THE PROBLEM: Most AI Projects Never Reach Production

Your AI Prototype Impressed Everyone.Now What?

You built an amazing agent with LangGraph or CrewAI. It demos perfectly. But deploying it to production? That's where things fall apart.Memory management. Authorization. Scaling. Monitoring. Compliance.

THE SOLUTION

AWS Bedrock AgentCore: Production Infrastructure for Any Agent Framework

Deploy your agents to production in 3 weeks, not 6 months. We handle the infrastructure so you can focus on the business logic.

48hrs
To Prototype
3 weeks
To Production
High
Uptime SLA
100%
Job Success on Upwork

Why AI Prototypes Fail in Production

You're not alone. Every team faces these challenges when moving from demo to deployment.

Prototype Works, Production Fails

Your POC impressed stakeholders, but scaling it breaks everything

Impact: Months of wasted development

Framework Lock-in

Stuck with LangGraph or CrewAI limitations, unable to customize

Impact: Technical debt accumulation

No Memory Persistence

Agents forget context between sessions, breaking user experience

Impact: Poor user satisfaction

Missing Observability

Can't trace agent decisions or debug production issues

Impact: Blind operations

The Hidden Cost of Building Production Infrastructure

Months of payroll
Senior engineers building plumbing, not product
4-6 Months
Time to production
5-8 Engineers
Dedicated team required
LIVE DEMONSTRATION

See How We Solve It: Financial Advisor Demo

Watch our production Financial Advisor system handle complex queries, block illegal requests, and maintain perfect compliance - all in real-time.

Multi-Agent Orchestration

Three specialized agents working seamlessly together to handle financial queries

Real-time Guardrails

Watch the system block illegal requests while maintaining user experience

Production Monitoring

See CloudWatch traces showing exactly how agents collaborate and make decisions

THE SOLUTION

AgentCore: Your Fast Track to Production

We've built the production infrastructure so you don't have to. Deploy any agent framework with enterprise-grade engineering practice.

Everything You Need, Nothing You Don't

Framework Agnostic

Deploy any framework - LangGraph, CrewAI, or custom

Production Infrastructure

Memory, auth, monitoring built-in from day one

Enterprise Scale

Handle millions of requests with auto-scaling

Full Observability

Trace every decision, monitor costs, debug instantly

Your Journey to Production

Requirements & ArchitectureDay 1-2
Prototype DevelopmentDay 3-5
Production SetupWeek 2
Testing & DeploymentWeek 3
Optimization & SupportWeek 4+

Build In-House vs Deploy with AgentCore

AspectBuild In-HouseWith AgentCoreYour Advantage
Time to Production4-6 months3 weeksMonths down to weeks
Infrastructure Cost$50K+ setup$0 setupRemoved entirely
Engineering Team5-8 engineers1-2 engineersFewer engineers to operate
Operational OverheadHigh maintenanceFully managedZero ops
ARCHITECTURE

Built on AWS, Optimized for Scale

Enterprise-grade architecture that grows with your business

Application Layer

  • Your Agents
  • Business Logic
  • Custom Tools

AgentCore Platform

  • Orchestration
  • Memory
  • Guardrails

AWS Services

  • Lambda
  • DynamoDB
  • Cognito

Monitoring

  • CloudWatch
  • X-Ray
  • Cost Explorer

Security

  • IAM
  • KMS
  • WAF

Integration

  • API Gateway
  • EventBridge
  • SQS
FAQ

Common Questions About AgentCore

WORK IT OUT YOURSELF

What an agent tier is worth, in your numbers

We do not publish a savings figure, because ours would be a guess about your operation. Here is the arithmetic instead. Fill in your own values and the answer is yours rather than ours.

  1. 1.Fully loaded cost of one handled request today — salary and overhead of whoever handles it, divided by how many they get through in an hour.
  2. 2.Monthly volume — how many of those requests arrive.
  3. 3.Deflection rate — the share an agent closes without a human. This is the number to be sceptical about, and the only honest way to get it is to run your own traffic through a pilot.
  4. 4.Subtract what the agent costs to run — inference per request, plus the managed runtime. Not zero, and it scales with volume rather than staying flat.

(1 × 2 × 3) − 4. If step 3 is where you get stuck, that is the right instinct — it is the one input nobody can give you from outside your own data, and it is what a pilot is for.

BUILT BY COGNILIUM

Stop Building Infrastructure. Start Shipping Agents.

We run 37 AI agents in production across our four products. Yours could be next. Get from prototype to production in 3 weeks with AWS Bedrock AgentCore.

Zero Failed Contracts
3 Clouds in Production
Global Scale

AWS Bedrock AgentCore is a production deployment platform developed by Cognilium AI. All deployments include SLAs, monitoring, and 24/7 support.

Our second practice

This is our AI engineering practice

It is real work and it is where our four products came from. But what Cognilium leads with is narrower: optimization apps that run in tandem with Microsoft Dynamics 365, computing the decisions the ERP records but does not derive — the optimal price, the optimal pick path, the optimal stock level. See the optimization apps · How we build inside the ERP.