AI Assurance
Review the evidence supporting continued use as agent behaviour, dependencies and operating conditions change.
Book a 30 minute readiness callKeep deployment decisions grounded in evidence.
Illustrative working format
Review the evidence supporting continued use as agent behaviour, dependencies and operating conditions change. Begin with an agreed workflow, accountable owner and representative evidence. The engagement defines its coverage, dependencies and decision criteria before work starts.
The Agent Release Readiness Review is a fixed-scope, three-week independent test of one AI agent workflow that shows a release board what the agent does, what it is allowed to do and what happens when it is wrong, and ends in a signed recommendation.
Examine what your agent remembers, when it retrieves it and whose information it can expose—in the deployment where it actually works.
Keep evidence aligned with change. Define recurring checks for the models, prompts, tools and workflows your agents depend on.
Review the evidence needed to operate a specific agent workflow, from release criteria to monitoring, escalation and rollback.
Explore sustained technical and organisational support for transformation programmes.
Design the context, tools, state and control paths behind agent workflows.
Examine drift, accumulated state and recovery across long-running agent workflows.
Connect intended agent behaviour to test cases, traces and release criteria.
Isolate failures in memory, retrieval, context and orchestration within a deployment.
Examine how adversarial inputs, tools and dependencies can change agent behaviour.
Define who an agent acts for, which permissions it receives and how authority ends.
Examine data flows, retention, access boundaries and privacy requirements in context.
A little more clarity
Start with the questions that shape a better decision.
Review the evidence supporting continued use as agent behaviour, dependencies and operating conditions change. Indicative focus areas include evidence review, change assessment, continued suitability.
Review the evidence supporting continued use as agent behaviour, dependencies and operating conditions change. Begin with an agreed workflow, accountable owner and representative evidence. The engagement defines its coverage, dependencies and decision criteria before work starts.
Keep deployment decisions grounded in evidence. Findings and indicative outputs apply to the agreed scope. Your accountable owner retains deployment, investment and risk decisions.
Bring the workflow, the constraints and the evidence you already have.