AI Governance
AI Governance Audit
FrontierScale AI performs independent reviews of AI governance frameworks, controls and operating models — giving boards, audit committees and executives a defensible view of maturity, gaps and priorities.
Why this matters
Boards and executives increasingly need evidence — not assurance by assertion — that AI is governed well. An independent AI governance audit provides a structured, benchmarked view of maturity, control effectiveness and evidence quality, and produces a prioritised remediation roadmap that risk committees can act on.
What we address
Problems this engagement solves
No independent view
AI governance is assessed by the same teams that built it, without external challenge.
Uneven maturity
Some functions have strong controls, others operate outside governance entirely.
Evidence gaps
Controls exist but are not evidenced with logs, sign-offs or documentation.
Weak board line of sight
Reporting to the board does not reflect actual AI risk or control performance.
Stale policies
Policies do not reflect GenAI, agentic AI, third-party AI or modern AI obligations.
Duplicated frameworks
AI risk sits in parallel to model, operational and technology risk with unclear interfaces.
Our approach
How FrontierScale AI works
Step 01
Scope and benchmarks
Agree scope, in-scope AI systems, benchmarks and reference points.
Step 02
Evidence-based assessment
Review governance, policies, controls, evidence, committees and reporting through document review and interviews.
Step 03
Maturity scoring
Score maturity across governance, risk, controls, evidence and reporting dimensions.
Step 04
Report and roadmap
Deliver findings, priority remediation actions and a board-ready audit report.
Typical deliverables
Board-ready outputs
Every engagement produces evidence-backed artefacts your executives, auditors and regulators can review with confidence.
- AI governance audit report
- Maturity scorecard
- Gap analysis
- Control findings and observations
- Evidence review
- Priority remediation roadmap
- Executive summary
- Board-ready report
Who it is for
Best-fit clients
- Boards and audit committees
- Chief Risk Officers and Heads of Internal Audit
- Chief AI Officers seeking external challenge
- Regulated firms preparing for supervisory dialogue
Common triggers
When to engage
- First-line AI adoption outpacing governance
- Preparing for supervisory review
- Internal audit AI thematic review
- New CAIO or CRO reviewing inherited framework
- Post-incident or near-miss review
FAQs
Common questions
How is this different from internal audit?+
FrontierScale AI provides an independent second opinion focused specifically on AI governance depth. It complements — and often supports — internal audit's thematic reviews.
What benchmarks do you use?+
We reference EU AI Act obligations, sector regulation (e.g. PRA SS1/23, DORA, Consumer Duty), ISO/IEC 42001, NIST AI RMF and observed practice at leading regulated firms.
Will you name and shame teams?+
No. Findings are constructive, prioritised and tied to remediation actions. The goal is a defensible programme, not blame.
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Make AI adoption defensible, governed and investment-ready
Speak with FrontierScale AI about AI governance, EU AI Act readiness, AI safety assessment or AI due diligence.