US$11
Buy now You've been handed an AI agent and told to make it work in production. Now what? This playbook gives operations managers and team leads a structured path from 'agent exists' to 'agent is live, monitored, and recoverable' – without requiring ML expertise or starting from scratch. You'll know what to verify before a single live transaction runs, who needs to sign off and how to get them on record, how to sequence the rollout to limit risk, and exactly what to watch during the first 30 days. If something goes wrong, you'll have a trigger checklist and a step-by-step reversion guide ready before you need it.
What's included
- A pre-deployment readiness checklist covering workflow fit, data access, permissions, fallback logic, and human override capability – structured as a gate review you complete before go-live
- A stakeholder sign-off protocol that walks you through a lightweight approval process, identifying who needs to be on record and how to run the sign-off without turning it into a committee
- A three-stage phased go-live sequence – shadow mode, limited rollout, full production – with defined criteria for moving between stages and limiting blast radius at each step
- A rollback procedure section with a trigger condition checklist, an escalation decision tree, and a step-by-step reversion guide so you know exactly when and how to pull the agent from production
- A first-30-days monitoring cadence that tells you what to track, when to review it, and how to interpret early signals after the agent is live
- A foundational section on understanding what you're actually deploying – covering the key things ops managers need to know about an agent before taking ownership of it
Format PDF
Published Sep 5, 2026
