Enterprise Agentic AI Architecture & Prototype

Context / Problem

The engagement explored whether a coordinated group of specialist agents could answer an enterprise workflow coherently while keeping tools and outputs structured. It required enough implementation to test the architecture, without presenting a proof of concept as a production-hardened service.

My Role

I created the architecture and delivery documentation and implemented the Python orchestration, specialist-agent pattern, data models, external lookup integration, web path, AWS integration, logging, tests, and CDK infrastructure.

What I Did

• Implemented an orchestrator with five scoped specialist capabilities and structured model outputs.
• Connected a web interface through an API path to AWS model and runtime services plus one scoped external lookup tool.
• Defined and tested the supporting AWS CDK resources, permissions, logging, and deployment shape.

Architecture

A web interface reaches a proxy API and coordinating orchestrator. The orchestrator delegates bounded tasks to specialist agents, invokes supported Bedrock runtime models and a scoped lookup tool, then composes a structured response. The whole path remains inside an explicit proof-of-concept boundary.

Key Decisions / Trade-offs

Separate orchestration from specialist work

Narrow specialist responsibilities made tool use and response structure easier to reason about than one undifferentiated agent.

Model outputs as structured data

Typed response contracts reduced ambiguity between components and made validation practical.

Keep the hardening gap visible

The prototype recorded missing production controls rather than allowing functional behavior to imply production readiness.

Implementation Scope

The PoC architecture, Python application, coordinating and specialist logic, web and API path, scoped external lookup, logging, tests, and AWS CDK resources were implemented. The result demonstrated the selected interaction pattern at prototype depth.

Safety / Security / Governance

IAM permissions and scoped tooling were part of the prototype, while the known hardening boundary remains explicit: application authentication and an API authorizer were not evidenced, source material noted permissive CORS, and no explicit WAF, rate limiting, retry policy, circuit breaker, or loop limit is claimed.