Govern and advise
AI Governance and Compliance
Practical AI governance: know what AI you run, decide what is acceptable, and show regulators and customers that you are in control.
Why it matters
Teams adopt AI faster than policy can follow. Shadow AI, unclear ownership and new regulation leave security and compliance leaders accountable for systems they cannot see.
Mapped to
- NIST AI RMF
- ISO/IEC 42001
- EU AI Act
What we cover
- AI system inventory, including shadow AI discovery
- Acceptable use and AI security policies people can follow
- AI risk assessments and impact assessments
- ISO/IEC 42001 AI management system readiness
- EU AI Act role and risk classification, and obligation mapping
- Board and customer-ready reporting on AI risk
How an engagement runs
- 01
Discover
Build an inventory of AI systems, owners, data and vendors.
- 02
Assess
Measure gaps against the frameworks that matter to you.
- 03
Design
Write policies, controls and roles that fit how you work.
- 04
Sustain
Set up reviews, metrics and evidence for audits and customers.
What you receive
Clear outputs your engineers, leadership and auditors can each use.
- AI inventory and risk register
- Gap assessment with a prioritised roadmap
- Policy set and control framework
- Evidence pack for customer questionnaires and audits
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Learn moreReady to talk about AI Governance and Compliance?
Tell us what you are building. We will come back with a short, honest view of where the risk is and what it would take to test it.