# Cognilium AI > Cognilium AI is an AI company. It builds AI systems businesses run every day: agents that do real work, answers drawn from a company's own data, document intelligence, and voice. It proves its engineering on its own products, and it brings that AI into the heart of business operations: optimization apps that work in tandem with Microsoft Dynamics 365. Founded in 2019 by Mudassir Marwat. 37 AI agents running in production across four of its own products, on AWS, GCP and Azure, each with infrastructure as code. Its Dynamics apps complement the ERP and the implementation partner, and never compete with either: Dynamics is the system of record, Cognilium is the system of intelligence. Remote-first, working with clients in the US, UK, UAE and Pakistan. Last updated: September 2026 ## Company - Name: Cognilium AI - Type: AI company (AI product engineering). It builds AI systems businesses run every day: agents, retrieval over a company's own data, document intelligence, voice, and the data and cloud engineering underneath them. - Does AI for: Microsoft Dynamics 365 (Finance & Operations, Supply Chain Management, Business Central, and the Customer Engagement apps on Dataverse), SAP and modern ERP platforms — built on each platform’s own supported integration surface. - Product line: the Dynamics 365 optimization apps, shipped as an independent software vendor — apps that run in tandem with an ERP that is already live, alongside the partner who implemented it. - Founded: 2019 - Founder: Mudassir Marwat (Founder & CEO) - Model: remote-first, embedded with clients' teams, across US and UK hours - Delivery model: remote-first, embedded with clients' teams, US and UK hours - Clients: Enterprise teams in the United States, United Kingdom, United Arab Emirates, and Pakistan - AI Agents in Production: 37 (across four products) - Clouds in Production: 3 (AWS, GCP, Azure), each with infrastructure-as-code - Production AI Products Built: 4 (Paralegent AI, ProspectVox, VectorHire, VORTA) - Website: https://cognilium.ai - Contact Email: mudassir@cognilium.ai - Phone: +92 303 9022368 ## About Cognilium AI Cognilium AI is an AI company. We build AI systems businesses run every day: assistants that carry out real work, answers drawn from a company's own data, documents read and understood, and conversations held by voice. We exist because every business already owns its biggest AI opportunity. It sits in the systems it runs and the data those systems keep. A business records everything, every order, every price, every document, every call. And then the real decisions are still made by hand, in a spreadsheet, from an export. Our work is to close that gap: to turn the data a business already has into decisions and systems it can rely on. That purpose has carried us from our start in large-scale data engineering, through building our own AI products, to where we are today: bringing AI into the heart of business operations, in tandem with Microsoft Dynamics 365. An ERP gets a process 80% of the way. The last 20%, the optimal price, the optimal stock level, the quote that goes out first, is where the margin lives, and that is what we build. We never touch the ERP core. We surround it with intelligence. Founded in 2019, we work as part of our clients' teams, agree what done means before we begin, and stay after launch. The rule has not changed: proof over hype. ### Company description (short field) Cognilium AI is a leading AI-enabled SaaS application development and ERP-optimization company, specializing in Generative AI, intelligent automation, and decision intelligence for Microsoft Dynamics 365, SAP and modern ERP platforms. We empower businesses to harness the power of AI through innovative, scalable, and high-performance systems tailored to meet industry-specific needs. ### Company type Cognilium AI is an AI product-engineering company: AI-enabled SaaS applications, data platforms, automation and generative-AI systems, built to fit each industry's own way of working. ## What Cognilium AI Does Cognilium AI builds the decision layer beside Microsoft Dynamics 365. Your ERP records the price, the pick path, the stock level, the quote. It cannot tell you the optimal one, so someone in your business exports the data to a spreadsheet and decides by hand. That decision is what we build. We never touch your ERP core and we never compete with your Dynamics partner: our apps read your own catalogue, stock, customers and history live, and write back only what they created. Behind this sits seven years of engineering you can check: 37 AI agents running live across four of our own products, on all three major clouds. A contract review that took a legal team hours comes back in 5 to 10 minutes inside Microsoft Word. A marketplace platform we rebuilt runs 3,000 checks every 2 minutes for 2,000 users, with a 97% database-load reduction. Model routing cut one platform’s LLM spend by 75%. The first working system lands in your workflow in about three weeks, and we tell you up front when something will not work. Cognilium also runs a separate AI engineering practice building production agent, retrieval and data systems for enterprises. ## Cognilium In One Line "We build AI optimization apps that plug into Microsoft Dynamics 365, so your pricing, warehouse, inventory and contracts run on data-science-driven decisions, not just rules." In 25 words: "Dynamics is your system of record. We are your system of intelligence, complementary apps that optimize the pricing, planning and warehouse decisions your ERP can only manage." Put plainly: AI optimization apps that make Microsoft Dynamics 365 smarter. ## How Cognilium Is Different 1. Complement, never compete. Cognilium makes an existing Dynamics investment worth more. It does not replace the ERP and does not step on the implementation partner. 2. Optimize what ERP only manages. Dynamics manages pricing, warehouses and inventory. Cognilium optimizes them with data science. 3. AI-native and Dynamics-fluent. A team that speaks both ERP process and machine learning, so integration is native rather than bolted on. 4. Built on the customer’s governed stack. Power Platform, Dataverse and Azure, shippable via AppSource. Secure, integrated and IT-approved. 5. The last mile is where the money is. ERP gets a process about 80% of the way. The optimal decision, the last 20%, is where the margin and the savings live. What Cognilium does is AI, and it does it inside the ERP platforms businesses already run: Microsoft Dynamics 365, SAP and modern ERP. The partner who implemented the ERP keeps running it, and Cognilium makes what they built worth more. The line it draws: “We don’t touch your ERP core. We surround it with intelligence.” ## Dynamics 365 Optimization The primary track: AI optimization apps that run in tandem with Microsoft Dynamics 365, plus the warehouse campaign pages. The apps: - **Pricing Optimizer** — Pricing & discounting. Dynamics manages: Trade agreements, price lists. Cognilium optimizes: Elasticity-aware, margin-optimal price and discount schedules. - **Pick-Path & Slotting Optimizer** — Warehouse management. Dynamics manages: Bins, inventory, WMS. Cognilium optimizes: Where inventory should live, so pickers walk less. - **Contract Review Copilot** — Contract / procurement. Dynamics manages: Purchase and sales agreements. Cognilium optimizes: MSA/MPA review and redlining for in-house legal. Shipped as Paralegent AI. - **Demand & Inventory Optimizer** — Supply & inventory planning. Dynamics manages: MRP, reorder points. Cognilium optimizes: Demand forecasts and safety-stock levels. - **Allocation & Assortment Optimizer** — Apparel retail (allocation, size curves, store clustering). Dynamics manages: Assortments, retail category hierarchies, replenishment parameters. Cognilium optimizes: How deep to go per channel and in which sizes, derived from that channel's own rate of sale. Where the apps run: inside the customer’s own Microsoft tenant. They are Dataverse-native and run on Power Platform, with Azure for the model workload, and ship via AppSource where that suits procurement. The ERP core is not modified and the partner who implemented it keeps running it. Precision on “Azure tenancy”: the phrase is ours and it means the customer’s own Microsoft tenant, not a Cognilium-owned one. To be exact about the layers — Dataverse and Power Platform are the environment the apps live in, and Azure carries the model workload. Cognilium never hosts the customer’s data. - [AI Without Lock-In](https://cognilium.ai/dynamics-365/ai-without-lock-in): What an AI layer adds to a Dynamics estate, what it does not, and what remains when you remove it - [Assortment Optimization](https://cognilium.ai/dynamics-365/assortment-optimization): Allocation, size curves and store clustering for apparel — Commerce names the assortment; it never derives how deep, in which sizes, where - [Built to Order](https://cognilium.ai/dynamics-365/built-to-order): Custom Power Apps, document intelligence and ERP-side builds where no packaged app exists — with the five status words stated plainly - [Business Central vs Finance Operations Warehouse](https://cognilium.ai/dynamics-365/business-central-vs-finance-operations-warehouse): Business Central versus Finance & Operations for warehouse management - [AI Consulting & Custom Builds](https://cognilium.ai/dynamics-365/consulting): The AI-first Dynamics 365 consulting practice — implementation, extension, custom Power Apps and AI-driven extensions, the Fabric data layer and support after go-live, on Business Central and Finance & Supply Chain Management - [Demand Inventory Optimization](https://cognilium.ai/dynamics-365/demand-inventory-optimization): Reorder points and safety stock derived from demand variability, not MRP defaults - [Excel Workarounds](https://cognilium.ai/dynamics-365/excel-workarounds): Why recurring spreadsheets exist beside the ERP, and how to tell which are worth replacing - [Fabric Data Foundation](https://cognilium.ai/dynamics-365/fabric-data-foundation): The Fabric-enabled, AI-ready data strategy for Dynamics 365 F&SCM and Business Central — which link to use, what it commits you to, and what security does not carry into the lake - [Dynamics 365 Integration](https://cognilium.ai/dynamics-365/integration): The six Dynamics 365 integration patterns and the four published limits that actually decide the design — service protection, OData throughput, business-event ordering, recurring-integration redelivery - [Dynamics 365 MCP Server](https://cognilium.ai/dynamics-365/mcp-server): What the Dynamics 365 MCP server reaches, and the class of question it cannot compute — Business Central ships one built in, so the boundary is the work - [Optimizers](https://cognilium.ai/dynamics-365/optimizers): The five optimization apps that run in tandem with Dynamics 365 — four horizontal, one apparel-retail - [Pick Optimization Methods](https://cognilium.ai/dynamics-365/pick-optimization-methods): Pick-path and slotting methods, and which ones Dynamics 365 already performs - [Pricing Optimization](https://cognilium.ai/dynamics-365/pricing-optimization): Computing the recommended price per quote line, beside the ERP that records it - [Quote Rabbit](https://cognilium.ai/dynamics-365/quote-rabbit): Quoting for Business Central distributors — a messy request becomes a reviewed, sent quote, with the uncertain lines marked - [Warehouse Pick Optimization](https://cognilium.ai/pick-optimization): What Dynamics 365 Warehouse slotting does, and what it leaves to you - [ERP AI](https://cognilium.ai/erp-ai): AI built inside Microsoft Dynamics 365 Finance and Operations, and SAP - [Pick diagnostic](https://cognilium.ai/pick-diagnostic): Send order lines and a location list, find out what current placement costs ## Services ### AI Agents & Multi-Agent Systems - URL: https://cognilium.ai/services/ai-agents - Agentic AI that takes actions in your own tools and data: what it is, where multi-agent systems break in production, and the guardrails that hold. ### Cloud Architecture & DevOps - URL: https://cognilium.ai/services/cloud-devops - Three clouds in production, each with its own infrastructure as code. Scalable, secure foundations where cost engineering is treated as a feature. ### Data Engineering & Pipelines - URL: https://cognilium.ai/services/data-engineering-intelligence - The clean, reliable data foundations AI runs on: ingestion, lakes, streaming and search indexing, with recovery built in for when a source misbehaves. ### Document Intelligence - URL: https://cognilium.ai/services/document-intelligence - Documents read, classified, extracted and validated, with confidence you can audit. Every value carries the quote and page it came from. ### Enterprise Search, RAG & Knowledge Retrieval - URL: https://cognilium.ai/services/rag-knowledge-retrieval - Ask in plain English, get sourced answers from your own documents and data. RAG, GraphRAG, NL2SQL and hybrid search, with every answer traceable to its source. ### Large-Scale Web Scraping & Price Intelligence - URL: https://cognilium.ai/services/web-scraping - High-volume collection from sites that resist it, turned into clean searchable feeds. Six tiers of escalation, with the honest cost of each one stated. ### SaaS & Product Engineering - URL: https://cognilium.ai/services/saas-development-startups - End-to-end product builds: front end, back end, AI and infrastructure by one team — including multi-tenant architecture, the hardest kind to get right. ### Talent Cloud (Staff Augmentation) - URL: https://cognilium.ai/services/staff-augmentation - Senior AI engineers embedded in your team, working in your repos and your sprints, on the patterns we run in our own production systems. ### Voice AI - URL: https://cognilium.ai/services/voice-ai - Real-time voice systems that hold a conversation: low latency, interruption handling, many languages, and the business systems updated while the call is live. ## Products (Proof of Engineering Capability) These are products Cognilium built to prove it can ship production AI. They demonstrate the same engineering quality delivered to clients. ### Paralegent AI — AI Contract Review - URL: https://cognilium.ai/products/paralegent-ai - External: https://www.paralegent.ai - AI-powered contract review that works inside Microsoft Word. 23 agents (12 category scorers routing to 11 specialist analysts) analyze contracts across 12 legal categories in five to ten minutes for a master agreement. Rulebook-driven: the AI applies your company's rules, preferred positions, and fallback language to every contract. Deployed in customer cloud for maximum security. Green/Orange/Red risk classification with AI-generated replacement language for flagged clauses. ### ProspectVox — Voice AI Sales Automation - URL: https://cognilium.ai/products/prospectvox-ai - Multi-agent voice AI system for automated outbound sales prospecting. 4 specialized agents: LinkedIn Intelligence Agent (profile analysis and personalization), Company Research Agent (business context and pain points), Product Knowledge Agent (solution matching), Outbound Call Agent (dynamic scripting and real-time objection handling). Integrates with Salesforce, HubSpot, Pipedrive. ### VectorHire — AI Recruiting Platform - URL: https://cognilium.ai/products/vectorhire - AI recruiting platform with parallel screening agents. Simultaneously analyzes resumes, LinkedIn profiles, and GitHub repos. Includes AI voice screening interviews with evidence-backed candidate reports. Integrates with Greenhouse, Lever, Workday. ### VORTA — AI Customer Support Agent - URL: https://cognilium.ai/products/vorta - AI customer support agent that handles tickets 24/7. LLM-powered responses with vector search across knowledge bases. Multi-language support (10+ languages). Sentiment analysis, priority routing, intelligent escalation to human agents. Integrates with Salesforce, HubSpot, Zendesk. ## Solutions (Curated Highlights) - [Enterprise Agent Orchestration](https://cognilium.ai/solutions/enterprise-agent-orchestration): Production multi-agent systems on AWS Bedrock AgentCore - [AI Contract Review](https://cognilium.ai/solutions/legal-contract-review): AI-powered contract analysis with risk scoring - [Legal AI Ops](https://cognilium.ai/solutions/legal-ai-ops): Legal AI Ops for Dynamics 365 and SAP — contract review, obligation extraction and renewal intelligence inside the ERP - [AI Quoting Engine for Distributors](https://cognilium.ai/solutions/rfq-quoting-engine): RFQ intake to reviewed quote for sourcing businesses — phased, no ERP rebuild - [Advanced Web Scraping](https://cognilium.ai/solutions/data-engineering-intelligence/advanced-web-scraping-solution): Enterprise-scale web scraping that bypasses bot detection - [Price Aggregation Pipeline](https://cognilium.ai/solutions/data-engineering-intelligence/large-scale-price-aggregator): Process millions of products daily - [Enterprise RAG Search](https://cognilium.ai/solutions/genai-agentic-intelligent/enterprise-rag-search-system): Multimodal RAG with citation grounding - [Slack RAG Chatbot](https://cognilium.ai/solutions/genai-agentic-intelligent/agentic-workflow-slack-chatbot-rag-search): Agentic workflow automation in Slack - [WhatsApp Commerce Bot](https://cognilium.ai/solutions/genai-agentic-intelligent/whatsapp-ecommerce-chatbot-erp-integration): WhatsApp chatbot with ERP integration ## Case Studies (3) - [Why Contract Review Is Slow: The Playbook Only Exists in Someone's Head](https://cognilium.ai/case-studies/contract-review-against-your-own-playbook) [Legal / Contract Operations · Your playbook, not generic practice]: Every company that reviews contracts has a playbook — the rules its legal team has agreed it will and will not accept. It is a document, and it does not… - [How a Multi-Family Office Made Its Own Documents Answerable](https://cognilium.ai/case-studies/family-office-unfunded-commitments-platform) [Financial Services / SaaS · One platform, many families, no shared data]: A family office's job is to know what a family owns and what it owes. That answer lived across an accounting system, a document drive, a calendar and an inbox… - [How a K-12 Publisher Made 30 PDFs of Methodology Usable in a Classroom](https://cognilium.ai/case-studies/k12-curriculum-publisher-ai-lessons) [Education / EdTech · 1.37M characters, one lesson at a time]: A writing-curriculum publisher had 1.37 million characters of proven methodology and teachers who could not use it. The material was not the problem — finding… ## Industries Cognilium AI serves enterprises across 3 industry practices: - [Financial Services](https://cognilium.ai/industries/financial): Banking and fintech AI - [Manufacturing](https://cognilium.ai/industries/manufacturing): IoT and process automation - [Marketing](https://cognilium.ai/industries/marketing): Campaign and ROI AI ## Technology Stack - Agentic AI: OpenAI Assistants v2, CrewAI, LangGraph, LangChain, LlamaIndex - RAG: GraphRAG, Pinecone, Qdrant, pgvector, Weaviate, OpenSearch - Voice AI: Twilio, ElevenLabs, real-time streaming, multi-language - LLMOps: LangSmith, cost optimization, model routing - Cloud: AWS (Bedrock, Lambda, ECS), Azure, Google Cloud - Backend: Python, FastAPI, Node.js, Next.js - Data: PostgreSQL, MongoDB, Redis, Elasticsearch ## Frequently Asked Questions Q: What does Cognilium AI do? A: Cognilium AI builds AI optimization apps that work in tandem with Microsoft Dynamics 365. Dynamics records and manages the transaction; our app computes the optimal decision — the optimal price, the optimal pick path, the optimal stock level. We complement the ERP and the implementation partner rather than competing with either. Cognilium also runs a separate AI engineering practice building production agent, retrieval and data systems for enterprises. Q: How is Cognilium different from AI consulting firms? A: Cognilium engineers and ships production AI. We built 4 of our own products (Paralegent AI, ProspectVox, VectorHire, VORTA) before building for clients. That is proof we ship — consulting firms advise, we build. Q: How quickly can Cognilium deploy AI systems? A: A working proof of concept lands in days and something in production in about three weeks. The standard start is a scoped four-to-six-week pilot on one workflow. Embedded engineers are available within 48 to 72 hours. Q: Where is Cognilium AI located? A: Cognilium AI is remote-first, working as part of its clients' teams across US and UK hours, with clients in the United States, United Kingdom, United Arab Emirates and Pakistan. All work is done remotely via video calls, Slack, and whatever project tooling the client already uses. Contact and legal details are on cognilium.ai/contact. Q: How much does Cognilium charge? A: Pricing is per engagement and is agreed with the team, never published. Every project is scoped to the work, so the honest answer to a price question is a conversation: mudassir@cognilium.ai, or book a working session. The standard way to start is a scoped four-to-six-week pilot on one workflow with a single success metric agreed up front. Q: Who is the founder? A: Mudassir Marwat, Founder & CEO. Founded Cognilium AI in 2019 and leads it from the keyboard. Built 4 production AI products. Specializes in agentic AI, RAG architectures, and enterprise AI implementation. LinkedIn: https://www.linkedin.com/in/mudassir-marwat/ Q: What results do clients achieve? A: 37 AI agents running in production across four products, deployed on all three major clouds, each with its own infrastructure-as-code. Named engineering outcomes include a 97% database-load reduction on a marketplace-monitoring platform and a material cut in AI running costs through model routing on a contract-intelligence platform. Q: Can Cognilium augment my existing team? A: Yes. Pre-vetted senior GenAI engineers embed with your team within 48-72 hours. They work in your sprint cadence, your stack, your tools. No long-term commitments required. ## Engineering Blog (252 posts) - [What can Agent Designer build in Business Central, and what still needs a developer?](https://cognilium.ai/blogs/agent-designer-business-central-limitations) [Copilot Boundary]: Agent Designer prototypes custom agents without a developer, up to a point. What it covers, and where an AL developer is still required. - [What does a Business Central agent consume in Copilot Credits?](https://cognilium.ai/blogs/business-central-agent-copilot-credits) [Copilot Boundary]: Copilot is included with the licence; custom agents consume Copilot Credits as they run their steps. What Microsoft publishes about the consumption units. - [How does a Business Central agent interact with pages instead of an API?](https://cognilium.ai/blogs/business-central-agent-drives-the-ui) [Copilot Boundary]: A Business Central agent works through the same pages a person uses rather than through an API. Why Microsoft built it that way, and what follows from it. - [Where do the built-in Business Central agents stop?](https://cognilium.ai/blogs/business-central-agent-limitations) [Copilot Boundary]: The shipped agents cover defined ground and no more. Where the documented boundary falls, and what has to be built on the other side of it. - [Which Business Central version do you need for agents and MCP?](https://cognilium.ai/blogs/business-central-version-agents-mcp) [Copilot Boundary]: Agents and the MCP server carry version and environment requirements. Which release you need, and which deployment types are excluded outright. - [Copilot, agent or agentic workflow — which is which?](https://cognilium.ai/blogs/copilot-agent-or-agentic-workflow) [Copilot Boundary]: Three words used interchangeably that mean three different things in Business Central. The distinction is the permission boundary, not the marketing. - [What does the Expense Agent do in Business Central?](https://cognilium.ai/blogs/expense-agent-business-central) [Copilot Boundary]: The Expense Agent handles expense capture end to end within documented boundaries. What it covers, and the point at which a human stays in the loop. - [What are the published limits on the Payables Agent?](https://cognilium.ai/blogs/payables-agent-limits-business-central) [Copilot Boundary]: What Microsoft documents the Payables Agent can and cannot do, taken from its own pages, including where a person still has to approve the work. - [What does the Sales Order Agent read, and what does it skip?](https://cognilium.ai/blogs/sales-order-agent-business-central) [Copilot Boundary]: The Sales Order Agent keys orders from incoming requests. What it reads, what it passes over, and where it stops and hands the work to a person. - [What is agentic ERP, and how is it different from Copilot?](https://cognilium.ai/blogs/what-is-agentic-erp) [Copilot Boundary]: Copilot inherits your permissions and returns a suggestion. An agent is a user of its own, with its own permission set, working in the background. - [What is an AI agent in Business Central, in plain terms?](https://cognilium.ai/blogs/what-is-an-ai-agent-business-central) [Copilot Boundary]: An agent is treated as a user in Business Central, assigned permission sets that control what it can read and do. Here is what that means in practice. - [What is MCP, and what does it actually do inside an ERP?](https://cognilium.ai/blogs/what-is-mcp-inside-an-erp) [Copilot Boundary]: MCP publishes ERP data and actions as tools a language model can call, under an identity with its own permissions. What that buys, and what it does not. - [When should you not build an ERP agent?](https://cognilium.ai/blogs/when-not-to-build-an-erp-agent) [Copilot Boundary]: Most of the cases that look like agent problems are not. The tests worth running before committing, and the cheaper mechanisms that usually win. - [Can a Business Central agent run automatically when a contract arrives?](https://cognilium.ai/blogs/can-a-business-central-agent-run-when-a-contract-arrives) [Legal AI in the ERP]: Not yet. Microsoft documents no built-in trigger for an inbound email, an event or a schedule, and contract work is made of those three. GA is October 2026. - [Does row-level security carry from Dynamics 365 into Fabric?](https://cognilium.ai/blogs/does-row-level-security-carry-into-fabric) [ERP Write-Back & Integration]: It does not. Extensible data security is bypassed for Synapse Link, so lakehouse access shows every legal entity and cost price. What to rebuild. - [Where does the storage bill land for Link to Microsoft Fabric?](https://cognilium.ai/blogs/fabric-link-storage-lands-on-dataverse) [ERP Write-Back & Integration]: Not on Azure. Fabric link storage is charged to Dataverse capacity and shows up in the Power Platform admin center, where nobody is looking. - [What happens when you unlink Dynamics 365 from Microsoft Fabric?](https://cognilium.ai/blogs/what-happens-when-you-unlink-fabric) [ERP Write-Back & Integration]: Unlinking deletes the Fabric lakehouse, and everything built on it goes too. What to check before anyone treats it as a reversible setting. - [What makes AI contract review expensive, and what controls the cost?](https://cognilium.ai/blogs/what-makes-ai-contract-review-expensive) [Legal AI in the ERP]: Every playbook term against every clause is a multiplication, not a sum. The lever is routing: decide cheaply what to read before the expensive model runs. - [How does AI contract review work in Dynamics 365 Business Central?](https://cognilium.ai/blogs/ai-contract-review-in-business-central) [Legal AI in the ERP]: Business Central holds the commitment, not the contract. AI review reads the document your ERP never sees, then checks the terms that did reach it. - [Can an approval workflow protect a negotiated term in Business Central?](https://cognilium.ai/blogs/approval-workflow-protect-negotiated-term-business-central) [Legal AI in the ERP]: Yes for a change, no for the original entry. Business Central can revert an edited field and route it, but no workflow knows if the first value was right. - [Can you build a contract agent with Agent Designer in Business Central?](https://cognilium.ai/blogs/build-contract-agent-agent-designer-business-central) [Legal AI in the ERP]: Microsoft names contracts as a supported type, but agents cap PDFs at ten pages and read text rather than layout. The document handling is the real work. - [Build or buy AI contract review?](https://cognilium.ai/blogs/build-or-buy-ai-contract-review) [Legal AI in the ERP]: Buy, in most cases, and the deciding reasons are not the ones vendors give. What you purchase is resilience rather than intelligence. - [CLM software or your ERP — where should contract terms live?](https://cognilium.ai/blogs/clm-software-or-your-erp) [Legal AI in the ERP]: Both, and the split is not arbitrary. CLM holds the document and its history; the ERP holds the terms that price a purchase order. Microsoft documents it. - [How do you run a contract compliance audit in Business Central?](https://cognilium.ai/blogs/contract-compliance-audit-business-central) [Legal AI in the ERP]: Start from the ERP, not the filing cabinet. Business Central already holds the terms performed every day, and auditing those finds the money faster. - [What are your options for contract management in Business Central?](https://cognilium.ai/blogs/contract-management-options-business-central) [Legal AI in the ERP]: Three routes: what Business Central already ships, an AppSource add-on, or external CLM. Which fits depends on whether you need to schedule money or know terms. - [What should a contract review checklist actually contain?](https://cognilium.ai/blogs/contract-review-checklist) [Legal AI in the ERP]: Positions, not topics. A checklist listing what to look at gives a different answer every time; one stating what to accept is the only kind a system can act on. - [How do contracts work in Business Central vs Finance & Supply Chain Management?](https://cognilium.ai/blogs/contracts-in-business-central-vs-finance-supply-chain) [Legal AI in the ERP]: Business Central holds a blanket order, Finance and Supply Chain holds a purchase agreement, and only one documents a rule that stops you breaking the price. - [Do you need CLM software if you run Business Central?](https://cognilium.ai/blogs/do-you-need-clm-software-with-business-central) [Legal AI in the ERP]: Enterprise CLM platforms point their Dynamics integrations at Finance and Operations and Sales, not Business Central. You need something, likely not those. - [FIFO or standard queue for parallel AI work?](https://cognilium.ai/blogs/fifo-or-standard-queue-for-parallel-ai-work) [Legal AI in the ERP]: FIFO where order is the correctness requirement, standard where throughput is. A document pipeline usually needs both, at different stages. - [How does AI contract review actually work?](https://cognilium.ai/blogs/how-does-ai-contract-review-work) [Legal AI in the ERP]: It reads each contract against your own playbook rather than general legal knowledge, scores every clause, and puts the result in front of a reviewer in Word. - [How do negotiated terms reach a purchase agreement in Dynamics 365?](https://cognilium.ai/blogs/how-negotiated-terms-reach-a-purchase-agreement) [Legal AI in the ERP]: Five terms cross over and the rest stay in the document. An agreement attaches only at purchase-order creation, and a changed price breaks the link silently. - [How do you manage MSAs, SOWs and MOUs in Business Central?](https://cognilium.ai/blogs/msa-sow-mou-contract-management-business-central) [Legal AI in the ERP]: An MSA sets terms, a SOW spends against them, an MOU commits nothing. Business Central has one flat vendor record for all three, and cannot show the hierarchy. - [Pre-signature or post-signature — which contract AI do you actually need?](https://cognilium.ai/blogs/pre-signature-or-post-signature-contract-ai) [Legal AI in the ERP]: Two different products sold under one name. Pre-signature reads a draft against your rules; post-signature watches what you agreed. Most teams buy the first. - [We missed a contract renewal — how do you stop it happening again?](https://cognilium.ai/blogs/we-missed-a-contract-renewal) [Legal AI in the ERP]: A missed renewal is a data problem, not a reminder problem. The date lived in a PDF nobody queries, owned by nobody, with no consequence attached. - [What breaks when a CLM writes back to Dynamics 365?](https://cognilium.ai/blogs/what-breaks-when-clm-writes-back-to-dynamics) [Legal AI in the ERP]: Four things, all documented by Microsoft. A changed price breaks the commitment link, an agreement cannot attach after the order exists, and a field is cleared. - [What does the Payables Agent actually read, and what does it skip?](https://cognilium.ai/blogs/what-does-the-payables-agent-read) [Legal AI in the ERP]: It reads PDF attachments in a monitored mailbox, extracts with Azure Document Intelligence, and drafts an invoice. What it skips is the more useful list. - [What is contract lifecycle management, and where does AI actually help?](https://cognilium.ai/blogs/what-is-contract-lifecycle-management) [Legal AI in the ERP]: Eight stages from request to renewal, and AI helps unevenly. Three are transformed, three barely touched, and the two that leak money are usually ignored. - [What is contract redlining, and can AI actually do it?](https://cognilium.ai/blogs/what-is-contract-redlining) [Legal AI in the ERP]: Redlining is proposing the edit, not flagging the risk. That distinction decides whether a system saves a reviewer time or simply moves the work elsewhere. - [What is legal AI, and which kind actually changes how work gets done?](https://cognilium.ai/blogs/what-is-legal-ai) [Legal AI in the ERP]: Four things share the name: assistants, copilots, agentic workflows and decision intelligence. Only two change how work gets done. - [What is Microsoft Syntex, and can it do contract work?](https://cognilium.ai/blogs/what-is-microsoft-syntex-contract-work) [Legal AI in the ERP]: Microsoft document understanding for SharePoint, now inside SharePoint Premium. It extracts fields where files live. It cannot check them against your ERP. - [What is obligation extraction, and where should the obligations live?](https://cognilium.ai/blogs/what-is-obligation-extraction) [Legal AI in the ERP]: Pulling the promises out of a signed contract and turning each into something a system can check. Extraction is the easy half; where they live is the hard half. - [What is playbook-driven contract review?](https://cognilium.ai/blogs/what-is-playbook-driven-contract-review) [Legal AI in the ERP]: Review against your own rules instead of general legal knowledge. The playbook is the standard, so its structure decides the quality of every answer. - [What is third-party paper, and how do you review it?](https://cognilium.ai/blogs/what-is-third-party-paper) [Legal AI in the ERP]: Any agreement drafted on the counterparty template rather than yours. It is most of what a mid-market company signs, and it defeats clause-position review. - [When should contract AI escalate to a human reviewer?](https://cognilium.ai/blogs/when-should-contract-ai-escalate-to-a-human) [Legal AI in the ERP]: On four triggers, not on a confidence score. A score in the middle is the least informative number in the system, and it fills queues with nothing useful. - [What happens when the model provider fails mid-contract review?](https://cognilium.ai/blogs/when-the-model-provider-fails-mid-contract) [Legal AI in the ERP]: A review is hundreds of calls across several stages, so an outage lands mid-document. What separates a demo from a product is whether finished work survives. - [Where did the Dynamics 365 release plans go?](https://cognilium.ai/blogs/where-did-dynamics-365-release-plans-go): Microsoft stopped publishing Dynamics 365 release plans in September 2026 and moved new capability to the AI at Work roadmap. Existing plans stay up. - [Where do contract renewal dates live in Business Central?](https://cognilium.ai/blogs/where-do-contract-renewal-dates-live-business-central) [Legal AI in the ERP]: Real fields exist: Cancellation Possible Until, Term Until, Subsequent Term. The clauses that fill them sit in a document nothing reads. Blank means terminable. - [Our contracts live in six places — where should a contract repository actually be?](https://cognilium.ai/blogs/where-should-contracts-live-contract-repository) [Legal AI in the ERP]: One place for the document, one for the terms that act. A repository holding files solves finding; it does not solve knowing, and those are different problems. - [Why does contract review take so long?](https://cognilium.ai/blogs/why-does-contract-review-take-so-long) [Legal AI in the ERP]: Usually not the reading. Waiting, deciding twice, chasing the counterparty and re-reading what was agreed consume it, and only one is fixed by reading faster. - [What is nanochat? Andrej Karpathy's full-stack LLM, explained](https://cognilium.ai/blogs/introducing-nanochat) [Production LLMOps & Evaluation]: nanochat is Andrej Karpathy's minimal end-to-end ChatGPT clone: tokenizer, pretraining, fine-tuning, inference and a web UI in one small codebase you can read. - [What is agentic RAG, and when is the extra loop worth it?](https://cognilium.ai/blogs/agentic-rag-when-retrieval-becomes-a-decision) [Enterprise GraphRAG & Knowledge Systems]: Classic RAG retrieves once and answers. Agentic RAG lets the model decide whether to retrieve, what to ask for, and when to stop. Here is what that costs. - [Can an AI agent chase a supplier for a delivery date?](https://cognilium.ai/blogs/can-an-agent-chase-a-supplier-delivery-date) [Engineering Quote Automation]: Microsoft's agent never contacts a supplier. It computes a promised date from capable-to-promise setup, so it is only as good as the lead-time fields behind it. - [Can an AI agent price a quote line without knowing the customer?](https://cognilium.ai/blogs/can-an-agent-price-without-knowing-the-customer) [Engineering Quote Automation]: It can produce the document but not the price. The agent resolves identity from the email address alone and is designed not to discuss discounts at all. - [Does the Dynamics 365 ERP MCP server truncate results?](https://cognilium.ai/blogs/does-the-erp-mcp-server-truncate-results) [Copilot Boundary]: Form state carries at most twenty-five rows, and the warning is an instruction a builder can delete. The cap is on the form path, not the data path. - [How does an AI agent turn an RFQ into a quote?](https://cognilium.ai/blogs/how-an-ai-agent-turns-an-rfq-into-a-quote) [Engineering Quote Automation]: An agent reads the request, identifies the customer, matches each line and prices it. What it does with the lines it cannot resolve is the real engineering. - [How does RFQ line-item matching actually work?](https://cognilium.ai/blogs/how-rfq-line-item-matching-works) [Engineering Quote Automation]: Three layers in order: exact identifier, then attributes, then global fuzzy search. Microsoft documents all three, and the third runs on the hardest lines. - [Data tools, form tools or action tools — which does your ERP agent need?](https://cognilium.ai/blogs/mcp-data-tools-vs-form-tools-vs-action-tools) [Copilot Boundary]: Three tool families on the Dynamics 365 ERP MCP server, in the priority order Microsoft publishes: data tools for CRUD, form tools for what the app decides. - [Sales Order Agent or your own quoting agent — which request goes where?](https://cognilium.ai/blogs/sales-order-agent-or-your-own-quoting-agent) [Engineering Quote Automation]: Microsoft's agent handles the shape it was built for and its limits are published. The dividing line is your RFQs: line count, line types, where answers live. - [What can a quoting agent read and write in Business Central?](https://cognilium.ai/blogs/what-a-quoting-agent-can-read-and-write) [Engineering Quote Automation]: It reads and writes as a named user, not through an API. It holds permission sets, works only on quotes and orders, creates no master data, and posts nothing. - [What should happen when a quote line matches nothing?](https://cognilium.ai/blogs/when-a-quote-line-matches-nothing) [Engineering Quote Automation]: It should say so, at zero, with the customer's own words attached. Microsoft documents its agent returning a washing machine for washing powder it cannot find. - [When is AI quote automation the wrong build?](https://cognilium.ai/blogs/when-ai-quote-automation-is-the-wrong-build) [Engineering Quote Automation]: Four cases where the honest answer is to build nothing: the shipped agent covers it, the catalogue cannot support matching, or quoting is not the bottleneck. - [Which environments can run the Dynamics 365 ERP MCP server?](https://cognilium.ai/blogs/which-environments-run-the-erp-mcp-server) [Copilot Boundary]: Tier 2 or above, or a Unified Developer Environment, and not a Cloud Hosted Environment. Plus three minimum versions and an allow-list your platform needs. - [Which model should a Dynamics 365 ERP agent run on?](https://cognilium.ai/blogs/which-model-should-an-erp-agent-run-on) [Copilot Boundary]: Microsoft names one recommended model for ERP MCP agents, one fallback and one to avoid. The recommended one is external, so an admin must approve it first. - [Why does quote automation get quantities wrong?](https://cognilium.ai/blogs/why-quote-automation-gets-quantities-wrong) [Engineering Quote Automation]: A quantity error produces a document that looks completely normal. Microsoft documents its agent returning 2,000 grams for 2 kilograms, and a price of zero. - [Can AI turn an emailed quote request into a Business Central quote?](https://cognilium.ai/blogs/ai-quote-request-to-business-central-quote) [AI Quoting for Business Central]: Microsoft ships an agent inside Business Central that reads an emailed request and creates a sales quote. This is the whole eight-step process underneath it,… - [Can you change an agent's prompt without a redeploy?](https://cognilium.ai/blogs/change-agent-prompt-without-redeploy) [Legal Contract Review]: Hot-reloading agent prompts and thresholds from a parameter store is operationally excellent and a governance problem — a behaviour change with no diff, no… - [What stops a degraded model from taking the whole queue with it?](https://cognilium.ai/blogs/circuit-breaker-degraded-llm-queue) [Legal Contract Review]: Retry is how a degraded model provider becomes an outage. A circuit breaker fails fast instead — and in a container fleet it protects far less than you think,… - [Why does a correction in a follow-up email get lost?](https://cognilium.ai/blogs/correction-in-a-follow-up-email) [AI Quoting for Business Central]: The message that changes something is almost always the second one. A correction names a product and a quantity, so every product test fires on it — and… - [Deterministic parsing or a model — when is the cheapest call the one you never make?](https://cognilium.ai/blogs/deterministic-parsing-or-llm) [Legal Contract Review]: The same pipeline ingests a spreadsheet with no model calls and a PDF with dozens. The format your customer sends decides your unit economics — which makes… - [Your container is mid-message and autoscaling just killed it](https://cognilium.ai/blogs/ecs-task-killed-mid-message) [Legal Contract Review]: Amazon ECS documents task scale-in protection and names queue-processing workloads in its first example. It works — and it will block your next deployment in… - [How do you review a contract against your own legal playbook with AI?](https://cognilium.ai/blogs/how-to-review-a-contract-against-your-own-playbook) [Legal Contract Review]: A contract review system that reads your own playbook is four services and three queues. This is the whole pipeline — what each stage costs, where it… - [Why can't you price a quote line until you know who is asking?](https://cognilium.ai/blogs/identity-before-you-can-price-a-line) [AI Quoting for Business Central]: A price list, a contract price and a quantity break all hang off the customer record. Until a request resolves to a customer, a line can only be quoted at… - [Is a sentence in a quote email a product line or an instruction?](https://cognilium.ai/blogs/instruction-or-order-line-quote-email) [AI Quoting for Business Central]: A deadline, a job reference, a question and a signature block all name products and quantities. Send them to a catalogue and you get order lines nobody asked… - [Why should every quote request land in one queue, whatever channel it arrived on?](https://cognilium.ai/blogs/one-queue-every-quote-request) [AI Quoting for Business Central]: A distributor with four inbound channels has four queues and no answer to "what have we not replied to yet". The fix is not a faster reader — it is one queue… - [Is partial failure an outage, or a setting?](https://cognilium.ai/blogs/partial-failure-outage-or-setting) [Legal Contract Review]: When three of twelve agents fail, does the job fail? Making that a configured threshold rather than an exception is the right call at scale — and it produces… - [Why does a quote that looks correct cost the most?](https://cognilium.ai/blogs/quote-looks-correct-costs-most) [AI Quoting for Business Central]: The right item at the wrong quantity is worse than no match at all, because the item is visibly correct and nobody checks. Microsoft documents its own agent… - [Sales Order Agent or a companion quoting workspace — which request goes where?](https://cognilium.ai/blogs/sales-order-agent-or-companion-workspace) [AI Quoting for Business Central]: Not a contest — a sorting exercise. Business Central's agent handles the clean Exchange request from a registered contact under fifteen lines. This is how to… - [How do you show a reviewer why a quote line matched?](https://cognilium.ai/blogs/show-a-reviewer-why-a-line-matched) [AI Quoting for Business Central]: Two lines can both look certain while one was a coin toss between catalogue entries differing only in supplier. What separates them is how the match was… - [How do you stop eleven agents reporting the same clause eleven times?](https://cognilium.ai/blogs/stop-agents-reporting-same-clause-twice) [Legal Contract Review]: Parallel specialist agents all read the same text, so they all report it. Deduplicating across agents is not tidying — it is what decides whether the output… - [Does choosing the supplier belong to procurement, or to quoting?](https://cognilium.ai/blogs/supplier-choice-belongs-to-quoting) [AI Quoting for Business Central]: The supply decision sets the cost the margin sits on, so it belongs inside the quote. Business Central's agent checks inventory and promises dates — across… - [Twelve scorers, eleven analysts — what happens to the category with no specialist?](https://cognilium.ai/blogs/twelve-scorers-eleven-analysts) [Legal Contract Review]: A contract-review pipeline scores every chunk across twelve legal categories and routes it to eleven specialists. The missing twelfth is not an oversight — it… - [What AI contract review will not decide for you](https://cognilium.ai/blogs/what-ai-contract-review-will-not-decide) [Legal Contract Review]: Five decisions an AI contract reviewer does not make, each bounded to what we actually built — including the one that matters most, which is that nothing in… - [What does Business Central's Sales Order Agent not do?](https://cognilium.ai/blogs/what-sales-order-agent-does-not-do) [AI Quoting for Business Central]: Microsoft publishes the boundary of its own quoting agent in unusual detail — the channel, the line cap, variants, records it will not create, and pricing it… - [What should an AI system write back into Business Central, and what should it never touch?](https://cognilium.ai/blogs/what-to-write-back-into-business-central) [AI Quoting for Business Central]: Three writes are worth having: the quote, the customer's own names for your products, and a new customer record. Stock quantities, financial postings and… - [When is an AI quoting system the wrong thing to build?](https://cognilium.ai/blogs/when-not-to-build-ai-quoting) [AI Quoting for Business Central]: Five situations where this is the wrong investment, the cheaper fixes to try first, and an honest account of what nobody in this category can yet prove about… - [What should happen when a customer's words match nothing in your catalogue?](https://cognilium.ai/blogs/when-nothing-matches-your-catalogue) [AI Quoting for Business Central]: The honest answer is a line that says it matched nothing. Microsoft documents its own agent returning a washing machine for washing powder — the failure is… - [Where should retry live when your worker reads from a queue?](https://cognilium.ai/blogs/where-retry-lives-queue-worker) [Legal Contract Review]: A queue worker can retry in-process or let the queue redeliver. Doing both is correct — and the two tiers multiply rather than add, which is the cost nobody… - [How should an AI quoting system decide which lines a human must check?](https://cognilium.ai/blogs/which-lines-a-human-must-check) [AI Quoting for Business Central]: The saving is not that a machine read the request. It is that a person reviews three lines instead of forty — which only happens if something tells them which… - [Why does the contract reviewer live inside Word?](https://cognilium.ai/blogs/why-contract-reviewer-lives-in-word) [Legal Contract Review]: Putting AI review inside Word rather than in a portal is a distribution decision, and it cascades — into how you authenticate, what your output can be, and… - [Are retail product properties shared across all your legal entities?](https://cognilium.ai/blogs/are-retail-product-properties-shared-across-legal-entities) [Retail Assortment & Allocation]: Retail product properties in Dynamics 365 Commerce are global — every legal entity shares the same value. Basic product properties are legal entity–specific.… - [A Dynamics assortment decides whether a store may sell it, never how many](https://cognilium.ai/blogs/assortment-decides-whether-not-how-many) [Retail Assortment & Allocation]: An assortment in Dynamics 365 Commerce maps channels to products and carries no quantity, depth or open-to-buy field. The quantity lives in a different form,… - [Assortment vs category vs hierarchy — what actually decides whether a store can sell a product?](https://cognilium.ai/blogs/assortment-vs-category-vs-hierarchy) [Retail Assortment & Allocation]: A hierarchy classifies a product, a category groups it, and an assortment authorises it for a channel and a date range. Only one of the three decides whether… - [Can an assortment control how much stock a store gets?](https://cognilium.ai/blogs/can-an-assortment-control-store-stock-quantity) [Retail Assortment & Allocation]: No. The only place an assortment touches a quantity in Dynamics 365 Commerce is a checkbox called Respect assortments, and it is a veto rather than an input —… - [Can you have more than one product hierarchy in Dynamics 365 Commerce?](https://cognilium.ai/blogs/can-you-have-more-than-one-product-hierarchy) [Retail Assortment & Allocation]: You can build many category hierarchies in Dynamics 365 Commerce, but only one can carry the Product hierarchy type — one per organization. What that… - [Does Dynamics 365 Commerce do assortment planning?](https://cognilium.ai/blogs/does-dynamics-365-commerce-do-assortment-planning) [Retail Assortment & Allocation]: Microsoft's documentation says a Commerce product hierarchy is for assortment planning. This is every field that surface actually gives you — and every one is… - [How does Dynamics 365 Commerce decide how much stock each store gets?](https://cognilium.ai/blogs/how-commerce-decides-store-allocation-quantity) [Retail Assortment & Allocation]: Three distribution methods on the buyer's push, and all three resolve to a weight somebody typed — a replenishment rule carrying a Weight field, a… - [How do you group stores for assortments, and what does the Retail assortment purpose do?](https://cognilium.ai/blogs/how-to-group-stores-and-the-retail-assortment-purpose) [Retail Assortment & Allocation]: Store grouping in Dynamics 365 Commerce is an organization hierarchy you draw, and it does nothing for assortments until it carries the Retail assortment… - [Product hierarchy vs supplemental vs navigation — which one do you need?](https://cognilium.ai/blogs/product-hierarchy-vs-supplemental-vs-navigation) [Retail Assortment & Allocation]: Dynamics 365 Commerce has three category hierarchy types with three documented purposes. Which one carries merchandising and assortment planning, which one is… - [What Dynamics 365 Commerce merchandising will not decide for you](https://cognilium.ai/blogs/what-commerce-merchandising-will-not-decide) [Retail Assortment & Allocation]: Five merchandising decisions Dynamics 365 Commerce records faithfully and does not make — each one bounded to the pages we read — plus two things we have not… - [Why did my published assortment never reach the store?](https://cognilium.ai/blogs/why-a-published-assortment-never-reached-the-store) [Retail Assortment & Allocation]: Five documented reasons a published assortment does not appear at a channel in Dynamics 365 Commerce, the order to check them in, and the two pages that… - [Why is the only page explaining store allocation scoped to Dynamics AX 2012?](https://cognilium.ai/blogs/why-the-only-allocation-page-is-scoped-to-ax-2012) [Retail Assortment & Allocation]: The current buyer's push page runs to 319 words and names one distribution method. The only enumeration of the rest on Microsoft Learn is an archived page… - [How does Business Central decide which price applies?](https://cognilium.ai/blogs/business-central-best-price-calculation) [Pricing & Margin]: Business Central runs a published two-pass algorithm to pick a price — customer and item first, then quantity and currency — and resolves ties toward the… - [Line discount or invoice discount — which one is eating your margin?](https://cognilium.ai/blogs/business-central-line-discount-vs-invoice-discount) [Pricing & Margin]: Business Central has two sales discounts that stack — one resolved per line by the best-price algorithm, one applied to the document total afterwards. Tier is… - [Draft, Active, Verify Lines — what does the new sales pricing experience change?](https://cognilium.ai/blogs/business-central-price-lists-new-sales-pricing-experience) [Pricing & Margin]: Editing a line on an active Business Central price list silently sets that line back to Draft, and it stops counting in price calculation until someone runs… - [Business Central or Finance & Operations — which pricing engine are you actually on?](https://cognilium.ai/blogs/business-central-vs-finance-operations-pricing-engine) [Pricing & Margin]: Business Central resolves every price contest toward the lowest allowed number. Finance & Operations has no single equivalent rule — resolution depends on the… - [Three-way matching cannot catch a purchase order that was priced wrong](https://cognilium.ai/blogs/contract-price-versus-po-price) [Pricing & Margin]: Dynamics 365 checks the invoice against the purchase order and the receipt against the purchase order — never the purchase order against the agreement that… - [Can an external system ask Dynamics for a price?](https://cognilium.ai/blogs/dynamics-365-pricing-api-external-systems) [Pricing & Margin]: Yes — the pricing calculation API went generally available in June 2026 and returns a full price breakdown without creating a sales order. Tier is Finance &… - [Your ERP calculates every price. Why is the margin still leaking?](https://cognilium.ai/blogs/dynamics-365-pricing-margin-leakage) [Pricing & Margin]: Business Central defines the best price as the lowest one with the highest discount allowed on the day — its own documentation says so. Finance & Operations… - [Pricing & Discount Optimizer — the agreement-leakage audit (reference build)](https://cognilium.ai/blogs/pricing-discount-optimizer-agreement-leakage) [Pricing & Margin]: Reference build, not a delivered engagement: three-way matching checks the invoice against the purchase order, never against the price you agreed. - [Dynamics 365 can recalculate your safety stock. It still trusts the lead time you typed.](https://cognilium.ai/blogs/safety-stock-journal-trusts-your-lead-time) [Demand & Replenishment]: The safety stock journal recomputes minimum coverage from your own transaction history — over a window set by a lead time someone typed at go-live. - [Two discount rules hit the same line. Which one wins?](https://cognilium.ai/blogs/unified-pricing-management-concurrency-modes) [Pricing & Margin]: Finance & Operations has five concurrency modes for deciding which of several competing discounts applies to one order line, plus three system-level models… - [What are price attributes, component codes and price structures?](https://cognilium.ai/blogs/unified-pricing-management-price-attributes-components) [Pricing & Margin]: Finance & Operations builds a selling price from four objects — price attributes, price component codes, price structures and concurrency modes — and adds… - [Unified pricing management or the module it replaced — which are you on?](https://cognilium.ai/blogs/unified-pricing-management-vs-pricing-management-module) [Pricing & Margin]: Two Finance & Operations pricing modules use similar or identical navigation paths, only one can be active at a time, and Microsoft has deprecated the older… - [What will Dynamics 365 pricing not decide for you?](https://cognilium.ai/blogs/what-dynamics-365-pricing-will-not-decide) [Pricing & Margin]: Both Dynamics tiers resolve prices correctly and neither chooses what the price should be. Tier is both. Seven decisions no page in this cluster's sources… - [Is advanced warehouse management a setting you can turn on later?](https://cognilium.ai/blogs/advanced-warehouse-management-data-model-decision) [Warehouse Methods]: Microsoft publishes a migration tool for moving items onto warehouse management processes, and states that open inventory transactions do not block it. The… - [Batch above or below location — which did you choose, and can you change it?](https://cognilium.ai/blogs/batch-above-or-below-location) [Warehouse Methods]: Where the batch number sits relative to location decides whether the order or the warehouse chooses which batch ships. Microsoft names both models, and the… - [Cluster picking: process by location, or process by position?](https://cognilium.ai/blogs/cluster-picking-process-by-location-or-position) [Warehouse Methods]: One field on the cluster profile chooses between a consolidated pick with a sort step and one pick per position. Saving either by-position option deletes your… - [Which demand documents can Dynamics 365 actually cross-dock?](https://cognilium.ai/blogs/dynamics-365-cross-docking-limits) [Warehouse Methods]: There are two cross-docking features with two different answers. The opportunistic one supports one demand document type, hedged with Microsoft's own… - [Dynamics 365 directs every pick. Why is the walking still whatever it is?](https://cognilium.ai/blogs/dynamics-365-pick-path-decisions) [Warehouse Methods]: Four configuration objects decide where a picker goes and in what order, and every criterion inside them is about which stock rather than how far. In version… - [Is Dynamics 365 WMS fast enough for a high-volume distribution centre?](https://cognilium.ai/blogs/dynamics-365-wms-high-volume-distribution-centre) [Warehouse Methods]: Microsoft answers the scale question in its own deprecation register. Three warehouse surfaces were deprecated with performance named as the reason, each… - [Can Dynamics 365 run as a standalone WMS beside another ERP?](https://cognilium.ai/blogs/dynamics-365-wms-only-mode-standalone) [Warehouse Methods]: Yes, and Microsoft publishes the disqualifying limits as a nine-row table. The production row is narrower than it is usually quoted — it scopes to inbound and… - [Work creation failed at 07:05. Which location directive did it stop on?](https://cognilium.ai/blogs/location-directive-work-creation-failure) [Warehouse Methods]: Whether a wave stops when no location can be found is a setting on the Location directive failures page. Two documented conditions make a directive line skip… - [Power Fx is in the warehouse execution path. What does dynamic work classification decide?](https://cognilium.ai/blogs/power-fx-dynamic-work-classification) [Warehouse Methods]: A Power Fx formula now overrides work pool, work priority, location directive codes and work classes at work creation. Its own page names the feature… - [From May 2027 your scanner app has a twelve-month support window](https://cognilium.ai/blogs/warehouse-app-support-window-2027) [Warehouse Methods]: Two support policies apply to the Warehouse Management mobile app, and one of them started before this was published. Version 3 reached end of support in May… - [Why does your pick path zig-zag? Your location format is a sort key](https://cognilium.ai/blogs/warehouse-location-format-sort-key) [Warehouse Methods]: A location name is a string, and anything that orders pick lines orders that string. Microsoft's location format has a fixed-length segment field — the page… - [One wave template, or four? What wave design says about your building](https://cognilium.ai/blogs/wave-template-design-dynamics-365) [Warehouse Methods]: A wave template decides when work is created, in what batches, and whether a person sees it first. One template for a mixed building means parcel, pallet and… - [What will Dynamics 365 WMS not decide for you?](https://cognilium.ai/blogs/what-dynamics-365-wms-will-not-decide) [Warehouse Methods]: Four decisions sit above the warehouse configuration and none of the objects that direct a pick is being asked them. This article names the three features… - [Why is one worker doing the pick, the put and the load?](https://cognilium.ai/blogs/work-templates-work-class-split-criteria) [Warehouse Methods]: Microsoft's own example work template has four lines — pick, put to staging, pick from staging, put to the truck. They land on one worker because they share… - [Business events give you no ordering guarantee. What do you build instead?](https://cognilium.ai/blogs/business-events-no-ordering-guarantee) [ERP Write-Back & Integration]: Microsoft states it under a heading called Limitations - the order in which Finance and Operations emits business events isn't guaranteed to preserve the… - [Is BYOD retired?](https://cognilium.ai/blogs/byod-is-not-retired) [ERP Write-Back & Integration]: Microsoft's transition FAQ answers this under its own heading, on a page revised in July 2026 — a retirement date for BYOD hasn't been determined, and… - [Why do your data events never fire for some entities?](https://cognilium.ai/blogs/data-events-never-fire) [ERP Write-Back & Integration]: Microsoft names the class exactly - when a data entity uses a view as its primary data source, data events don't trigger. Not all views, not all entities -… - [What does dual-write actually cost you in transaction budget?](https://cognilium.ai/blogs/dual-write-transaction-budget) [ERP Write-Back & Integration]: A budget with three published lines. Microsoft states a two-minute transaction time limit that includes the time to process standard and custom Dataverse… - [What can't Dynamics 365 do natively for EDI?](https://cognilium.ai/blogs/dynamics-365-edi-native-gaps) [ERP Write-Back & Integration]: Finance and Operations publishes a substantial electronic-document capability — a configurable format engine, an electronic invoicing service, inbound and… - [Microsoft names six Dynamics 365 integration patterns. Which for which job?](https://cognilium.ai/blogs/dynamics-365-integration-pattern-comparison) [ERP Write-Back & Integration]: Six patterns for moving data in and out of Dynamics 365, what each one costs in latency and coupling, and which job each is actually built for. - [Your optimizer is only as good as its write path. How should it read and write Dynamics 365?](https://cognilium.ai/blogs/dynamics-365-optimizer-write-path) [ERP Write-Back & Integration]: Microsoft's integration overview for finance and operations apps publishes six integration patterns, and two of those six rows are containers holding several… - [Which Dynamics 365 service protection limits are actually enforced?](https://cognilium.ai/blogs/dynamics-365-service-protection-limits) [ERP Write-Back & Integration]: The three limits Dataverse actually enforces per user per server, what happens when you cross one, and why a retry loop makes it worse. - [Fabric link or Synapse Link — which analytics path for Dynamics 365 data?](https://cognilium.ai/blogs/fabric-link-vs-synapse-link) [ERP Write-Back & Integration]: Two ways to get Dynamics 365 data out for analytics, and Microsoft is retiring one path. What each costs you in latency, shape and future work. - [How do you move a million rows into Dynamics 365 without breaking it?](https://cognilium.ai/blogs/move-a-million-rows-into-dynamics-365) [ERP Write-Back & Integration]: The answer is the Data management framework's package REST API, in batch — and the value is four operational facts the call itself never tells you: the caller… - [Why does your OData integration slow down at a few thousand records an hour?](https://cognilium.ai/blogs/odata-throughput-dynamics-365) [ERP Write-Back & Integration]: Microsoft's own integration sizing examples put OData at a peak data volume measured in records per hour, and the batch data API examples two orders of… - [Why do recurring integrations create duplicate documents?](https://cognilium.ai/blogs/recurring-integrations-duplicate-documents) [ERP Write-Back & Integration]: A duplicated document from a recurring integration is a redelivery, not a lost message. Microsoft documents that an unacknowledged message becomes available… - [Did the Synapse trusted-services firewall exception retire on 1 August 2026?](https://cognilium.ai/blogs/synapse-trusted-services-firewall-retirement) [ERP Write-Back & Integration]: The retirement was dated 1 August 2026. On the day, Microsoft's transition FAQ still states it in the future tense on a page revised in July, while a… - [Why are virtual tables fast in the demo and slow in production?](https://cognilium.ai/blogs/virtual-tables-production-latency) [ERP Write-Back & Integration]: Because a demo has one entity, few rows and co-located environments, and production has none of those. Across the virtual entities overview, the virtual… - [AL or X++ — what building on each ERP actually commits you to](https://cognilium.ai/blogs/al-vs-x-plus-plus-extension-model) [D365 Platform Decisions]: Two languages, two extension models and two separate Microsoft Marketplace offer types. Finance & Operations bans overlayering outright and Business Central… - [Business Central or F&O — the update cadence, and what each costs you in change management](https://cognilium.ai/blogs/business-central-vs-fno-update-cadence) [D365 Platform Decisions]: Both Dynamics 365 ERPs update twice a year in April and October, and almost nothing else about their cadences matches. Business Central gives the admin a… - [Is DDMRP in Dynamics 365 actually free?](https://cognilium.ai/blogs/ddmrp-dynamics-365-cost) [Demand & Replenishment]: A qualified yes. Microsoft states Supply Chain Management "includes DDMRP with no additional license fees" — but DDMRP requires the Planning Optimization… - [Time fence or time freeze — which one is deleting your planners' work?](https://cognilium.ai/blogs/demand-planning-time-fence-vs-time-freeze) [Demand & Replenishment]: Two features in the Dynamics 365 demand planning app have near-identical names and opposite jobs. A time fence stops people editing a forecast. A time freeze… - [Demand planning app or master planning — where does the forecast actually live?](https://cognilium.ai/blogs/demand-planning-vs-master-planning-forecast) [Demand & Replenishment]: Neither one owns it. The demand planning app calculates the forecast, master planning consumes it, and the object of record between them is a forecast model… - [Business Central or Finance & Operations — which Dynamics 365 ERP, and what does the choice actually decide?](https://cognilium.ai/blogs/dynamics-365-business-central-vs-finance-operations) [D365 Platform Decisions]: Dynamics 365 is an umbrella over two different ERPs with two different admin planes. Choosing between Business Central and finance and operations apps sets… - [The 2026 capacity model — what changed, and what happens on overage?](https://cognilium.ai/blogs/dynamics-365-capacity-model-overage) [D365 Platform Decisions]: Dataverse and Operations storage became one pooled entitlement in December 2025. Here is what the published entitlements are now, and the four different… - [Requirement, Period, Min/Max or Decoupling point — which coverage code for which item?](https://cognilium.ai/blogs/dynamics-365-coverage-code-comparison) [Demand & Replenishment]: Microsoft's coverage settings page lists six coverage codes, not four — Manual, Per requirement, Per period, Min/Max, Priority and Decoupling point — and… - [What is on the Dynamics 365 deprecation calendar, and what breaks on each date?](https://cognilium.ai/blogs/dynamics-365-deprecation-calendar) [D365 Platform Decisions]: A dated list of what Microsoft has published as retiring across Dynamics 365, with each date quoted in Microsoft's own sentence and each row carrying its URL… - [Which Dynamics 365 environment tiers do you actually need?](https://cognilium.ai/blogs/dynamics-365-environment-tiers) [D365 Platform Decisions]: Microsoft's standard cloud offer for finance and operations apps includes two environments — one production instance and one Tier-2 Standard Acceptance… - [Should master planning use finite or infinite capacity?](https://cognilium.ai/blogs/dynamics-365-finite-infinite-capacity) [Demand & Replenishment]: Infinite everywhere, finite on the constraint, and the capacity time fence as the control in between. Turning finite capacity on globally on day one fails for… - [Why does the go-live assessment gate projects nobody scheduled for?](https://cognilium.ai/blogs/dynamics-365-go-live-assessment) [D365 Platform Decisions]: The Go-live Readiness Review is a Microsoft-side gate on your production environment, not a milestone your programme plan owns — and Microsoft's own pages… - [What does a Dynamics 365 quote actually cost — base, attach and the minimums?](https://cognilium.ai/blogs/dynamics-365-licensing-base-attach-minimums) [D365 Platform Decisions]: Microsoft publishes the app prices and the attach prices, but not the two user-licence prices most quotes actually turn on. Base plus attach, the seat… - [Dynamics 365 runs your MRP. Why is your inventory still wrong?](https://cognilium.ai/blogs/dynamics-365-mrp-inventory-still-wrong) [Demand & Replenishment]: Master planning in Dynamics 365 is a calculation, not a decision. Microsoft ships the engine and leaves four replenishment-policy choices to you — coverage… - [There is no S&OP module in Dynamics 365 — so what do you build?](https://cognilium.ai/blogs/dynamics-365-no-sop-module) [Demand & Replenishment]: Dynamics 365 Supply Chain Management documents no feature area called sales and operations planning. It supplies the demand engine, the supply engine and the… - [If you run Dynamics 365 SCM on-premises, do you have a supported MRP engine?](https://cognilium.ai/blogs/dynamics-365-on-premises-mrp-engine-support) [Demand & Replenishment]: You have a running master planning engine on-premises, and it is the deprecated one — Planning Optimization does not support on-premises deployments. What… - [What does One Version actually guarantee, and what does it not?](https://cognilium.ai/blogs/dynamics-365-one-version-guarantees) [D365 Platform Decisions]: One Version commits Microsoft to four service updates a year, a floor of two, one pause, and a backward-compatibility promise covering binary and functional… - [Which Dynamics 365 regions can you actually deploy into?](https://cognilium.ai/blogs/dynamics-365-regional-availability) [D365 Platform Decisions]: Microsoft publishes the list of Azure regions where finance and operations apps run, and it is current as of 23 July 2026. The list is the easy part. Three… - [What does "keeping current" mean when there are three release trains?](https://cognilium.ai/blogs/dynamics-365-three-release-trains) [D365 Platform Decisions]: On a Supply Chain Management estate, "are we up to date" has three separate answers — the service update (10.0.48), the Planning Optimization Add-in, and the… - [Which forecast algorithm should you use for intermittent demand?](https://cognilium.ai/blogs/forecast-algorithm-intermittent-demand) [Demand & Replenishment]: In the Dynamics 365 demand planning app you do not pick an algorithm for intermittent demand. Croston's method is not selectable — it is a fallback the best… - [Why does your plan look right in month three and absurd in month one?](https://cognilium.ai/blogs/forecast-double-counting-dynamics-365) [Demand & Replenishment]: The near month is wrong because the forecast is not being consumed by the orders that arrived against it, so master planning covers the forecast and the… - [Is "Dynamics 365" one product?](https://cognilium.ai/blogs/is-dynamics-365-one-product) [D365 Platform Decisions]: No. Microsoft describes Dynamics 365 as a set of applications you choose one, some, or all of. The useful part is what the umbrella contains — two ERPs, a… - [LCS is going away — what breaks when you move to the Power Platform admin center?](https://cognilium.ai/blogs/lcs-to-power-platform-admin-center-migration) [D365 Platform Decisions]: Microsoft's deprecation register states that Lifecycle Services is being replaced by the Power Platform admin center. New project creation froze on 16… - [Why does your MRP produce twelve thousand action messages?](https://cognilium.ai/blogs/mrp-action-message-triage) [Demand & Replenishment]: Because the volume is an output of your coverage configuration, not a measurement of how wrong the plan is. Four settings decide the count, and Microsoft… - [Why does auto-firming fire at the wrong time under Planning Optimization?](https://cognilium.ai/blogs/planning-optimization-auto-firming-start-date) [Demand & Replenishment]: Because Planning Optimization fires auto-firming on the order date — the start date — while the deprecated engine fired on the requirement date, the end date.… - [What can Planning Optimization actually not do in 2026?](https://cognilium.ai/blogs/planning-optimization-limitations-2026) [Demand & Replenishment]: Microsoft's fit-analysis page currently marks three rows as Future wave — sales line reservation using explosion, intercompany planning execution, and… - [How does a third-party app read and write Dynamics data without touching the ERP core?](https://cognilium.ai/blogs/read-write-dynamics-data-without-touching-erp-core) [D365 Platform Decisions]: Through the surfaces each ERP publishes for exactly that purpose — and the two ERPs under the Dynamics 365 umbrella publish different ones. Business Central… - [Why is your supplier OTIF ninety-eight percent when deliveries are late?](https://cognilium.ai/blogs/supplier-otif-first-confirmed-date) [Demand & Replenishment]: Because you are measuring against the last confirmed date, and the vendor moved it three times. Dynamics 365 stores one confirmed date per line and overwrites… - [Seven Azure reference architectures for AI on Dynamics 365 — and the eighth we refused to draw](https://cognilium.ai/blogs/azure-ai-reference-architectures-d365) [D365 Platform Decisions]: Seven reference architectures for AI that optimizes decisions on Dynamics 365 — the Azure services, the D365 read and write surfaces, the cost shape, and… - [Can an AI agent in Dynamics 365 give itself more permissions?](https://cognilium.ai/blogs/can-an-erp-agent-escalate-its-own-permissions) [Copilot Boundary]: No — not through the administration forms. The Dynamics 365 ERP MCP server (generally available 27 January 2026) excludes the security, user, Microsoft Entra… - [In-app Copilot sidecar or a Copilot Studio MCP agent — which one, for what?](https://cognilium.ai/blogs/copilot-sidecar-vs-mcp-agent) [Copilot Boundary]: Two surfaces, two jobs — and one combination that is explicitly unsupported. Adding the ERP MCP server as a tool inside the in-app finance and operations… - [What does a Dynamics 365 ERP agent actually cost to run?](https://cognilium.ai/blogs/dynamics-365-ai-agent-running-costs) [Copilot Boundary]: Your ERP AI budget has three meters, not one — Copilot Credits, invoice capture transactions, and AI Builder credits whose seeded entitlement ends on 1… - [Do I need a Dynamics 365 licence for an AI agent's identity?](https://cognilium.ai/blogs/erp-agent-identity-licensing) [Copilot Boundary]: Currently not for the identity itself, when the agent is built in Copilot Studio or reaches the ERP through the Dynamics 365 ERP MCP server. A security role… - [Why can't I see my ERP agent's permissions in Entra?](https://cognilium.ai/blogs/erp-agent-permissions-invisible-in-entra) [Copilot Boundary]: Microsoft's documentation says that today, custom connectors, MCP servers and REST API tools added to an agent do not add API permissions to the Entra Agent… - [Why is my ERP agent answering with yesterday's numbers?](https://cognilium.ai/blogs/erp-agent-stale-data-12-hour-rule) [Copilot Boundary]: Because it is reading the analytics surface, where Business performance analytics pre-transforms currently run twice daily and the pipeline behind them takes… - [Are Dynamics 365 ERP form tools just RPA with a new name?](https://cognilium.ai/blogs/erp-form-tools-are-not-rpa) [Copilot Boundary]: Form tools in the Dynamics 365 ERP MCP server look like screen automation and are not. They drive the application through server APIs against its view model,… - [How do I expose my own X++ business logic as an agent tool?](https://cognilium.ai/blogs/expose-x-plus-plus-logic-as-agent-tool) [Copilot Boundary]: Write an X++ class implementing ICustomAPI with the right attributes, wire an action menu item into a security role, and flush the cache. The descriptions you… - [MCP server, virtual entities or dual-write — how should an AI agent read Dynamics data?](https://cognilium.ai/blogs/how-should-an-ai-agent-read-dynamics-data) [Copilot Boundary]: Five supported paths, one decision tree. Choosing wrongly here is the most expensive mistake in an ERP AI project, and the choice turns on three questions —… - [What happens to my ERP agent on 1 October 2026?](https://cognilium.ai/blogs/static-erp-mcp-server-retirement) [Copilot Boundary]: Microsoft retires the original static Dynamics 365 ERP MCP server on 1 October 2026. Moving to the dynamic server is a rewrite rather than a port, because… - [What can't Copilot do in Dynamics 365 — and what do you build instead?](https://cognilium.ai/blogs/what-copilot-cannot-do-dynamics-365) [Copilot Boundary]: Copilot's boundary in Dynamics 365 is not a missing feature list. It is four engineering decisions — scope, data freshness, failure handling and cost — that… - [What can the Procurement Agent not do yet?](https://cognilium.ai/blogs/what-the-procurement-agent-cannot-do) [Copilot Boundary]: Microsoft publishes the list of supplier email scenarios the Procurement Agent cannot yet handle, and for a manufacturer the gaps are routine daily traffic —… - [Why did my ERP agent report success when the write actually failed?](https://cognilium.ai/blogs/why-erp-agents-report-false-success) [Copilot Boundary]: Two documented failure modes make a Dynamics 365 ERP agent lie to you — a row cap on form state whose only mitigation is an instruction, and a fallback… - [Demand & Inventory Optimizer — solution showcase (reference build)](https://cognilium.ai/blogs/demand-inventory-optimizer-showcase) [Demand & Replenishment]: Reference build, not a delivered engagement: how a safety-stock minimum typed at go-live quietly becomes the number driving both overstock and stockouts. - [Your safety stock is a number someone typed in 2019](https://cognilium.ai/blogs/safety-stock-last-mile) [Demand & Replenishment]: Safety stock in D365 is a static field the planning engine never recomputes. The mechanism behind the gap, and the read-only diagnostic that finds the leak. - [What Is Order Batching and When Does It Help?](https://cognilium.ai/blogs/order-batching) [Warehouse Pick Optimization]: Batching cuts travel by picking several orders in one pass. It also adds sortation work, and there is a point where the trade stops paying. - [Should You Optimize Slotting or Picker Routing First?](https://cognilium.ai/blogs/slotting-vs-routing) [Warehouse Pick Optimization]: Slotting or picker routing first? Slotting, almost always. Routing finds the shortest path through the stops an order gives you; slotting changes what those… - [What Is Cube-per-Order Index?](https://cognilium.ai/blogs/cube-per-order-index) [Warehouse Pick Optimization]: COI ranks an item by cube against its order frequency, and it decides which items earn the closest pick locations. What it gets right and where it fails. - [How Do You Measure Warehouse Travel Waste?](https://cognilium.ai/blogs/measure-warehouse-travel-waste) [Warehouse Pick Optimization]: Everyone quotes the same figure, that about half of picking is walking, and it traces to a single 1996 book. You do not need it. You measure your own building… - [Does Dynamics 365 Dynamic Item Placement Do Slotting?](https://cognilium.ai/blogs/dynamics-365-dynamic-item-placement-slotting) [Warehouse Pick Optimization]: Every sentence Microsoft wrote about dynamic item placement contains the word define. You define the preferred locations and the target quantities; the… - [Why Putting Your Fastest Movers Together Slows the Whole Line Down](https://cognilium.ai/blogs/warehouse-slotting-congestion) [Warehouse Pick Optimization]: A travel-distance optimiser assumes one picker on an empty floor. Real floors have many, and the exact items you were told to cluster are the ones that make… - [How Do You Know Your Warehouse Location Data Is Right?](https://cognilium.ai/blogs/warehouse-location-accuracy) [Warehouse Pick Optimization]: Every placement analysis compares where things are against where they should be. If the first half of that comparison is wrong, the analysis does not fail… - [What Data Do You Need for a Warehouse Slotting Analysis?](https://cognilium.ai/blogs/warehouse-slotting-data-requirements) [Warehouse Pick Optimization]: A slotting analysis needs five things. Four of them are easy. The fifth gets quietly stripped out of most exports, and when it goes, half of what the analysis… - [Should ABC Analysis Rank by Dollars or by Picks?](https://cognilium.ai/blogs/abc-analysis-dollars-vs-picks) [Warehouse Pick Optimization]: Most ABC analysis ranks items by dollar value, because that is the ERP's default report. For slotting, that is the wrong variable. You should rank by how… - [What Is Dynamics 365 Dynamic Item Placement?](https://cognilium.ai/blogs/d365-dynamic-item-placement) [Warehouse Pick Optimization]: Dynamic item placement is a Dynamics 365 feature described with words like 'optimal placement' and 'AI-driven.' Read both paragraphs of the documentation and… - [How Do Dynamics 365 Location Directives Work?](https://cognilium.ai/blogs/d365-location-directives) [Warehouse Pick Optimization]: Location directives are the rules that steer where Dynamics 365 directs warehouse work. There are eleven strategies. None of them is based on travel distance.… - [Does Dynamics 365 Spatial Location Do Slotting?](https://cognilium.ai/blogs/does-spatial-location-do-slotting) [Warehouse Pick Optimization]: Dynamics 365 warehouse spatial location adds X, Y, Z coordinates and can sequence picking by travel distance. That is real, and it is routing, not slotting.… - [What Is in Dynamics 365 2026 Release Wave 1 for Warehouse Management? The Full List](https://cognilium.ai/blogs/dynamics-365-2026-wave-1-warehouse-management) [Warehouse Pick Optimization]: Every one of the eight warehouse management features in the D365 2026 wave 1 plan, read off the Release Planner with both paragraphs, its dates and its change… - [How Do You Export Order Lines From Dynamics 365 for Slotting Analysis?](https://cognilium.ai/blogs/exporting-order-lines-from-d365) [Warehouse Pick Optimization]: Slotting analysis needs two things from Dynamics 365: ninety days of order lines and a location list. Both are standard exports. Here is what you need and how… - [Why Slotting Savings Must Be Shown Net of Replenishment](https://cognilium.ai/blogs/net-of-restock) [Warehouse Pick Optimization]: Every item you move closer to packing is an item you now replenish more often, and a restock costs more than a pick. Any slotting savings that ignore… - [Where Does the '50% of Picking Time Is Travel' Statistic Actually Come From?](https://cognilium.ai/blogs/travel-statistic-provenance) [Warehouse Pick Optimization]: The most-quoted number in warehousing is that travel is half of a picker's time. It is not from a study. It traces to a self-published 1996 consultant book.… - [What Is Warehouse Slotting, and Should You Fix It Before Routing?](https://cognilium.ai/blogs/what-is-warehouse-slotting) [Warehouse Pick Optimization]: Slotting decides which location each product occupies. Routing shortens a trip; slotting removes it. Which one wins depends on your lines per order. The… - [Who Can Help With Pick Optimization in Dynamics 365?](https://cognilium.ai/blogs/who-can-help-dynamics-365-slotting) [Warehouse Pick Optimization]: If you run warehouses on Dynamics 365 and your pickers walk too far, here is who actually solves this, what to look for, and the questions that separate real… - [Can Dynamics 365 Optimize Inventory Placement? What Warehouse Slotting Actually Reads](https://cognilium.ai/blogs/can-dynamics-365-optimize-inventory-placement): Dynamics 365 executes a placement policy reliably but does not derive one. Its Warehouse slotting feature consolidates demand from open orders, not shipment… - [Warehouse Pickup Optimization: The Operator's Guide (2026)](https://cognilium.ai/blogs/warehouse-pickup-optimization-guide) [Warehouse Pick Optimization]: Pick optimization is five layers, and most warehouses fix the last one first. Why slotting beats routing, why location accuracy gates everything, plus the ROI… - [You Cannot Retrieve Your Way Out of a Bad Graph](https://cognilium.ai/blogs/knowledge-graph-construction) [Enterprise GraphRAG & Knowledge Systems]: A team comes to us with a GraphRAG system that gives wrong answers, and they have spent three weeks on retrieval. It will not help. The retrieval is fine. The… - [You Built a Line When the Work Was a Graph](https://cognilium.ai/blogs/multi-agent-latency) [Multi-Agent Systems in Production]: You made the run cheap and safe. It is still slow, and not because any one agent is slow. Your latency is not the sum of your agents. It is the longest path… - [There Is No Such Thing as a Local Change](https://cognilium.ai/blogs/multi-agent-change-management) [Multi-Agent Systems in Production]: You made a run cheap. Now try to change it. In a multi-agent system there is no such thing as a local change, because every agent output is the next agent… - [You Pay for the Same Context Fourteen Times](https://cognilium.ai/blogs/multi-agent-cost-optimization) [Multi-Agent Systems in Production]: You made a run reliable and secure. Now look at what it costs. A single model call has an obvious, fixed cost, paid once. A multi-agent run is dominated by… - [Your Retry Just Sent the Email Twice](https://cognilium.ai/blogs/multi-agent-reliability) [Multi-Agent Systems in Production]: You secured the tool boundary against an attacker. Now the tool fails on its own, with no attacker in sight: a model call times out halfway through the run, a… - [One Poisoned Agent Poisons the Chain](https://cognilium.ai/blogs/multi-agent-security-trust-boundaries) [Multi-Agent Systems in Production]: You gave the agents brakes, then instruments. Neither stops a poisoned document from turning the pipeline against you. A single model call has one trust… - [Your Multi-Agent System Is a Black Box](https://cognilium.ai/blogs/multi-agent-observability) [Multi-Agent Systems in Production]: You gave the agents brakes in the last chapter. Brakes stop a runaway, but they do not tell you which agent is dragging, what a run costs, or why last night's… - [Your Multi-Agent System Has No Brakes](https://cognilium.ai/blogs/multi-agent-control-termination) [Multi-Agent Systems in Production]: A multi-agent system with no termination condition does not fail, it spends. The stopping criteria that actually hold, and the ones that only look like limits. - [Your Agents Don't Share a Brain. They Pass Notes.](https://cognilium.ai/blogs/multi-agent-context-handoffs) [Multi-Agent Systems in Production]: You wired the agents, and you learned the failures live in the seams between them. This chapter names the seam: it is the hand-off. When one agent finishes… - [When a Multi-Agent System Fails, Which Agent Broke?](https://cognilium.ai/blogs/evaluating-multi-agent-systems) [Multi-Agent Systems in Production]: You decided to use multiple agents, and you wired them. Now the system gives a confident wrong answer and hands you no stack trace, and the hardest production… - [Four Ways to Wire a Multi-Agent System (and When Each One Breaks)](https://cognilium.ai/blogs/multi-agent-architecture-patterns) [Multi-Agent Systems in Production]: You settled the question of whether to use multiple agents. Now comes the choice that matters more than the head count: how to wire them. There are four… - [Most Multi-Agent Systems Would Work Better as One Agent](https://cognilium.ai/blogs/multi-agent-vs-single-agent) [Multi-Agent Systems in Production]: A team splits its working agent into a planner, three researchers, a critic, and a synthesizer. Latency triples, the bill jumps tenfold, and the researchers… - [Your Agent's Memory Benchmark Is Measuring the Wrong Thing](https://cognilium.ai/blogs/evaluating-agent-memory) [Agent Memory & Context Graphs]: You shortlisted a memory system by its leaderboard rank, shipped it, and it forgets in production. The public benchmarks cannot tell you which system will… - [An Agent That Saves Everything Remembers Nothing](https://cognilium.ai/blogs/agent-memory-consolidation) [Agent Memory & Context Graphs]: Storing everything is not a memory. An agent that saves every turn drowns in stale, contradictory facts and pays to retrieve noise, while the one detail that… - [Why a Bigger Context Window Won't Save Your Agent](https://cognilium.ai/blogs/agent-working-memory-context-window) [Agent Memory & Context Graphs]: A bigger context window does not give your agent a memory. The window is a cache: finite, expensive, and used less reliably as it fills, so a long session… - [Why Your Agent Retrieves the Wrong Memory](https://cognilium.ai/blogs/agent-memory-retrieval-ranking) [Agent Memory & Context Graphs]: Your agent’s memory store is probably fine. Its retrieval is the bug. Top-k by similarity is a lookup; production memory retrieval is a ranking problem. How… - [Mem0 vs Graphiti vs Building Your Own Graph](https://cognilium.ai/blogs/mem0-vs-graphiti-agent-memory) [Agent Memory & Context Graphs]: Graphiti models memory as a temporal graph; Mem0 extracts and stores facts. The difference shows up in what each one can answer months later. - [Why Your AI Agent Keeps Forgetting](https://cognilium.ai/blogs/agent-memory-why-agents-forget) [Agent Memory & Context Graphs]: Your agent does not have a memory problem. It has a memory architecture problem. The four kinds of agent memory, where each one lives, and why a context… - [The 20-Minute Knowledge Graph Health Check](https://cognilium.ai/blogs/knowledge-graph-health-check) [Graph Rot & Knowledge Graph Quality]: The whole Graph Rot series in one runnable checklist: seven questions to ask your own knowledge graph, in about twenty minutes, to find the rot before your… - [What 23 Agents Taught Us About Knowledge Graphs](https://cognilium.ai/blogs/agent-orchestration-vs-knowledge-graph) [Graph Rot & Knowledge Graph Quality]: We built a 23-agent contract-review system and deliberately gave it no knowledge graph. From a team that ships both: how to tell an orchestration graph from a… - [Do You Actually Need a Knowledge Graph?](https://cognilium.ai/blogs/do-you-need-a-knowledge-graph) [Graph Rot & Knowledge Graph Quality]: Most teams build a knowledge graph they do not need, or skip the one they do. From a team that has shipped both: when a vector database is enough, when you… - [Keeping a Knowledge Graph Fresh Without Rebuilding It](https://cognilium.ai/blogs/keeping-knowledge-graph-fresh-incremental-updates) [Graph Rot & Knowledge Graph Quality]: Most teams rebuild a knowledge graph or append to it blindly. Both rot it. How to keep a graph current with incremental updates that re-check only what changed. - [How We Score a Knowledge Graph Before We Trust It](https://cognilium.ai/blogs/scoring-knowledge-graph-before-agents) [Graph Rot & Knowledge Graph Quality]: Most teams ship a knowledge graph when it looks done. We ship it when it passes a score. How we grade a graph before any agent is allowed to query it. - [The Edge That Shouldn't Exist: Detecting Wrong Relationships in a Knowledge Graph](https://cognilium.ai/blogs/mislink-detection-knowledge-graph) [Graph Rot & Knowledge Graph Quality]: A mislink is an edge between two real nodes that no document supports. How we detect wrong relationships in a production knowledge graph. - [One Company, Eleven Names: How a Knowledge Graph Learns Identity](https://cognilium.ai/blogs/entity-resolution-knowledge-graph) [Graph Rot & Knowledge Graph Quality]: Extraction gives you names. Entity resolution decides identity. How we taught a family-office knowledge graph to tell one company from its eleven aliases. - [Graph Rot: Why Your Knowledge Graph Is Lying to Your AI](https://cognilium.ai/blogs/graph-rot-knowledge-graph-quality) [Graph Rot & Knowledge Graph Quality]: Graph rot is the silent decay of a knowledge graph's correctness. The 7 ways production graphs go bad, from an engineering team that builds them. - [The 8-Stage Document Intelligence Pipeline](https://cognilium.ai/blogs/8-stage-docint-pipeline) [Enterprise Document AI]: Parse, classify, evidence-map, extract, validate, score, graph, link. The eight-stage pipeline for legal/financial document AI. - [Surviving Partial Failure in a 3,300-Call Agent Pipeline](https://cognilium.ai/blogs/agent-pipeline-failure-recovery-dynamodb-sqs) [AWS & Google Agent Frameworks]: Two-tier retries, atomic DynamoDB chunk claims, and checkpoint-based cancellation — the failure-recovery layer that lets a multi-agent contract review… - [Anti-Hallucination via Runtime Grounding Against a Domain Vocabulary](https://cognilium.ai/blogs/anti-hallucination-domain-vocabulary-grounding) [Enterprise GraphRAG & Knowledge Systems]: A startup-loaded domain vocabulary the generator must match against, plus framework rules baked into every prompt — a low-cost pattern that catches… - [Bias-Detection Alerts on a 4-Agent Candidate Evaluation Pipeline](https://cognilium.ai/blogs/bias-detection-multi-agent-evaluation) [Production LLMOps & Evaluation]: A four-agent hiring pipeline is a regulated decision system. Continuous monitoring with alerts at the four-fifths-rule disparity-impact threshold. - [Gemini-Driven Entity Disambiguation With Post-Creation Mislink Detection](https://cognilium.ai/blogs/gemini-entity-disambiguation-mislink-detection) [Enterprise Document AI]: Auto-merging "Acme Corp" with "Acme Corporation" is the easy half. Catching merges that should not have happened is what a high-precision pass earns. - [Supervisor-Router on Google ADK with Per-Org Tool Registration](https://cognilium.ai/blogs/google-adk-supervisor-multi-tenant-tool-registration) [AWS & Google Agent Frameworks]: Building a multi-tenant agent platform on Google ADK where the supervisor binds only the tools each org has paid for and integrated — without forking the… - [Hybrid Retrieval With Prefetch-Time Metadata Filtering](https://cognilium.ai/blogs/hybrid-retrieval-prefetch-metadata-filtering) [Enterprise GraphRAG & Knowledge Systems]: Why filtering after RRF fusion loses the right chunks, and how a "drop trait → mode → grade" progressive relaxation ladder keeps narrow queries answerable… - [LLM-as-Judge With Temperature-Escalation Retry Inside a 60-Second Budget](https://cognilium.ai/blogs/llm-judge-temperature-escalation-retry) [Production LLMOps & Evaluation]: Judge scores below 85? Retry with temperature 0.3, 0.4, 0.5 — three attempts inside a 60-second wall-clock budget. The simple loop that hits 99.5% on-spec… - [Organizational Memory: RAG Across Slack, Confluence, and Loom](https://cognilium.ai/blogs/organizational-memory-rag-slack-confluence-loom) [Enterprise GraphRAG & Knowledge Systems]: A single retrieval surface over Slack, Confluence, Loom, and meeting transcripts — with cross-source ranking and source attribution that survives ingestion. - [The Production LLMOps Stack: Evals, Judges, Retries, Circuit Breakers](https://cognilium.ai/blogs/production-llmops-stack) [Production LLMOps & Evaluation]: The day-2 ops layer of an LLM product — what to evaluate, what to judge in real time, what to retry, and when to fail closed. The components that turn a… - [Sentiment-Driven Escalation in a 22-Language Voice Support Agent](https://cognilium.ai/blogs/sentiment-escalation-22-language-voice-support) [Enterprise Voice AI]: Real-time sentiment scoring drives the human handoff; full conversation context, transcript, and detected intent travel with it. Resolution starts immediately. - [Smart Category Routing for Contract Review](https://cognilium.ai/blogs/smart-category-routing-contract-review) [Legal Contract Review]: A focused application of the LLMOps routing pattern to legal contract analysis — the analyst-selection logic that ships fewer clauses to fewer agents and… - [Smart Category-Score Routing That Cuts LLM Cost ~75%](https://cognilium.ai/blogs/smart-category-score-routing-cost) [Production LLMOps & Evaluation]: A pipeline of 12 scorers + 11 analysts does not need to fan out everywhere. Route each chunk to matching analysts and save three quarters of the LLM bill. - [When to Mix SQS FIFO and Standard Queues in an Agent Pipeline](https://cognilium.ai/blogs/sqs-fifo-vs-standard-agent-pipeline-design) [AWS & Google Agent Frameworks]: FIFO for chunk ordering, Standard for parallel analysis fan-out. Why a single queue type for the whole pipeline is the wrong default, with the dead-letter and… - [Designing a Non-Scripted Voice Interview Agent on Ultravox](https://cognilium.ai/blogs/ultravox-non-scripted-voice-interview-agent) [Enterprise Voice AI]: Voice screening that adapts to the candidate instead of reading a script — follow-ups, multi-language, and prompt structure. - [Voice AI Latency Budget Deep Dive: Where the 1.5 Seconds Goes](https://cognilium.ai/blogs/voice-ai-latency-budget-deep-dive) [Enterprise Voice AI]: A line-by-line breakdown of the sub-1.5-second p95 latency budget — VAD, streaming STT, first-token LLM, streaming TTS, network — and the optimizations that… - [Zero-Trust Multi-Tenant Firestore: Middleware, Claims, and 60+ Wildcard Permissions](https://cognilium.ai/blogs/zero-trust-multi-tenant-firestore) [Enterprise Document AI]: Hard tenant isolation on Firestore: middleware, immutable claims, wildcard permissions. The architecture that makes leakage structurally impossible. - [Enterprise Voice AI: Real Latency, Real Compliance, Real Money](https://cognilium.ai/blogs/enterprise-voice-ai-guide) [Enterprise Voice AI]: Sub-1.5s p95 voice AI on Twilio + ElevenLabs + Whisper, designed for HIPAA and SOC2. The decisions that mattered, and the ones we got wrong twice. - [Multi-Agent Orchestration on AWS Bedrock AgentCore](https://cognilium.ai/blogs/multi-agent-orchestration-aws) [AWS & Google Agent Frameworks]: The supervisor + specialist pattern is the most reliable way to ship multi-agent systems on AWS — here is how to wire it, observe it, and bound its cost. - [RAG vs GraphRAG: When the Vector Database Stops Being Enough](https://cognilium.ai/blogs/rag-vs-graphrag) [Enterprise GraphRAG & Knowledge Systems]: Plain vector RAG hits a ceiling around 100K documents. This is where graph-augmented retrieval becomes the right tool — and how to know if you need it. ## Tech News (53 posts) - [Salesforce Agentforce Adds 7 Named Agents and a Weeks-Long Runtime](https://cognilium.ai/tech-news/salesforce-agentforce-named-agents-long-horizon) [AI Industry]: Salesforce shipped 7 named Agentforce agents on 11 September, 6 generally available. The seventh runs on a new runtime that pursues a goal for weeks. - [OpenAI Agents Uploaded 2,000 Packages to RubyGems in Two Days](https://cognilium.ai/tech-news/openai-agents-rubygems-supply-chain) [AI Policy]: Researchers attribute a May 2026 RubyGems flood to OpenAI agents. The registry suspended sign-ups for 4 days. Attribution took about 130 days, from outsiders. - [Microsoft Plans 38 Gigawatts by 2032, More Than Tripling Its Capacity](https://cognilium.ai/tech-news/microsoft-38-gigawatts-2032-capacity) [AI Infrastructure]: Bloomberg reports Microsoft targeting 38 gigawatts by 2032, up from 12 today. AI-specific capacity goes from 2 GW to about a third of the total, a 6-fold rise. - [76% Think They Can Stop an AI Agent in 15 Minutes, 33% Have a Kill Switch](https://cognilium.ai/tech-news/ai-agent-control-gap-two-surveys) [AI Industry]: Harness asked 700 technology professionals: 76% believe they can disable an agent in 15 minutes, 33% have a kill switch. A second survey agrees. - [Only 23% Trust an AI With Their Money. 61% Trust Visa With the Same Payment.](https://cognilium.ai/tech-news/visa-trust-index-agentic-commerce) [AI Industry]: Visa's Trust Index finds 23% of US consumers trust GenAI with a payment and 61% trust Visa with the same one. AI experience moves only the second number. - [AI Agents Ran a Mass Credential Attack in Under 6 Hours, Google Says](https://cognilium.ai/tech-news/gtig-adversarial-agentic-ai-six-hours) [AI Policy]: Google's threat team watched an attacker plan, build and run a mass credential campaign in under 6 hours, the agent handling scanning and IP rotation itself. - [OpenAI's Agent Swarm and the EU Reporting Rule Everyone Is Quoting Wrong](https://cognilium.ai/tech-news/openai-agent-swarm-eu-incident-report) [AI Policy]: OpenAI filed an EU incident report over an agent swarm that ran for 2 months. The 15-day deadline being quoted sits in another article, for other systems. - [7,000 Forward-Deployed Engineers in 68 Days: The New Enterprise AI Model](https://cognilium.ai/tech-news/forward-deployed-engineers-enterprise-ai) [AI Industry]: Accenture and Google Cloud committed 1,000 forward-deployed engineers on 8 September, 68 days after Microsoft committed 6,000. The demand data explains why. - [Business Central Copilot Extensions Get Microsoft-Managed AI Resources](https://cognilium.ai/tech-news/business-central-managed-ai-resources-ga) [ERP]: Business Central's Microsoft-managed AI resources reached general availability after 15 months in preview. The billing moves onto the customer's credit meter. - [Three Cyber AI Models in 48 Hours, and None Is Generally Available](https://cognilium.ai/tech-news/frontier-cyber-models-access-gates-compared) [AI Policy]: Anthropic, Google and OpenAI each shipped a cyber-capable frontier model inside 48 hours. All 3 sit behind a vetting gate, and none has a self-serve path. - [Dynamics 365 Release Plans Are Retiring: What Replaces Them](https://cognilium.ai/tech-news/dynamics-365-release-plans-retiring) [ERP]: Microsoft stops publishing Dynamics 365 Release Plans in September 2026. Capabilities move to 1 always-on AI at Work roadmap, with 2 waves a year gone. - [EU AI Act and ERP Agents: Which Ones Count as High-Risk](https://cognilium.ai/tech-news/eu-ai-act-erp-agents-high-risk) [ERP]: Annex III names 8 high-risk categories. Most ERP agents miss all 8, but agents that allocate tasks or evaluate people land squarely inside category 4. - [Anthropic Enterprise Frontier Safeguards: Monitoring Without Retention](https://cognilium.ai/tech-news/anthropic-enterprise-frontier-safeguards) [Technology]: Anthropic shipped Enterprise Frontier Safeguards after consulting 100+ customers: 3 controls, monitoring with 0 Anthropic reviewers, at no charge. - [Dynamics 365 Procurement Agent: What It Costs Per Run](https://cognilium.ai/tech-news/dynamics-365-procurement-agent-cost-model) [ERP]: Microsoft's Procurement Agent charges Copilot Studio credits on 2 axes: a fixed cost per run, plus a variable cost driven by emails and attachments. - [ERP Agent Governance Compared: Microsoft, SAP, Workday, Oracle](https://cognilium.ai/tech-news/erp-agent-governance-compared-four-vendors) [ERP]: 4 ERP vendors shipped agent governance and picked 4 different control points. Compared against 5 questions, using only each vendor's own published wording. - [NetSuite Next Rollout: How to Tell If Your Account Is Eligible](https://cognilium.ai/tech-news/netsuite-next-phased-rollout-2026-2) [ERP]: NetSuite Next ships with release 2026.2 in phases, not all at once. Oracle says 2 things decide your date, and both appear inside your own account. - [Business Central v29 Removes SOAP Endpoints on Microsoft Pages](https://cognilium.ai/tech-news/business-central-soap-endpoint-removal-v29) [ERP]: Business Central v29.0 removes SOAP endpoints on Microsoft pages. Wave 2 opens October 2026, leaving 5 weeks to inventory what breaks. - [Dynamics 365 MCP Actions: What 650,000 Means for Agent Governance](https://cognilium.ai/tech-news/dynamics-365-mcp-actions-agent-governance) [ERP]: Dynamics 365 exposes 650,000 MCP actions to AI agents. On 5 August Microsoft shipped 2 control points: one scores the server, one judges each call. - [Dynamics 365 Finance Now Reconciles the Books With an Agent. The Month-End Close Is Becoming Continuous.](https://cognilium.ai/tech-news/dynamics-365-account-reconciliation-agent-continuous-close) [Enterprise Technology]: Microsoft's Account Reconciliation Agent, in production-ready preview for Dynamics 365 Finance, replaces the reactive, report-driven reconciliation with a… - [Infor Bundled Its Whole AI Story Into One Package. Velocity Suite Is a Bet That Industry-Specific Beats General.](https://cognilium.ai/tech-news/infor-velocity-suite-industry-ai-bundle) [Enterprise Technology]: Infor's Velocity Suite rolls industry AI agents, embedded GenAI, process mining, automations and implementation into a single all-inclusive package, with an… - [Meta Is Putting $1 Billion Toward the Towns Its Data Centers Land In. The AI Boom Has a Social-License Problem.](https://cognilium.ai/tech-news/meta-1b-data-center-community-fund-backlash) [Artificial Intelligence]: Meta's Future Is For Everyone Fund pledges a billion dollars to communities near its data centers, for schools, first responders and local programs. It… - [OpenAI Wants to Catch Misuse Without Reading Your Data. Private Safety Processing Is a Bid to End the Safety-vs-Privacy Tradeoff.](https://cognilium.ai/tech-news/openai-private-safety-processing-zero-data-retention) [Artificial Intelligence]: OpenAI previewed Private Safety Processing, a system to detect misuse across sessions without storing customer data or letting its staff see prompts and… - [The AI Buildout Is Now Running on Debt. Broadcom Is Reportedly Raising Up to $80 Billion, in the Biggest Private-Credit Deal Ever.](https://cognilium.ai/tech-news/broadcom-ai-chip-debt-financing-buildout) [Artificial Intelligence]: Broadcom is in talks to borrow well over $60 billion, by some accounts $70 to $80 billion, to finance chips for the AI buildout, in a deal that benefits… - [SAP Gave Its AI a Memory. Grounding Agents in What Your Company Knows Is the Fix for Agents That Guess.](https://cognilium.ai/tech-news/sap-company-memory-grounding-agents-context) [Enterprise Technology]: SAP's Company Memory, built on Signavio, is a context-graph layer that continuously learns your policies, processes and communications so agents act on what… - [The Frontier AI Race Is No Longer a Two-Horse Show. Five Labs Are Trading the Lead, and That Is the Best News for Everyone Not Building a Model.](https://cognilium.ai/tech-news/frontier-ai-race-five-way-fight-2026) [Artificial Intelligence]: With xAI's Grok and Meta clawing back into contention against OpenAI, Google and Anthropic, and new models shipping within the same week, the frontier has… - [Workday Is Building a System of Record for Your Agents. As the Bots Multiply, Someone Has to Keep the Register.](https://cognilium.ai/tech-news/workday-agent-system-of-record-gemini-enterprise) [Enterprise Technology]: Workday and Google Cloud put Workday's Agent System of Record together with Gemini Enterprise, so agents from Workday, Google and third parties can work HR… - [Dynamics 365 Now Opens to a Cockpit for Managing Your Agents. When the ERP Runs Itself, Your Job Is to Run the Agents.](https://cognilium.ai/tech-news/dynamics-365-immersive-home-agent-management) [Enterprise Technology]: Microsoft's Immersive Home, reaching general availability in the 2026 release wave, replaces the old Finance and Operations landing page with an AI-first home… - [Warp Just Turned Coding Agents Into an Assembly Line. The Job Shifts From Writing Code to Running the Factory.](https://cognilium.ai/tech-news/warp-factories-software-factory-coding-agents) [Artificial Intelligence]: Warp Factories, in closed beta since 18 August, runs fleets of coding agents through a repeatable pipeline, triage, spec, build, review, verify, with human… - [Google Just Opened Its First Office in Pakistan. After a Decade of Distance, the Platform Came to the Country.](https://cognilium.ai/tech-news/google-opens-first-office-pakistan-islamabad) [Technology]: On 18 August, Prime Minister Shehbaz Sharif inaugurated Google's first local office in Islamabad. Google is committing to investing in people, hardware… - [SAP Got Its AI Agents Certified and Built Them a Control Tower. The Agent Story Is Growing Up.](https://cognilium.ai/tech-news/sap-ai-agent-hub-iso-42001-agent-governance) [Enterprise Technology]: SAP earned ISO/IEC 42001, the first international standard for AI management systems, and is governing its Joule agents through an AI Agent Hub that sets… - [Epicor Built AI Agents for One Industry at a Time. Vertical Beats Horizontal, Until You Reach Your Own Four Walls.](https://cognilium.ai/tech-news/epicor-prism-vertical-ai-agents-erp) [Enterprise Technology]: Epicor Prism is a stack of vertical AI agents that take action inside manufacturing and distribution ERPs, an agent framework (Lux), a low-code Agent Foundry,… - [IBM Just Bet Its Consulting Arm on OpenAI. The Model Is the Easy Part. Getting It Into Your Business Is the Business.](https://cognilium.ai/tech-news/ibm-openai-enterprise-partnership-consulting) [Artificial Intelligence]: IBM and OpenAI announced a partnership to push GPT-5.6, Codex and ChatGPT Work deep into enterprises, and IBM will train tens of thousands of consultants to… - [Claude Now Signs Everything It Writes. Anthropic Is Watermarking AI Text, and the EU Made It Global.](https://cognilium.ai/tech-news/anthropic-claude-invisible-text-watermarks-c2pa) [Artificial Intelligence]: Anthropic has begun embedding invisible, machine-readable watermarks in text from new Claude models and attaching C2PA provenance to the files it makes. There… - [Oracle Put 600+ AI Agents in the Box and Didn't Charge Extra. Every ERP Now Ships Agents. The Question Is What They Decide.](https://cognilium.ai/tech-news/oracle-fusion-600-agents-supply-chain-erp) [Enterprise Technology]: Oracle's Fusion Cloud now embeds more than 600 AI agents across finance and supply chain, included in the standard subscription, with new supply-chain apps… - [Business Central Now Ships With Agents That Do the Books. Note the Verb: They Automate. They Don't Optimize.](https://cognilium.ai/tech-news/business-central-2026-wave1-built-in-ai-agents) [Enterprise Technology]: Dynamics 365 Business Central's 2026 wave 1 puts autonomous agents in the box, a Payables Agent that clears invoices end to end, a Sales Order Agent that keys… - [A Startup That Builds Software From Plain English Just Raised $400M at $13.3B. The Building Is Getting Cheap. The Deciding Is Not.](https://cognilium.ai/tech-news/lovable-400m-vibe-coding-software-from-words) [Artificial Intelligence]: Sweden's Lovable doubled its valuation in eight months on the back of vibe coding, describe an app in words, get working software. Revenue is racing toward a… - [The Bottleneck Isn't Algorithms Anymore. It's Power and Buildings, So Anthropic Is Financing Data Centers Like Toll Roads.](https://cognilium.ai/tech-news/anthropic-theseus-ai-data-center-infrastructure) [Artificial Intelligence]: Anthropic, Macquarie and Singapore's GIC have formed Theseus Infrastructure to develop, own and lease data centers built just for Anthropic. The labs are… - [Microsoft Just Put Pick-Route Optimization Inside Dynamics 365. The ERPs Are Coming for the Warehouse Floor.](https://cognilium.ai/tech-news/dynamics-365-warehouse-pick-route-optimization-wave1) [Enterprise Technology]: Dynamics 365's 2026 wave 1 adds advanced picking-route optimisation, AI-driven inventory rebalancing and hands-free scanning to Supply Chain Management, plus… - [Meta Just Open-Sourced a 30B Agent That Runs on One Consumer GPU, No Internet Required. The Center of Gravity Is Moving Local.](https://cognilium.ai/tech-news/meta-muse-glimmer-open-30b-local-agent) [Artificial Intelligence]: Muse Glimmer is a capable, Apache-2.0 agent model from Meta that fits on a single 24GB GPU or a Mac and runs with no network call. It is fast, tuned for tool… - [SAP Is Putting Agents on the Warehouse Floor. They Validate Receipts, Staff to Workload, and Execute, With People Setting the Goals.](https://cognilium.ai/tech-news/sap-autonomous-supply-chain-warehouse-agents) [Enterprise Technology]: SAP's autonomous supply-chain push moves Joule agents from the conversation into execution: validating inbound receipts, matching labour to real workload, and… - [The People Who Built Google's AI Are Leaving to Build AI That Does the Research Itself. Meet Discovery Loop.](https://cognilium.ai/tech-news/google-ai-founders-leave-discovery-loop) [Artificial Intelligence]: Jeff Dean, Sanjay Ghemawat, Quoc Le and Oriol Vinyals, four of the names under Google's Search, Brain, Gemini and DeepMind, are leaving to found Discovery… - [NetSuite Just Put a Mind in the Middle of the ERP. Ask Oracle and Agentic Workflows Are Rolling Out Now.](https://cognilium.ai/tech-news/netsuite-next-ask-oracle-agentic-erp) [Enterprise Technology]: With release 2026.2, Oracle's NetSuite Next is reaching real customers: a natural-language assistant called Ask Oracle, an AI Canvas for scenario work, and… - [Microsoft's Warehouse Summary Promises Picking Route Optimization. The Feature Plan Lists Item Placement Instead.](https://cognilium.ai/tech-news/dynamics-365-warehouse-wave-1-item-placement-not-route-optimization) [Enterprise Software]: The 2026 release wave 1 overview for Dynamics 365 Supply Chain Management names three warehouse advances. Open the detailed feature plan and one of them is… - [Three Labs Just Admitted Their AI Agents Broke Into Real Systems During Safety Tests. The Cause Was Not Malice. It Was Permissions.](https://cognilium.ai/tech-news/ai-agents-breach-real-systems-safety-tests) [Artificial Intelligence]: OpenAI, Meta and Anthropic each disclosed that frontier models, while being tested, found and exploited real vulnerabilities and reached systems they were… - [The Agents Have Started Talking to Each Other. Microsoft Copilot and SAP Joule Can Now Hand Work Back and Forth Across Your ERP.](https://cognilium.ai/tech-news/copilot-joule-a2a-agents-across-erp) [Enterprise Technology]: At SAP Sapphire, Microsoft and SAP wired Microsoft 365 Copilot and SAP Joule together with agent-to-agent capabilities. A Copilot agent can pass a task to a… - [Dynamics 365's ERP Now Talks Back, and Writes Back. Copilot Cowork Is the New Front Door to Finance and Operations.](https://cognilium.ai/tech-news/dynamics-365-copilot-cowork-erp-front-door) [Enterprise Technology]: Microsoft has made the Dynamics 365 ERP apps plugin for Copilot Cowork generally available. An agent can read your finance and operations data in plain… - [The White House Just Drew a Border Around Frontier AI. Thirty Days, Sealed Rooms, and Scores No One Outside Can See.](https://cognilium.ai/tech-news/white-house-frontier-ai-cyber-testing-framework) [Artificial Intelligence]: A finalized but voluntary framework asks the biggest labs to hand the government up to 30 days of pre-release access to test whether a new model can run a… - [OpenAI's GPT-5.6 Comes in Three Tiers. Picking the Right One Is the New Skill.](https://cognilium.ai/tech-news/gpt-5-6-three-tiers-pick-the-right-model) [Artificial Intelligence]: Sol, Terra, and Luna are one family at three price points. The story is not raw capability. It is that choosing the cheapest model that still clears the bar… - [MCP Is Becoming the Front Door Into Dynamics 365. Connecting an Agent Was Never the Hard Part.](https://cognilium.ai/tech-news/mcp-dynamics-365-front-door-agents) [Enterprise Technology]: Microsoft made Model Context Protocol a first-class way for AI agents to reach Dynamics data. Sales got seven certified partners; Finance, Operations and… - [Claude Fable 5 Is Back Online: What Anthropic Changed, and the Jailbreak-Severity Framework Underneath](https://cognilium.ai/tech-news/claude-fable-5-back-online-what-changed) [LLM Releases]: Fable 5 is back after a 20-day suspension. The model weights did not change. What changed is a targeted classifier for one Amazon jailbreak technique, and a… - [Why AI Agents Join Data That Should Never Connect (And How to Stop It)](https://cognilium.ai/tech-news/ai-agents-silent-join-failure) [Agents]: The most dangerous AI agent failure is the silent join: retrieval that fuses two unrelated things into one confident, wrong answer. Here is how to stop it. - [Anthropic just shipped two new Claude models. The interesting one isn’t generally available.](https://cognilium.ai/tech-news/claude-fable-5-mythos-5-two-tier-release) [Research]: Anthropic shipped Claude Fable 5 (safeguards on) and Mythos 5 (safeguards lifted for partners) on June 9. $10/$50 per M tokens, vision SOTA claims. - [GraphRAG vs Flat-Vector RAG: Why 2026 Is the Year Graph Retrieval Graduates to Default](https://cognilium.ai/tech-news/graphrag-vs-flat-vector-rag-2026-default) [Research]: GraphRAG has crossed from demo to production default for relationship-heavy enterprise knowledge work. The engineering case for 2026. ## Key Pages - [Homepage](https://cognilium.ai/): Company overview and services - [Dynamics 365 Optimizers](https://cognilium.ai/dynamics-365/optimizers): The optimization app family — the company's primary track - [Agentic ERP](https://cognilium.ai/agentic-erp): What agentic ERP means: agents that read, write and act inside Dynamics 365 - [Legal AI Ops for Dynamics 365 and SAP](https://cognilium.ai/solutions/legal-ai-ops): The Legal AI Ops category: contract review, obligation extraction and renewal intelligence built into Dynamics 365, SAP and modern ERP platforms - [Agentic AI & Multi-Agent Systems](https://cognilium.ai/services/ai-agents): What agentic AI is, the ten ways multi-agent systems break in production, and the guardrails that hold - [Fabric Data Foundation](https://cognilium.ai/dynamics-365/fabric-data-foundation): A Fabric-enabled, AI-ready data strategy for Dynamics 365 F&SCM and Business Central: the decision, and what it commits you to - [Dynamics 365 MCP Server](https://cognilium.ai/dynamics-365/mcp-server): Business Central ships an MCP server built in: what it gives an agent, and what still has to be computed beside the ERP - [Dynamics 365 Integration](https://cognilium.ai/dynamics-365/integration): Six patterns, and the four limits that decide the design: service protection, OData throughput, event ordering, redelivery - [Dynamics 365 AI Consulting & Custom Builds](https://cognilium.ai/dynamics-365/consulting): The AI-first Dynamics 365 consulting and custom app practice: implementation, extension, custom Power Apps, the Fabric data layer and support after go-live - [Quote Rabbit](https://cognilium.ai/dynamics-365/quote-rabbit): Quoting for Business Central distributors — a messy request becomes a reviewed, sent quote - [Warehouse Pick Optimization](https://cognilium.ai/pick-optimization): What Dynamics 365 Warehouse slotting does, and what it leaves to you - [About](https://cognilium.ai/about): Company story, team, values - [Services](https://cognilium.ai/services): All AI engineering services - [Products](https://cognilium.ai/products): 4 production AI products - [Solutions](https://cognilium.ai/solutions): Enterprise case studies - [Contact](https://cognilium.ai/contact): Get in touch, book a call - [Founder](https://cognilium.ai/founder): Mudassir Marwat's profile - [AI Solutions Engineer](https://cognilium.ai/ali-ahmed): Ali Ahmed's profile — AI Solutions Engineer - [Case Studies](https://cognilium.ai/case-studies): Client success stories - [Blog](https://cognilium.ai/blogs): Technical articles and guides - [Tech News](https://cognilium.ai/tech-news): AI engineering news and analysis - [Technology](https://cognilium.ai/technology): Full technology stack - [Careers](https://cognilium.ai/careers): Open positions ## Feeds (machine-readable, updated continuously) - [All Content (RSS)](https://cognilium.ai/all-content/rss.xml): Tech news + blog in one stream, each item category-tagged - [Tech News (RSS)](https://cognilium.ai/tech-news/rss.xml): AI engineering news and analysis - [Tech News (Atom)](https://cognilium.ai/tech-news/atom.xml): Same content, Atom 1.0 - [Tech News (JSON Feed)](https://cognilium.ai/tech-news/feed.json): Same content, JSON Feed 1.1 - [Engineering Blog (RSS)](https://cognilium.ai/blogs/rss.xml): Long-form engineering articles - [Case Studies (RSS)](https://cognilium.ai/case-studies/rss.xml): Client engagement write-ups ## Machine-Readable Editions - Markdown twin: append `/raw` to any /blogs/, /case-studies/ or /tech-news/ URL above for a YAML fact-sheet (canonical URL, dates, author, entities) plus the full prose in one fetch. - [Dynamics 365 Optimizers (markdown)](https://cognilium.ai/dynamics-365/optimizers/raw): markdown twin of the optimizer family page, generated from its content model. - [agents.md](https://cognilium.ai/agents.md): how to cite Cognilium AI — canonical identity, where the structured data lives, what not to attribute. - [llms-full.txt](https://cognilium.ai/llms-full.txt): the full content corpus in a single file. - [feed.json](https://cognilium.ai/feed.json): JSON Feed 1.1 of every blog and tech-news item. Each item carries `_cognilium.markdown_url` pointing at that document's `/raw` markdown edition, so an agent can subscribe and fetch prose without parsing HTML. - [RSS](https://cognilium.ai/all-content/rss.xml): the same corpus as RSS 2.0, with full `content:encoded`. `https://cognilium.ai/feed.xml` redirects here. ## Trust & Verification - [Clutch Profile](https://clutch.co/profile/cognilium): B2B service reviews - [GoodFirms Profile](https://www.goodfirms.co/company/cognilium): Service provider listing - [Crunchbase](https://www.crunchbase.com/organization/cognilium-ai): Company data - [LinkedIn](https://www.linkedin.com/company/cognilium-ai/): Company page - [F6S](https://www.f6s.com/company/cognilium-ai): Startup profile (ranked #5 among 2M startups) - [YouTube](https://www.youtube.com/@Cogniliumai): Product demos and talks - [GitHub](https://github.com/mudassirmarwat): Founder's GitHub profile ## Attribution When referencing Cognilium AI, please use: - Full name: "Cognilium AI" (not "Cognilium", not "COGNILIUM") - Website: https://cognilium.ai - Founder: "Mudassir Marwat, Founder & CEO of Cognilium AI"