Moving an agentic AI prototype into a safety-critical enterprise environment uncovers harsh engineering realities beyond simple code generation.
In this session, we dissect a multi-agent agile orchestrator to explore five architectural reality checks encountered during its evolution.
We will look at why more agents do not equal more autonomy, how we balanced local models (Phi via Ollama) with cloud architectures (Azure GPT6), and how Model Context Protocol (MCP) became our core integration boundary in VS Code.

Attendees will see a live demonstration of a 7-phase agentic pipeline spanning backlog refinement to verification. We skip the hype to focus purely on the deterministic validation gates, security boundaries, and human-in-the-loop controls required when non-deterministic AI meets enterprise compliance.