How can an organization make AI reviews faster without abandoning oversight?
Map one real AI request from start to finish and find the decision that's slowing it down. The summit notes include frustration with layers of committees reviewing AI work, which is a panel opinion and no reason to remove privacy, security or legal review.
Take one actual request and write down who makes which decision and what evidence they need. Note where it waits, and why. Then separate a required approval from a meeting that only repeats information.
If several groups ask the same questions, a shared intake record may cut the repeated work. If nobody knows who can approve the request, another checklist won't fix an ownership problem.
I'd bring a concrete change to the responsible teams. Perhaps a defined category of internal, draft-only work follows an approved path, while anything with sensitive information or external actions still gets additional review. The people accountable for those risks should set and approve that boundary.
After the change, check time and exceptions: whether requests moved faster, whether people understood when to escalate and whether an important question fell between teams. A better review process makes the decision and the owner easier to find, and employees shouldn't have to guess which controls they can ignore.