Problem
What breaks first
Agents appear faster than owners, policies, and audit trails. Shadow bots answer from the wrong library. Boards hear “AI” and think risk theatre — or freeze everything.
Approach
How we cut through
Treat every agent as a named production system: owner, identity, grounding bounds, action gates, preference review, and a kill switch. Align language to NIST AI RMF categories (map, measure, manage, govern) without drowning operators in paperwork.
What we do
Concrete work, not brochure fog
- Estate inventory (Scout / catalogue patterns) and ownership RACI
- Purview / DLP / audit paths verified before scale
- Human gates for irreversible actions; eval sets as release brakes
- Incident and escalation playbooks that prefer completion over cover-ups
Effective Measurements — evidence gates · Game V2 — triage under pressure · Our Goal — Intent → Governance