Enterprise Architecture Governance in the AI Era
summary
Shows a working prototype that converts 50+ enterprise policies into a machine-readable engine, calls GPT‑4.5‑mini for reasoning, and evaluates JSON architecture scans to produce an architecture health score 42% → target 90% with categorized findings (example bad run: 2 critical, 4 high, 2 medium). Includes a discovery agent idea to scan repos, pipelines and READMEs, policy rules as JSON, and an orchestration of evaluate/review/fix gates; prototype works but is not yet production hardened.
AI-written summary · about
chapters (7)
- 0:00AI-era governance intro
- 7:33Agentic world challenges
- 10:00Governance as code
- 14:17AI governance engine design
- 19:41Architecture automation demo
- 25:20Intelligent governance roadmap
- 26:44Q&A
related talks
01h 01mEnterprise Architecture 4 0 The AI Driven Future Preview
48mUsing AI in Software Design: How ChatGPT Can Help With Creating a Solution Architecture
22mLearning to Apply Generative AI at Enterprise Level
48m(Unpacking) AI's Impact on System Architecture
36mGenAI governance in practice
29mAPI Integration augmented by GenAI
35mSoftware Architecture Roles Were a Luxury… Until AI Learned to Code
45mThe AI Software Architect: Revolution or Illusion?