AI RESOURCE CONTROL · AI GOVERNANCE PROTOTYPE
What happens when AI demand exceeds capacity?
As teams rely more on AI, not every request should receive the same level of compute, budget or human review. Organizations may need to decide which requests get premium resources, which can use lighter alternatives and which should wait.
This concept explores how teams might review flagged AI requests, choose lighter alternatives or schedule work for later, and reserve premium capacity for higher-priority needs.
Scenario
You’re reviewing AI usage across internal teams. Sales Operations is nearing its weekly allocation, and several requests need a routing decision before they use premium capacity.
Open the queue to review each request, compare the recommended route, and choose whether to approve, simplify, defer, or send it back for a narrower scope.
