Before you deploy AI, can you prove it's ready?
One fixed-rules assessment. One qualification verdict. Same inputs, same verdict, every time.
"Named accountable owner confirmed. Deployment exposure and control signals are within the qualified range." QUALIFIED WITH CONDITIONS · three mandatory actions before full qualification.
Not a personal opinion about your AI. A fixed-rules verdict, built on twenty-plus years of governance methodology.
The credential behind AQE isn't a platform certification. It's twenty-plus years applying rules-based governance methodology across regulated sectors, built into a fixed rules engine, not a consulting judgement that shifts by reviewer.
“Trust our judgement on your AI deployment.”
- That's a claim built on opinion, and opinions vary by reviewer.
- Not what a fixed rules engine actually depends on.
Twenty-plus years of governance methodology, built into a fixed set of rules.
- Applied across financial services, government and healthcare for two decades.
- Built and tested: 526 automated tests behind the rules engine.
- UK, US, Charity and NHS jurisdictions supported.
Same input. Same verdict. Every time.
Ask a general AI chat tool the same readiness question twice and you can get two different answers. Different wording, different confidence, sometimes a different conclusion. AQE checks your answers against a fixed set of qualification rules, not a model writing fresh text each time. Try it below.
Same question, asked three different ways by a general AI chat tool. All three sound plausible. None cites a fixed rule, none is reproducible, and none would survive being handed to a board. An AQE finding is a lookup against fixed thresholds. It comes back the same, with the evidence behind it, every time.
This is what one dimension of a real certificate looks like.
Evidence: Q1–Q5, threshold for PASS is 7
- Data assets are partially identified. Gaps in coverage will limit AI scope.
- Mix of structured and unstructured data. Structuring effort needed for target use cases.
- Data quality is inconsistent. Monitoring and validation required before AI deployment.
Required before full qualification: complete the data asset inventory, close the lineage gaps identified, establish routine data quality monitoring.
Qualification impact: qualification constrained.
This is not a maturity score with no explanation attached. Every finding traces back to specific answered questions against a fixed threshold, and every dimension carries its own remediation, not a generic checklist repeated five times.
Organisational readiness, not model capability.
These aren't weighted equally by chance. Fifty-two percent of organisations cite data quality as their primary blocker to deploying agentic AI, more than governance, tooling or process combined. It's the dimension most deployments actually fail on, not one check among five.
Three steps from intake to certificate.
Complete the assessment
Twenty-four structured questions across five dimensions, plus who's accountable and how the deployment operates. About ten minutes. No technical documentation required.
The engine runs
A fixed rules engine, not a model, scores each dimension and checks named-owner and governance conditions against the qualification rules. Same inputs always produce the same verdict.
Certificate delivered
A Qualification Certificate and supporting Evidence Book, delivered within minutes: the verdict, the reasoning, the conditions, and every scored answer behind it.
A fixed-scope qualification decision.
- Fixed-rules verdict. Same inputs, same result, every time.
- A Governance override rule, not just a score: a serious governance gap can block qualification outright regardless of everything else.
- Certificate delivered within minutes. No follow-up call required.
- Reusable before every new AI deployment you scope.
Not advice. Not a build partner.
- We do not provide legal advice.
- We do not build or fix the AI system for you.
- We do not offer retainers or ongoing consulting.
- We do not monitor a deployment once it's live. That's a different problem.
Three ways to find out if you're ready.
| AQE | Ask a general AI chat tool | Skip the check, build anyway | |
|---|---|---|---|
| Time to result | Minutes, same day | Instant, but unverified | None. The gap surfaces later, at cost |
| Consistency | Same input produces the same verdict, every run | Wording and conclusions can shift between runs | No answer to compare against |
| Evidence trail | Full Evidence Book, every question and score | No audit trail behind the answer | None, discovered under scrutiny instead |
| Governance override | A serious governance gap blocks qualification outright | No mechanism to catch this | Found by a regulator or the delivery team, not you |
| Cost if wrong | One fixed fee, shown before you pay | Free, but nothing to show for it if challenged | A failed or reworked deployment |
Before you start.
Now offering 10 free qualification certificates for founding users this month.
No card required. If it's useful, we'll ask permission to feature you as a founding reference. Never a condition of taking part.
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