When AI creates risk — or governance has already failed — boards need independent assurance
AI Risk & Assurance provides independent investigation and structured assurance when AI use has created — or risks creating — operational, legal, or reputational harm.
What You Receive
Following Independent investigation, your board will have:
- Independent investigation report outlining findings and root causes
- Clear identification of governance and control weaknesses
- Practical recommendations to strengthen AI governance frameworks
- Executive and board level briefing on risks, findings, and next steps
- Guidance on ongoing oversight and risk management
The Problem
AI related incidents rarely result from bad intent. They result from adoption outpacing oversight — tools deployed without controls, decisions influenced by AI outputs without accountability, or governance frameworks that haven’t kept pace with how the technology is actually being used.
When something goes wrong, boards need an independent view. Not a vendor assessment. Not an internal review. An objective, evidence-based investigation with clear findings and practical recommendations.
What We Do
We provide independent assurance across five areas:
Incident Investigation
Independent investigation of AI related incidents, governance failures, or concerns raised about how AI is being used within the organisation.
AI Useage Assessment
Identification of where AI tools and systems are in use, what decisions they are influencing, and whether appropriate controls exist.
Governance and Controls Review
Assessment of existing governance structures, policies, oversight mechanisms, and accountability frameworks relating to AI use.
Risk Exposure Analysis
Identification of operational, legal, ethical, and reputational risks associated with current AI practices or specific incidents.
Corrective Recommendations
Practical, prioritised recommendations to strengthen governance, controls, and oversight – with clear acccountability for implementation.
Who This Is For
This engagement is typically initiated when:
- Concerns have been raised about how AI tools are being used internally
- An AI related incident has created operational, legal, or reputational risk
- AI systems have been deployed without appropriate oversight or controls
- The board requires independent assurance that AI risks are being properly managed
- Leadership needs an objective view following a governance failure