Administrators can see AI activity but cannot see which workflow deserves the next commitment.
Usage visibility protects oversight while outcome ranking must avoid overstating thin historical evidence.
Who you’d be doing this for
“Finance wants one workflow to fund next quarter, and I’m still stitching the evidence together by hand.”
Klara Horvat · Engineering Administrator
Owns organization policies, analytics access, and reporting for an enterprise AI-assisted development rollout.
What is at stake
Administrators are exporting usage and audit data because no view links workflows to delivery outcomes. You must weigh a useful recommendation against sparse evidence and the risk of implying certainty it cannot support.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- actionable ranking vs sparse evidence
- outcome visibility vs causal overclaiming
- fast pilot vs explainable recommendations
Why Cursor
Cursor Enterprise already exposes organization controls, audit logs, admin APIs, and analytics APIs that can ground a new outcome-ranking capability.
Written with these in mind
Not your kind of problem? 42 more at Cursor, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.