Service
AI Governance & Audit Readiness
When the auditor asks “how do you control your AI?” — you'll have an answer, with evidence.
What this solves
- Enterprise customers and regulators asking for AI governance documentation you don't have
- EU AI Act, ISO 42001, and NIST AI RMF requirements landing on your desk with no technical implementation behind them
- Policy documents that exist on paper but aren't backed by actual controls in your systems
- AI deployed across the company with no registry of what's running, what data it touches, or who approved it
- Procurement and security reviews stalling deals because your AI story has gaps
What we deliver
- A model and AI-system registry: everything running, its purpose, its data, its risk class, its owner
- Audit logging across your AI workflows — inputs, outputs, decisions, and human overrides, retained and searchable
- Eval gates: automated quality and safety checks that block bad model changes before they ship
- Drift monitoring wired into your governance reporting, not just your engineering dashboards
- Framework mapping to NIST AI RMF, ISO 42001, and the EU AI Act — implemented controls, not just policy PDFs
- An evidence pack assembled for your auditor: the artifacts, logs, and documentation that make the audit boring
Duration & Investment
| Timeline | Approximately 4–8 weeks depending on the number of AI systems and target framework. |
|---|---|
| Investment | $18k–45k depending on scope. Substantially less than a failed enterprise deal or a regulatory finding. |
Best for
Companies selling into regulated industries or enterprise accounts, and any organization with AI in production that expects an audit, a certification push, or an EU AI Act obligation in the next 12–18 months.