The problem with most governance frameworks
They are written for auditors, not practitioners. They do not answer the question a product manager faces when a vendor changes its model: who decides if this change needs a risk review, and by when?
An operating model answers that question.
What a working AI operating model contains
A decision tree for new AI use. When does a new AI feature, vendor or model need a risk review? Write it down in one page.
Ownership per AI system. A named person responsible for keeping the inventory entry current and responding to supplier changes. Not a committee. A person.
A review cadence. Quarterly is enough for most companies. Reviews happen on a schedule, not only after something goes wrong.
An escalation path. If an AI system causes an unexpected outcome, who hears about it first, who decides the response, and what gets documented? One page.
Start with what you have
You do not need a new team or a new platform. Start with your current AI inventory, your existing risk process and your current legal or compliance contact. Map the four elements above against what already exists. The gaps become your governance sprint.
AI Act Ready builds this operating model as part of every governance engagement.