AI governance that survives an audit — and daily use
Policies, roles, and controls for how your company uses AI. Strict enough for your auditors, practical enough that your teams actually follow them.
This is for you if...
Perfect fit
- AI use has spread across teams with no rules and no oversight
- Your board, customers, or auditors are asking for an AI policy
- Sensitive data is flowing into AI tools nobody vetted
- You need clear ownership: who approves, who monitors, who answers
- ISO 42001 or the EU AI Act are on your horizon
Not the best fit
- You want a policy PDF to file away and ignore
- One person uses ChatGPT occasionally (you don't need a framework yet)
Concrete Outcomes
No vague promises. Here's what actually changes.
AI Policy That Works
Acceptable use, data rules, and tool approval — written for humans, enforced by process.
Policy set adopted, tool allowlist live, exceptions process defined
Clear Roles & Ownership
Who approves new AI use cases, who monitors risk, who reports — no more 'someone should'.
RACI defined, review board established, escalation paths documented
Evidence for the Audit
Logging, review trails, and documentation that let you prove compliance instead of asserting it.
Evidence checklist, audit trail live, ISO 42001 / AI Act mapping
How We Work Together
A clear, step-by-step approach so you know exactly what to expect.
Assess reality
What AI is actually used where — sanctioned and shadow — and what risk it carries today.
AI usage & risk map
Interviews, tool audit
Design the framework
Policies, roles, approval flows, and controls sized to your organization, not to a template.
Policy set, RACI, controls
2 review sessions
Roll out
Team-by-team introduction with the 'why' attached — governance that teams adopt, not evade.
Rollout plan executed
Team briefings
Operate & evidence
Review cadence, monitoring, and audit-ready documentation that stays current.
Evidence checklist, cadence
Quarterly reviews