AI Governance Setup
The structure that keeps AI use under control after the assessment ends.
What's included
Governance that holds
Most governance programs fail because they're built on paper — roles no one owns, processes no one follows, registers no one updates. We build yours around the people and workflows that already exist in your company.
Roles and accountability
We define who owns AI decisions at each level — who approves new tools, who reviews incidents, who reports to the board. Clear ownership is what makes governance real.
Intake and approval process
A lightweight process for evaluating new AI use cases before they go live. Covers risk assessment, data review, vendor vetting, and approval sign-off.
AI risk register
A living register of AI tools and use cases, with risk ratings, owners, and review dates. Built to be maintained by your team, not a consultant.
Review cadence
A scheduled review process — monthly, quarterly, and annual — so the program stays current as your AI use evolves.
Framework mapping
Every deliverable is mapped to NIST AI RMF and ISO/IEC 42001 so your auditors and board have a recognized reference point.
Deliverables
What you receive
Right for you if
- You've completed an AI risk assessment and need a structure to act on the findings.
- Your board or regulators expect a formal AI governance program.
- You need to demonstrate AI oversight to enterprise customers or auditors.
- You want to align with NIST AI RMF or ISO/IEC 42001 without a multi-year project.
Natural next step
AI Governance Advisory
A monthly retainer that keeps the program current as your company adopts new AI — risk register reviews, use case approvals, policy updates, and quarterly leadership reports.
Book a 30-minute AI exposure review
A free call for security leaders. You leave with a clearer view of your AI exposure, whether or not you hire us.