AI Governance Diagnostic · United Kingdom
AI is operating inside UK organisations faster than governance teams can keep up. Most cannot answer three questions.
Where is AI operating in your workflows?
What decisions is it taking independently?
How are those decisions controlled and evidenced?
That gap is now a liability.
What CLEARANCE Delivers
A structured governance model. Same inputs. Same findings. Every time. No consultant interpretation.
Executive Summary, Risk Translations, Remediation Roadmap, Architecture Mapping, and DPIA Alignment.
Delivered in days, not months. No platform. No integration. No ongoing contract.
Financial Services, Healthcare, Legal, and Recruitment and HR. The engine evaluates your decision flow.
Why It Matters
When challenged, it is not the system that is accountable — it is the organisation, and the individuals responsible for it.
Regulators are aligned on one point. You must be able to evidence control of AI decisions, not just describe them. The FCA, ICO, CMA and DRCF have all issued guidance. Self-assessment is the only path. Most organisations cannot produce evidence an external party will accept.
CLEARANCE gives you the evidence you will be asked for.
Sector Coverage
The Diagnostic
It is an evidence-producing governance diagnostic built from cross-regulatory analysis — ICO, FCA, CMA, DRCF — and mapped to real agentic workflows.
The intake captures where AI is operating inside your organisation — workflows, decision points, autonomy boundaries, data flows. You complete the form. We resolve any ambiguities on a short verification call before the engine runs.
Your intake is run against a fixed-scope governance model. No maturity scoring. No opinion. The same inputs always produce the same outputs. The engine evaluates your deployment against structural governance gaps — every finding maps to a named regulatory obligation.
You receive a five-section written report designed to be challenged and to stand up — to your board, your insurer, or your regulator. Delivered within five working days of a verified intake.
The Report
Board-ready overview of governance posture and findings.
Each gap in plain English. Regulatory, operational, and reputational consequence.
Prioritised actions: immediate, 30-day, 90-day. Named owner per sector.
Three-plane governance diagnosis. Decision, Governance, and Verification planes.
Data protection impact assessment mapped to UK GDPR obligations. ICO-aligned.
Built For
Mid-market or SME. Regulated sector. No internal AI governance resource.
Deploying AI in hiring, legal, advisory, risk or operational workflows.
Asked to evidence governance to a regulator, insurer or enterprise client.
Deployment is live or in active pilot. Decisions are already being made.
Scope Boundary
We do not build or fix your AI systems.
We do not provide legal advice.
We do not offer ongoing retainers or advisory relationships.
We do not consult beyond the fixed scope of one engagement.
One engagement. One report. One outcome: evidence.
About
AI is making decisions inside organisations faster than those organisations can evidence control. CLEARANCE fills that gap.
There is no single rulebook. Four UK regulators have issued guidance. Self-assessment is the only path — and most SMEs cannot produce evidence an external party will accept.
CLEARANCE is a fixed-scope, deterministic diagnostic that produces a repeatable, defensible governance artefact in days. Not months. Not a retainer. One engagement, one report, one outcome.
The Founder
I spent twenty-three years watching organisations document how their systems were supposed to work. When I started looking at agentic AI, I saw the same problem at scale.
CLEARANCE is what I built to fix that.
I am a systems analyst by training. My background is operational — retail, financial services and government — across business analysis, process modelling and requirements definition. The work was always the same: understand how systems behave under pressure, not how they are documented.
The gap library and governance architecture were built from first principles and verified against a certified test suite. Engagements are limited and scoped — not open-ended.
Contact
Intro calls and early-stage engagements. No sales process. A direct conversation about whether CLEARANCE is the right fit.
CLEARANCE evaluates governance structure only. It does not assess AI model performance, output accuracy, or system safety. The report identifies structural governance gaps — it does not determine whether a regulatory breach has occurred.
Sample Finding
One gap. One citation. One consequence. One required action. Every finding in a CLEARANCE report follows this structure — deterministic, named, and defensible.
Regulatory Citation
What This Means
The FCA expects every material AI activity to be owned by a named Senior Manager in their Statement of Responsibilities. No AI system making client-facing financial decisions should be unowned. The absence of a named owner is evidenced from your own governance documents. The FCA does not need to observe a failure. The gap exists and is provable the moment a supervision visit begins.
Required Action
Update the relevant Statement of Responsibilities immediately. Name the accountable Senior Manager. Document the oversight protocol. Add AI systems to the Management Responsibilities Map.
This is not a consultant's opinion. It is a deterministic finding derived from your intake. Every finding maps to the obligation that created it.
CLEARANCE does not produce recommendations. It produces findings — each one tied to a specific regulatory obligation, a specific control that is absent, and a specific action that closes it permanently.
The same intake always produces the same findings. No consultant interpretation. No subjectivity. If a gap fires, the trigger condition was met — evidenced from what your organisation told us about its own system.
A full engagement covers multiple sectors and produces findings across five governance layers. Every finding is structured this way. The report is designed to be handed to a board, an insurer, or a regulator without further explanation.