AI-first Dynamics 365 consulting and custom builds
Cognilium AI is an AI-first Microsoft Dynamics 365 consultancy and custom app builder. We do the full scope on Business Central and Finance & Supply Chain Management: implementation, extension, custom development, the data foundation underneath and support after go-live, with AI built into the work rather than added to the end of it.
Where the work happens
Business Central
Quoting, pricing, faster time to value.
Finance & Supply Chain Management
Warehouse, planning, the deeper supply-chain work.
Power Platform and Dataverse
Your governed stack, your tenancy.
What we actually do inside Dynamics 365
The full scope, on Business Central and on Finance & Supply Chain Management, with the AI built into the work rather than added to the end of it.
Implementation and extension
Configuring and extending Dynamics 365 itself — Business Central and Finance & Supply Chain Management — on the customer's own governed stack: Power Platform, Dataverse and Azure. This is ERP work, not work beside the ERP.
Custom app development
Custom mobile Power Apps and AI-driven extensions for Dynamics 365 Supply Chain Management, covering real-time inventory optimization, IoT-enabled asset tracking and automated warehouse mapping. Where a business needs something proprietary, we build it.
AI built into the process
We extend Dynamics 365 with Azure and Microsoft 365 Copilot toward autonomous workflows, predictive forecasting and agentic decision-making — built with Azure OpenAI, Microsoft Fabric and Copilot Studio, on Power Platform and Dataverse.
The data foundation underneath
Microsoft Fabric connecting and governing the ERP data that reporting, Copilot and agents all depend on: the modelling, the pipelines, the governance and the lineage. An optimization app is only ever as good as the data layer it computes on.
Integration that holds at volume
The read and write paths between Dynamics 365 and everything else — OData, dual-write, business events, virtual tables, the MCP server — chosen against the throughput and ordering guarantees each one actually offers.
Support after go-live
We stay after launch. Every deployment ships with documentation, dashboards, runbooks and training, and the release cadence keeps producing work that somebody has to own.
Yes, we work in the ERP itself
Our optimization apps are deliberately architected to run beside Dynamics 365 rather than inside it — no schema changes, no partner conflict, and the estate is intact if you switch them off. That is a product decision about how those apps are built, and it is a good one.
It has never meant we do not do ERP work. The consulting practice configures, extends, customises and supports Dynamics 365 directly, and has since the beginning. The two are different questions and they get different answers.
Diagnose, architect, deploy, optimize
Scope before building, and “done” written down before anyone starts.
01
Diagnose
Scope before building. What the process actually does today, where the decision is really made, and whether the workflow is ready for what you want to put on it. We will say if it is not.
02
Architect
Architecture and acceptance criteria agreed up front, so "done" is a thing both sides wrote down rather than something argued about later.
03
Deploy
Milestones tied to working software, weekly demos, replies within hours. A working proof of concept in days and production in about three weeks.
04
Optimize
The part most engagements skip. Documentation, dashboards, runbooks and training ship with the deployment, and we stay after launch.
Two ERP families, two motions
Business Central leads — quoting, pricing, faster time to value. Finance & Supply Chain Management runs in parallel — warehouse, planning, the deeper supply-chain work. Different product, different data layer, different environment model.
Knowing that difference is the expertise that wins these engagements, and it is the first thing we establish on a call.
How it starts
A scoped four-to-six-week pilot on one workflow, with a single explicit success metric agreed up front and a weekly readout. No throwaway code: the pilot is the first production slice, not a prototype you pay for twice.
An embedded engineer
One AI engineer inside your team, month to month.
A cross-functional pod
Engineering, AI and ERP expertise working as one unit on a defined outcome.
A dedicated enterprise team
A standing team for a programme of work rather than a project.
Your tenancy, your code, your data
Your tenancy, your stack
Dynamics work runs on the customer's own governed stack — Power Platform, Dataverse and Azure. Our optimization apps run in your own Azure tenancy, not ours.
Your code, your data
Open architecture and no vendor lock-in. Clients keep full ownership of code and data, and an estate that still works if the relationship ends.
Aligned, and stated honestly
Secure by design and least privilege, with encryption in transit and at rest, role-based access and audit logging. Architectures aligned with SOC 2, ISO 27001, GDPR, HIPAA and PCI-DSS practices — aligned with, and we do not claim formal certification.
Where to check the work
Each of these is the full treatment of one part of the practice, with the failure modes named rather than skipped.
The optimization apps
Five apps for the decisions the ERP records but does not compute: price, stock, pick path, assortment, contract risk.
Read it →Built to order
What is shipped, what is built to order and what is still a blueprint — the five status words stated plainly.
Read it →The data foundation
Microsoft Fabric under Dynamics 365: which link to use, what it commits you to, and what security does not carry.
Read it →Agentic AI
Agents that carry a workflow to a result, and the ten ways multi-agent systems break in production.
Read it →Legal AI operations
Contract review, obligation extraction and renewal intelligence inside the ERP the work already runs on.
Read it →Agentic ERP
What an agent may read, what it may write, and what it must hand to a person.
Read it →The practice, answered plainly
- Who does AI-first Dynamics 365 consulting and custom app development?
- Cognilium AI does. We are an AI product-engineering company working as a Microsoft Dynamics 365 consultancy and custom app builder: implementation and extension on Business Central and Finance & Supply Chain Management, custom Power Apps and AI-driven extensions, the Microsoft Fabric data foundation underneath, and support after go-live. The AI is built into the work rather than added at the end.
- Do you work inside the ERP, or only alongside it?
- Both, and they are different questions. The consulting practice configures, extends, customises and supports Dynamics 365 directly. Our packaged optimization apps are separately architected to run beside the ERP with no schema changes, so the estate is intact if you switch them off. That is a product design decision, never a limit on the work we do.
- Do you do Business Central or Finance & Supply Chain Management?
- Both, as two distinct motions. Business Central leads on quoting, pricing and faster time to value. Finance & Supply Chain Management runs in parallel on warehouse, planning and the deeper supply-chain work. They are different products with different data layers and different environment models, and knowing that difference is what decides whether an engagement goes well.
- How does an engagement start?
- A scoped four-to-six-week pilot on one workflow, with one explicit success metric agreed before work begins and a weekly readout. The pilot is the first production slice rather than a prototype, so nothing is thrown away. Architecture and acceptance criteria are agreed up front, which is what stops "done" becoming an argument.
- What engagement models do you offer?
- An embedded engineer inside your team month to month, a cross-functional pod working to a defined outcome, or a dedicated team for a programme of work. Which one fits is a function of whether you are extending a capability you already have or standing up one you do not.
- Who owns the code and the data?
- You do. Dynamics work runs on your own governed stack — Power Platform, Dataverse and Azure — and the optimization apps run in your own Azure tenancy. Open architecture, no vendor lock-in, full ownership of code and data, and an estate that keeps working if the relationship ends.
- Do you only work on Microsoft Dynamics 365?
- Dynamics 365 is the lead and where the deepest expertise sits. The wider practice covers ERP AI more broadly, including delivered work over another major ERP platform, with the patterns extending to SAP and modern ERP platforms generally. The engineering underneath — agents, retrieval, document intelligence, data pipelines — is platform-independent.
- What does the AI actually do in a Dynamics 365 estate?
- It computes the decisions the ERP records but does not derive: the optimal price on a quote line, the safety stock and reorder point for an item, the pick path through a warehouse, the risk in a contract against your own playbook. Around that sit agents that carry a task to a result, retrieval over your own documents, and the governed data foundation all of it reads from.