For organisations facing board-level questions about AI accountability to reveal in minutes where their governance controls are effective and where blind spots and gaps sit with the functionality to remove them.
AI adoption can outpace the policies, visibility, data protections, access controls and accountability mechanisms needed to govern it. This creates operational, security and board-level risk because leaders may not know which controls work, where shadow AI or data leakage is occurring, or which governance gaps require priority action.
This diagnostic is for organisation-level decision-makers and teams across executive leadership, operations, AI readiness, AI adoption and IT or technology functions in organisations seeking clearer AI security and governance oversight.
The assessment examines five connected governance domains. Each domain contains three named capabilities, giving leaders a structured way to consider policies, behaviours, technical controls, operating processes and accountability.
This group examines whether your organisation has clear, realistic rules for how AI can and cannot be used, whether staff genuinely understand those rules in their daily work, and whether breaches can be detected and acted upon. A policy only protects the organisation when it reflects real practice and carries enforcement behind it.
Ungoverned AI use spreads faster than rules can follow.
This group examines whether you can see which AI tools are actually in use across the organisation, whether the approved tools you provide are good enough to stop staff seeking workarounds, and whether the risks of the tools people rely on, including free consumer services, have been properly assessed and understood.
Invisible AI tools create risks nobody can manage.
This group examines whether your data protection controls extend to the AI channels through which information now flows, whether confidential material can be stopped before it enters public AI models, and whether you have understood and addressed the specific ways AI usage could expose your organisation's intellectual property to outsiders.
Sensitive data leaks through AI channels without warning.
This group examines who is allowed to deploy, configure or connect AI tools and agents to your systems, whether those tools operate through managed identities with only the permissions they genuinely need, and whether the AI capabilities embedded in supplier products are assessed before anyone switches them on.
Uncontrolled AI access turns systems into open doors.
This group examines whether you know which regulations apply to your use of AI and can prove you meet them, whether you could evidence your AI governance to an auditor, regulator or major customer today, and whether a named person owns the response when an AI tool causes an incident.
Regulators, auditors and customers find nobody accountable.
You receive a structured view of effective controls, blind spots and capability gaps across 15 areas, together with relevant positive behaviours and prioritised recommendations drawn from the diagnostic's governance framework.
The diagnostic supports a more structured discussion about AI accountability and control effectiveness. It can help decision-makers focus governance activity, connect risks to specific capabilities and identify practical actions for closing blind spots and strengthening oversight.
It assesses 15 capabilities across policy and acceptable use, shadow AI visibility, data protection and leakage controls, access and model governance, and compliance, audit and accountability.
It is intended for organisation-level decision-makers and teams working across executive leadership, operations, AI readiness, AI adoption, and IT or technology functions.
It helps reveal where governance controls appear effective and where blind spots or gaps sit, so the organisation can focus attention on the capabilities that need improvement.
The underlying framework provides capability-specific recommendations across technology, training, process redesign, talent, and outsourced specialist support, depending on the gap being addressed.