Automation needs an accountable operator
An AI Ops Retainer is for businesses with automations already in use that need defined monitoring, incident response, maintenance, reporting, and carefully controlled improvement. It is not a promise that every system is watched every minute; coverage and response expectations belong in the written scope.
Operational coverage
- Scheduled health checks for agreed workflows and their critical dependencies.
- Alert review, incident triage, and escalation according to defined severity and ownership.
- Investigation of failed runs, duplicate actions, vendor changes, revoked access, and degraded data quality.
- Maintenance of workflow documentation, dependency records, recovery instructions, and change history.
- Periodic review of reliability, exception patterns, operating measures, and support demand.
Changes and new work
Small improvements and new builds must be distinguished from break/fix maintenance. The retainer scope should state how requests are prioritized, what qualifies as an included change, when separate scoping is required, and who approves production changes.
Vendor and access changes
Third-party platforms change APIs, authentication, limits, pricing, and behavior. A useful operating plan records those dependencies and defines what happens when a vendor breaks or retires a feature. Credentials should be rotated and removed as people, vendors, or responsibilities change.
Reporting that supports decisions
A status report should separate reliability from business impact. Useful operational measures include successful and failed runs, exception count, mean time to acknowledge, mean time to recover, manual interventions, unresolved risks, and changes shipped. Business measures remain tied to the baseline defined for each workflow.
Offboarding
Offboarding should be possible without losing control of the system. It includes current documentation, ownership confirmation, credential removal, open incidents, vendor inventory, retention decisions, and a final operating handoff.
Review the security and data-handling approach, see how implementations are built, or request a discovery conversation about operating an existing automation stack.