Evolving Your Enterprise Architecture for the Agentic Era

AI agents don't fit neatly into the architecture you already have, they put pressure on it. Enterprise patterns built around request-response APIs, predefined workflows, and human sign-off at every step were never designed for software that makes decisions, and invokes tools on its own.

This lab walks through how enterprise architecture needs to evolve to support agentic workloads at scale:

• Where conventional API gateways, identity models, and integration patterns break down when agents are the callers
• Identity and access control when the "user" behind a request is an autonomous agent
• Observability that goes beyond logs and metrics - tracing reasoning chains, tool calls, and decision paths end to end
• Quality assurance for non-deterministic systems, why unit tests fall short and how evaluation-driven development becomes the primary quality gate
• Governance built into the platform itself - guardrails, cost controls, and policy enforcement as architecture, not afterthought
• Incremental adoption patterns, so you don't have to rearchitect everything before agents deliver value

You'll leave with a practical architectural blueprint for making your enterprise agent-ready - able to support, secure, and govern agents from day one in production.