Every engagement is designed to produce inspectable evidence before you rely on AI in a live process.
A focused conversation on the regulatory picture, where AI is already in use and where your exposure lies.
We audit the AI you already use, test whether a specific idea should go ahead, or inventory and classify AI use. Each ends with an agreed first use case and a willing process owner.
AAP runs alongside your existing process, assessing AI outputs without affecting live decisions, so you build evidence before you rely on it.
Validation completed through your QMS change control, with residual risk accepted by named approvers.
Each new use case is added by configuration through the same pipeline, which is why the second takes a fraction of the time.
Classified inventory and selected use case
Intended use statement, RACI, data sources, acceptance criteria
Content pack, rule set and tier mapping configured; testing executed against acceptance criteria
Live shadow operation with qualified reviewers; evidence pack presented to leadership
A platform subscription for AAP, plus scoped configuration and assurance setup for each use case. Advisory services are available on their own or alongside the platform. Pricing is shared after a briefing, once we understand your scope.
