LAUNCH CHECKLIST
The accountable AI workflow launch checklist
A convincing demo is not a production release. This checklist keeps the operating rules, integrations, evaluation, human responsibility, and post-launch review visible.
8 minute read · Updated July 2026Diagnose the operation
Document the current path, bottleneck, volume, cost of delay, exceptions, and baseline before selecting tools.
- Current-state workflow
- Measurable target
- Representative edge cases
- Data and consent constraints
Design the controlled behavior
Define what the system may know, say, decide, and do. Pair every automated action with a source, rule, owner, and fallback.
- Approved knowledge
- Tool permissions
- Confidence and escalation rules
- Human override
Deploy through observable gates
Test realistic scenarios, limit the first release, and make failures visible. A launch gate should be a decision, not a date on a calendar.
- Scenario evaluation
- Integration verification
- Limited release
- Alerts and rollback path
Improve from real outcomes
Review conversations and operational outcomes on a defined cadence. Prioritize changes by business impact and recurring failure pattern.
- Outcome dashboard
- Quality review owner
- Change log
- Next release priority