Governance & accountability
Review policies, ownership, approval routes, oversight and escalation.
AI Audit & Assurance
Know whether your AI controls work.
Assess AI governance, documentation, data dependencies and control effectiveness against a clearly defined scope and set of criteria.
What we address
From claimed controls to documented evidence.
We review how AI risks are identified, who owns them, how controls are implemented and what evidence supports their effectiveness. Findings are prioritised so leaders can act.
Systems & documentation
Review data dependencies, model records, limitations and monitoring evidence.
Controls & findings
Assess agreed controls, document gaps and prioritise remediation.
Engagement outputs
Specific deliverables.
A clear next step.
Scope, evidence requirements and deliverables are agreed before work begins. Each engagement is shaped around your systems, risk exposure and current maturity.
- Agreed scope and assessment criteria
Define the systems, governance areas and controls under review.
- Evidence and control assessment
Review documentation and test controls within the agreed scope.
- Findings and risk priorities
Record the evidence, limitations and significance of each finding.
- Remediation roadmap and executive report
Provide actions, proposed ownership and a clear decision-maker briefing.
Common questions
A clear basis for engagement.
What can an assessment cover?
Possible scopes include AI governance, generative AI use, vendor governance, data and lineage controls, human oversight and audit readiness. Technical testing is defined separately according to the system and available evidence.
How do you handle independence?
Where Data Angles has designed or implemented the controls being reviewed, that involvement is disclosed. The engagement scope establishes how objectivity is maintained and whether a separate reviewer is required.
Does an assessment certify compliance?
No. An assessment reports findings against agreed criteria and available evidence. It is distinct from an accredited certification, statutory audit or regulatory determination.
Make governance operational.
Discuss your data governance, AI assurance or agentic AI control requirements with Data Angles.