Business accuracy
Representative business scenarios, edge cases, and evidence or citation quality against the outputs your users need.
AI Production Readiness & Evaluation
Evaluate an AI agent or workflow against your business-specific requirements before wider deployment. Make the go-live decision with evidence about accuracy, security, control and reliability.
A successful demo is a starting point. The review considers how the system handles representative work, uncertainty and failure within its intended operating boundaries.
Representative business scenarios, edge cases, and evidence or citation quality against the outputs your users need.
Permissions, prohibited actions, human approval boundaries, escalation paths and the responsibilities attached to consequential actions.
Failure handling, fallback behavior, logging and traceability so your team can understand results and respond when something goes wrong.
Customer-specific acceptance criteria, unresolved limitations and remediation guidance to support an accountable deployment decision.
An executive summary and evidence-backed findings tied to your agreed requirements, including material limitations and unresolved risks.
Prioritized actions, responsible owners to confirm, and the evidence needed for a follow-up readiness review.
Best suited to teams moving an AI system from pilot to production, expanding its access or actions, or making a material change. The review supports a bounded decision; it does not guarantee error-free future behavior.
Bring the intended use, current deployment stage and the decision you need to make. We will agree the review scope and required evidence before work begins.
Use our existing scoping calendar or email James. Mention production readiness when booking; the shared calendar is currently labeled Security Audit Scoping Call.