A CTO’s checklist before an agent reaches production
Production readiness for an AI agent spans workflow requirements, system identity, evaluation, recovery and operations—not just a working model endpoint.
Review tools, workshop formats and research methods for leaders accountable for agentic AI decisions.
Production readiness for an AI agent spans workflow requirements, system identity, evaluation, recovery and operations—not just a working model endpoint.
A useful quarterly watchlist tracks changes that could alter real decisions: system authority, evidence, incidents, standards, providers and organisational readiness.
A useful tabletop follows one plausible agent failure through detection, containment, evidence, business recovery and accountable return to service.
Boards do not need to review prompts or model scores. They need a clear account of what each agent may do, whose mandate it carries and how control is recovered.
Reviewable agent decisions depend on a small chain of artefacts connecting workflow purpose, authority, configuration, evidence, findings, controls and ownership.
Product leaders need evaluation evidence that connects workflow outcomes, user experience and policy behaviour to a release choice—not a leaderboard score.
Responsible autonomy becomes concrete when a cross-functional team maps one workflow’s actions, consequences, evidence and intervention choices.
Tool-using agents join untrusted input, probabilistic decisions and privileged action. CISOs should govern that path as a security system, not a chatbot feature.
A durable agent benchmark needs a declared construct, protected cases, reproducible execution, uncertainty, governance and limits on the claims its scores can support.
Audit committees can oversee AI through ownership, control evidence, reporting integrity and assurance scope without turning meetings into model-architecture tutorials.
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Read the method, assumptions and questions to ask.