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AgentOps Retainer

AI workflows need operations, not just launch day.

Once an AI workflow is live, the work shifts from building to operating: monitoring, evaluating, tuning, expanding, reviewing exceptions, and communicating results.

Discuss AgentOps Support

Monthly scorecard review

Part of the operating cadence for bounded AI workflows after launch.

Exception analysis

Part of the operating cadence for bounded AI workflows after launch.

Evaluation refresh

Part of the operating cadence for bounded AI workflows after launch.

Workflow tuning

Part of the operating cadence for bounded AI workflows after launch.

Stakeholder reporting

Part of the operating cadence for bounded AI workflows after launch.

Small workflow expansions

Part of the operating cadence for bounded AI workflows after launch.

Incident review

Part of the operating cadence for bounded AI workflows after launch.

Documentation updates

Part of the operating cadence for bounded AI workflows after launch.

AgentOps fits when the workflow is live enough to operate.

Good fit when

A bounded workflow is live or about to launch.
There are recurring exceptions, overrides, or stakeholder questions.
The team needs a monthly scorecard and operating cadence.
Expansion decisions should be evidence-backed.

Not a fit when

There is no live or near-live AI workflow.
No one owns incident review or exception triage.
The team wants set-and-forget automation.
Logs, review decisions, and workflow data are unavailable.

FAQ

Common buyer questions.

What happens after an AI workflow goes live?

The work shifts to operations: scorecard review, exception analysis, evaluation refresh, workflow tuning, incident review, documentation updates, and stakeholder reporting.

Is AgentOps only for systems Verdify built?

No. Verdify can help operate or improve existing AI workflows if the team can provide enough access to logs, source systems, workflow owners, and review data.

When should a workflow expand?

Expansion should happen only when the scorecard, exception review, and known-limits backlog support a larger action boundary.