AI Governance
Assessment

Most organisations don't know where their AI governance gaps are until something goes wrong. This assessment gives you a structured, evidence-based picture of your posture across eight dimensions — before the gaps become incidents.

What the assessment covers

The assessment evaluates eight governance dimensions, each mapped to the principles and frameworks in the Muuvment AI Governance Toolkit. Every question is designed to surface practical gaps, not theoretical ones.

• 01
  Governance Framework & Accountability

  Whether your organisation has defined AI roles, named accountable individuals, and an oversight structure — from operational teams to board level. Assessed against EU AI Act Article 14 and SM&CR requirements.
• 02
  AI Risk Management

  Your approach to identifying, classifying, and managing AI-related risks — including model risk, operational risk, and third-party vendor risk. Includes assessment of your AI Risk Register maturity.
• 03
  Policy & Regulatory Compliance

  Whether your AI Use Policy exists, is enforced, and covers the key obligations under applicable regulations — EU AI Act, GDPR/LGPD/PIPEDA, sector-specific requirements (SR 11-7, DORA, FCA), and emerging frameworks.
• 04
  Data Governance & Privacy

  Data quality, ownership, lineage, and the lawful basis for using personal data in AI systems. Includes assessment of shadow data risks, consent management, and DPIA readiness.
• 05
  Transparency & Explainability

  Your ability to explain AI decisions to customers, employees, and regulators — including documentation of model logic, bias testing, and your approach to algorithmic transparency obligations.
• 06
  Human Oversight & Control

  Whether meaningful human oversight is embedded in your AI workflows — including override mechanisms, escalation paths, and incident response processes when AI systems make errors affecting people.
• 07
  Monitoring & Audit

  Post-deployment monitoring practices — model drift detection, performance tracking, audit trails, and your process for decommissioning AI systems safely. Aligned with ISO 42001 and NIST AI RMF requirements.
• 08
  Training & Awareness

  The depth and reach of AI governance training across your organisation — from board-level literacy to operational staff awareness, including shadow AI governance and acceptable use education.

What you get

When you complete the assessment, you receive an immediate governance posture report:

Who it's built for

The assessment is designed for mid-market organisations that are deploying or evaluating AI systems — particularly those in regulated industries where governance obligations are explicit. It works equally well as an initial baseline assessment or as a periodic review tool.

It is most useful for: operations leaders scoping an AI programme, CIOs and CTOs preparing for board discussions, compliance and risk officers mapping regulatory exposure, and executives who need a structured starting point before engaging an AI implementation partner.