What an AI pilot needs before production
A practical release checklist for system access, evaluations, human approvals and operational ownership.
Define the workflow, not just the demo.
Write down the trigger, inputs, decisions, actions and accountable owner. A useful pilot may answer a question correctly while still lacking the permissions, exception handling and integrations required to finish the work. Review each handoff with the people who currently run it.
Evaluate the cases that can break it.
Use representative examples, incomplete inputs and known exceptions. Agree what constitutes an acceptable result, what requires review and what must be refused. Record a baseline from the current process. A single accuracy number does not explain whether the workflow is safe to release.
Separate capability from authority.
List the tools an agent can call and the effect of each action. Reading a document, changing a record and sending a message require different boundaries. Define approval rules for consequential actions, then test that those rules still apply when inputs are ambiguous or instructions conflict.
Give production an owner.
Before release, agree monitoring, escalation, rollback, model-change evaluation and integration maintenance. Name the team that receives alerts and the person who can stop the workflow. Start with a controlled rollout and expand only when the operating evidence supports it.
Put the next decision to work.
ANY 30 defines the first production workflow. ANY Run defines how it is operated afterward.
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