Evolving Your Enterprise Architecture for the Agentic Era

AI agents don't just plug into your existing architecture, they challenge it. Traditional enterprise patterns built around request-response APIs, static workflows, and human-in-the-loop approvals weren't designed for systems that reason, act autonomously, and call tools on their own.

This lab explores how enterprise architecture must evolve to support agentic workloads at scale:

• Why conventional API gateways, identity models, and integration patterns fall short for agents
• Rethinking identity and access control when the caller is an agent, not a user
• Observability beyond logs and metrics - tracing reasoning chains, tool invocations, and decision paths
• Rethinking quality assurance - why unit tests aren't enough when outputs are non-deterministic, and how evaluation-driven development becomes the primary quality gate for agentic systems
• Governance as architecture - embedding guardrails, cost controls, and policy enforcement into the platform layer
• Patterns for incremental adoption without rearchitecting everything on day one

By the end of this lab, you'll have a practical architectural blueprint for making your enterprise agent-ready - so that when agents move into production, your platform is ready to support, secure, and govern them.