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Launch Readiness Checklist
Know what must be true before AI moves forward.
A serious AI launch is a staged decision. This checklist helps teams separate a working proof from the evidence, ownership, support, and approval work needed for the next step.
Guide section
Evidence and scope
Start by naming what the proof actually demonstrates, what remains sandboxed, and which stage is being considered next.
- Workflow scope and intended users
- Screenshots, browser proof, and test summaries
- Known limits and blocked live actions
- Next-stage promotion target
Guide section
Owners and operations
Assign the people who will own the workflow after launch, including support, security, data, compliance-aware review, and business operations.
- Owner and escalation map
- Support and incident runbook
- Training packet and knowledge check
- Daily or weekly operating rhythm
Guide section
Go, no-go, and rollback
A launch decision should include acceptance criteria, blocker review, rollback ownership, and written signoff for the selected stage.
- Go/no-go control sheet
- Rollback and recovery plan
- Monitoring and alert route
- Final reviewer signoff
Interactive resource
Use the guide while you read.
These local controls turn the same resource into a checklist, scorecard, or planning board. Nothing is submitted, stored, or sent to a model.
Checklist group
Evidence and scope
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Checklist group
Owners and operations
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Checklist group
Go, no-go, and rollback
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Start here
Turn the guide into a first proof.
The best next step is a narrow workflow, visible evidence, and a plan your team can explain.