Playbook diagnostic

Is our AI use actually governed — or are we one incident away from finding out it isn't?

For organisations facing board-level questions about AI accountability, this diagnostic reveals in minutes where your governance controls are effective and where blind spots and gaps sit — with the functionality to remove them. It builds a structured view across the five areas that determine whether AI use is genuinely governed: policy and acceptable use, visibility of shadow AI, data protection and leakage controls, access and model governance, and compliance, audit and accountability.

Who this is for

You sit on, or report to, a board that is starting to ask pointed questions about AI accountability — and you can't yet point to a structured answer. Staff have adopted AI tools faster than policy can track them, nobody can say with confidence which regulations apply to your AI use, and IT, legal, and leadership need a shared picture built together rather than argued about after an incident.

What it assesses — five capability groups, 15 capabilities

Policy & Acceptable Use

Whether your AI rules match real practice, staff understand them, and breaches can be detected and acted upon.

  • Policy coverage
  • Communication and understanding
  • Enforcement capability

Ungoverned AI use spreads faster than rules can follow.

Shadow AI Visibility

Whether you can see which AI tools are actually in use, and whether approved alternatives and risk triage are in place.

  • Tool discovery
  • Sanctioned alternatives
  • Usage risk triage

Invisible AI tools create risks nobody can manage.

Data Protection & Leakage Controls

Whether data protection extends to AI channels, confidential material is stopped at the point of input, and IP exposure is understood.

  • DLP coverage for AI channels
  • Input control
  • IP protection

Sensitive data leaks through AI channels without warning.

Access & Model Governance

Who can deploy or connect AI to your systems, whether identities are least-privilege, and whether embedded supplier AI is assessed.

  • Deployment control
  • Identity for AI
  • Third-party AI assessment

Uncontrolled AI access turns systems into open doors.

Compliance, Audit & Accountability

Whether you know which regulations apply, could evidence your governance today, and have named accountability for AI incidents.

  • Regulatory mapping
  • Audit readiness
  • Incident accountability

Regulators, auditors and customers find nobody accountable.

What you get

  • Live dashboard across all 15 AI governance capabilities
  • Blind spots and governance gaps flagged explicitly
  • Prioritised, tailored recommendations
  • Unlimited re-runs to track progress
  • Team consensus view via shared link

How it works

  1. 1 Start the diagnostic — nothing to prepare
  2. 2 Respond to structured, expert-validated statements
  3. 3 Review your dashboard the moment you finish
  4. 4 Act on recommendations, then re-run to measure

Frequently asked questions

How long does the AI Security & Governance diagnostic take? +

Most people finish in around 9 minutes. You respond to a structured set of statements across the five capability groups — policy, shadow AI, data protection, access governance, and compliance — and your dashboard is ready the moment you submit your last answer.

What five areas does the AI Security & Governance diagnostic cover? +

It covers Policy & Acceptable Use, Shadow AI Visibility, Data Protection & Leakage Controls, Access & Model Governance, and Compliance, Audit & Accountability — 15 named capabilities in total, each scored individually on your dashboard.

What is shadow AI, and why does this diagnostic check for it? +

Shadow AI refers to AI tools staff adopt without telling anyone, often free consumer services that have never been risk-assessed. The diagnostic checks whether you have visibility of tools actually in use, whether your approved alternatives are good enough to prevent workarounds, and whether usage risk has been properly triaged.

Does this diagnostic help with AI compliance and audit readiness? +

Yes. One full capability group is dedicated to Compliance, Audit & Accountability, covering whether you know which regulations apply to your AI use, whether you could evidence your governance to an auditor or major customer today, and whether a named individual owns AI incident response.

Can my leadership team or board complete this together? +

Yes. You can invite colleagues to respond independently and view a consensus dashboard that shows where your leadership team agrees on AI governance maturity, and where perceptions diverge, which is often where the real risk sits.

Is this just an AI chatbot conversation? +

No. You're responding to a fixed set of expert-validated statements built around 15 named capabilities, not having an open-ended conversation. The structure is what makes the results comparable across runs and across your leadership team.

What does the output actually look like? +

A dashboard scored across all 15 capabilities, with blind spots and governance gaps called out explicitly and a prioritised list of recommendations for what to act on first, from policy fixes to access controls.

How is this different from hiring an AI governance consultant? +

There's no engagement to schedule and no report to wait weeks for. The diagnostic gives you an expert-validated, structured view immediately, and you can re-run it as often as you like to track progress at no extra cost.

Do I need existing AI policies in place before starting? +

No preparation is required. The diagnostic is designed to reveal exactly where your policies, visibility, controls and accountability currently stand, including where nothing formal exists yet, so you can start with whatever state you're in today.

How much does it cost, and can I re-run it later? +

There are no hidden costs, and re-runs are unlimited once you're licensed, so you can track how your AI governance posture improves over time. SuccessOf.ai is used by many organisations for this diagnostic, with a high satisfaction rating among users.

Get clarity on your AI governance blind spots — in minutes.

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