Tool sprawl with no policy
Eleven AI tools deployed with no central policy.
AI Governance & Risk
Policies, controls, and review cadence so AI doesn't outrun governance.
Most AI risk shows up in the seam between adoption and accountability. We build the operating layer that catches it.
What this solves
The patterns we see in every discovery call.
Unreviewed customer data
AI processing customer data without DPA review.
No audit trail
Decisions made without logging or attribution.
Bar / regulator pressure
Industry rules on AI changing month over month.
What's Included
Specific deliverables. Specific outcomes.
- AI risk surface assessment
- Practice-area or function-specific policies
- Vendor due-diligence framework
- Audit trail and logging requirements
- Quarterly review cadence and dashboards
- Incident response plan
- Client/customer disclosure templates
- Insurance and regulatory posture documentation
Typical Outcomes
What leaders walk away with.
11→3AI tools rationalized under one operating model
90days from kickoff to GC sign-off on governance
1accountable executive owner installed
100%AI activity logged and reviewable