Rulix AI

Framework

33 sections covering the operating model for an AI Center of Excellence — readiness gates, CoE structure, risk classification, agent lifecycle, guardrails, monitoring, and the compliance landscape.

  1. §1What this framework is
  2. §2Who this is for
  3. §3The 7 failure modes this framework prevents
  4. §4Core principles
  5. §5Readiness — are we ready to start?
  6. §6The AI Center of Excellence (AI CoE)
  7. §7Operating model: Platform / Workload / CoE
  8. §8Single accountable owner with real authority
  9. §9The five pillars of the CoE (what we do day-to-day)
  10. §10Risk classification
  11. §11The agent lifecycle
  12. §12The intake process
  13. §13Required artifacts
  14. §14The Agent Card (spec)
  15. §15The central AI registry
  16. §16The approved stack
  17. §17Agents as privileged identities
  18. §18Responsible AI
  19. §19The three guardrail layers
  20. §20The five control mechanisms (before action)
  21. §21The five monitoring signals (after action)
  22. §22The four stages of autonomy
  23. §23Open protocols and the agent stack
  24. §24Observability — what to log, what to dashboard
  25. §25Security: discover, protect, detect
  26. §26Procurement integration (vendor AI governance)
  27. §27Data foundation
  28. §28Cost management
  29. §29ROI tracking
  30. §30Common failure patterns to avoid
  31. §31Compliance landscape (2026)
  32. §32Implementation roadmap (12–18 months)
  33. §33Open questions / out of scope

33 sections loaded