360° AI Health Check
An independent diagnostic across the six dimensions of responsible, effective AI deployment. We test whether your AI strategy is genuinely board-ready — or just strategically worded.
The Problem
Most organisations are deploying AI faster than they are governing it. The people building it have the loudest voice. The board is relying on the same team to assess the risk. That is the definition of marking your own homework.
AI failures are not usually technical failures. They are governance failures — unclear ownership, untested assumptions, unmonitored outputs. The questions that matter are rarely the ones being asked in the boardroom.
The people building your AI capability are invested in its success. That is not cynicism — it is human nature. An external, independent diagnostic gives the board evidence it can trust, not evidence it has been given.
The EU AI Act, UK AI governance frameworks, and sector-specific rules are shaping the compliance landscape at pace. An independent Health Check gives you a documented baseline — and a defensible position.
Most AI pilots deliver promising demos. Fewer deliver measurable business value at scale. We test whether your AI programme has a credible path from proof-of-concept to sustained organisational benefit.
The Diagnostic
The same diagnostic rigour as our Programme Health Check — applied to the specific challenges of AI strategy, deployment, and governance.
DIM 01
Is your AI strategy solving a real problem, or chasing a trend? We test whether there is a coherent link between AI investment and organisational strategy — and whether the board has genuinely signed off on the direction.
DIM 02
AI is only as good as the data it runs on. We assess data quality, lineage, accessibility, and the governance around how data is sourced, stored, and used — including third-party and training data.
DIM 03
Are your AI outputs fair, explainable, and legally defensible? We examine whether bias testing is genuine, whether outputs are auditable, and whether the organisation is prepared to be held accountable for AI decisions.
DIM 04
Is there real accountability, or just a policy document? We test whether AI governance structures are active — with genuine authority to pause, redirect, or shut down AI deployments when the evidence demands it.
DIM 05
Can your organisation actually use what it's building? We assess whether the workforce has the skills, confidence, and support to work effectively alongside AI — and whether adoption is being tracked honestly.
DIM 06
Is the value being measured, owned, and delivered? We examine whether AI benefits are defined before deployment, tracked after launch, and reported to the board in a way that distinguishes genuine value from activity metrics.
The Process
A five-step engagement that respects your team's time whilst still getting to the truth. The output is a scored Authority Asset — designed to be placed in front of a board or audit committee without further translation.
AI Landscape Briefing
You complete a structured pre-engagement questionnaire covering AI use cases, governance structures, data assets, and strategic objectives. We arrive informed.
Discovery Call
Scoping session with the commissioning stakeholder. We agree access, boundaries, and what a successful Board Briefing looks like for your specific context.
Active Fieldwork
Structured interviews across technical, operational, and leadership teams. Documentation review. We go beneath the stated strategy to what is actually deployed and how it is being governed.
Authority Asset
A scored, evidenced PDF report across all six dimensions. Written for board members and audit committees — not for the technical team. Findings, risks, and recommended actions in plain language.
Board Debrief
A structured readout with the commissioning stakeholder and — where appropriate — the board or risk committee directly. We stay in the room for the hard questions.
Who It's For
The AI Health Check is designed for the leaders who are accountable for AI — but who are not building it.
The COO / CTO
You've committed budget and leadership attention to AI. The demos look promising. But you need independent evidence that the governance, data, and capability foundations are solid enough to deliver at scale — before the board asks.
The NED / Risk Committee Chair
You're being asked to hold the organisation to account on AI risk. But your information comes from the same people building the systems. An independent Health Check gives you an evidence base that hasn't been curated for reassurance.
The Chief Risk Officer
Regulatory scrutiny of AI is increasing. You need to demonstrate that your organisation has assessed its AI programme independently, identified the risks, and has a credible plan. This is that plan's starting point.
Next Step
A 45-minute Discovery Call is all it takes to scope the engagement. Or download the Board Briefing Paper to see the questions we ask — and why they matter.