Building an AI Architecture Governance Agent with .NET

About this event

AI coding is moving at an unbelievable pace. Agents can now write code, create APIs, provision infrastructure, fix bugs, run tests, and even make architectural decisions. Are we ready for the Agents?”\*\* Traditional architecture governance can be slow: architecture documents, review meetings, checklists, security reviews, compliance assessments, and approvals. AI can turn this into a more continuous process. AI can analyze solution designs, APIs, infrastructure, ADRs, diagrams, and code against enterprise standards and highlight deviations before the formal architecture review. What if your next Architecture Review Board had an AI Agent? In this session, we’ll explore how to build an AI-powered Architecture Governance Agent that can understand enterprise architecture standards, review solution designs, validate architecture decisions, identify risks, check compliance, and recommend improvements. The agent can work across the architecture lifecycle — from reviewing requirements and diagrams to analyzing APIs, cloud resources, integrations, security, and ADRs. We’ll look at a practical approach to building an Architecture Governance Agent that works alongside architects—not replacing them—to automate repetitive reviews, accelerate approvals, and continuously detect architecture drift. Design → AI Governance Agent → Validate → Recommend → Architect Approval → Continuous Monitoring The future of architecture governance isn't just another review meeting. It's an intelligent agent continuously watching over your architecture.