Operating Model: Ownership, Interfaces, and Approval Gates
Explore how to establish an effective operating model for AI platforms by defining clear ownership, interfaces, and approval gates. Understand how to assign accountability to control decision rights, design evidence-based gates, and handle model change management. This lesson helps you ensure secure, auditable, and efficient AI platform governance and incident response.
Golden paths name which artifact and gate a decision-ladder level needs. They don’t say who actually approves a gate, who owns the escalation when it fails, or what happens when the org chart doesn’t match the boundary. A workable operating model for an AI platform is an interface definition for decisions, approvals, and evidence. It stays stable even when the org chart changes, since it specifies who can approve a change, what evidence must be produced, and where escalation goes when a risk or incident crosses a threshold. For our copilot example, where multiple product teams consume a shared platform under governance oversight and a shared LLMOps process, this interface is what prevents control bypass while keeping delivery flow predictable.
Do not combine platform, product, security, and governance ownership into a single “shared responsibility” category. Each control may involve several responsible parties, but it must have one accountable owner. Otherwise, two ...