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BOARD AI DIAGNOSTIC
Meaningful board accountability when AI responsibility is dispersed across the organisation.
Board question: When AI acts, who remains accountable?
A focused four-week diagnostic and board workshop to clarify who decides, who owns the risk, and what information the board needs to exercise oversight.
Draws on Dr Mimi Ajibadé's AI Accountability Model and aligns with the accountability expectations of ISO/IEC 42001 and EU AI Act risk tiering.
Deliverables
You receive:
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An AI risk and accountability map
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A board-ready oversight report
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A prioritised 90-day action plan with suggested owners
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A board workshop
For boards introducing or scaling AI, particularly where accountability spans functions, suppliers, subsidiaries or jurisdictions. Board governance advice, not a technical systems audit or ISO certification.
Continuing support
The diagnostic can lead into a fractional advisory engagement.
Approach
01 Diagnostic
Map AI use, responsibilities, escalation and board reporting from agreed governance documents and focused discussions with leaders.
02 Board workshop
Test the findings with directors and executives: oversight gaps, risk ownership, human judgement and the questions the board should ask.
03 Handover
A board-ready report and action plan.
Four weeks from commencement to board workshop.
Continuing support available through a fractional advisory engagement.
The Conversation
Most organisations assume accountability already exists.
The diagnostic tests whether accountability still reaches the board when AI responsibility is dispersed across functions, suppliers, subsidiaries and jurisdictions.
If this is a question your organisation is beginning to confront, let's start there.