AI operations
AgentOps: What Happens After the AI Workflow Goes Live
May 19, 2026
Launch day is not the end of an AI workflow. It is the point where the work changes from build mode to operations.
That operating layer is AgentOps: the cadence for monitoring, reviewing, tuning, documenting, and expanding AI workflows after they are live.
What AgentOps covers
An AgentOps cadence should include:
- scorecard review;
- exception analysis;
- evaluator and test-case refresh;
- prompt or workflow tuning;
- incident review;
- stakeholder reporting;
- documentation updates;
- action-boundary changes;
- roadmap prioritization.
The point is not to keep tweaking forever. The point is to know whether the workflow is still useful, bounded, and worth expanding.
What changes after launch
Before launch, the team asks whether the workflow can work. After launch, the team asks whether it is working under real operating conditions.
That means reviewer behavior, source-data quality, edge cases, drift, policy changes, and exception volume matter as much as model quality.
See the AgentOps Retainer and the AI Operations Scorecard for the operating model.