An AI workflow needs an operating plan, too.
Provide ongoing operating support for an agreed Human + Agent workflow, covering evaluation, knowledge maintenance, issue handling and service review under a defined monthly scope.
Discuss your scope →Outsource an operating process. Keep clear ownership.
Agree the workflow, Human + Agent responsibilities and operating boundaries. FDE engineering supports implementation and continuous improvement around the agreed process.
Discovery and transition planning shape a practical managed service. A defined monthly scope and SLA cover workload, service hours, acceptance checks, escalation and review.
Changes in workload or responsibilities follow an agreed scope review. Specific fees and service targets are confirmed for the engagement.Practical support.
Explicit responsibilities.
- 01Knowledge-source refresh and content validation
- 02Evaluation runs and regression checks for agreed scenarios
- 03Issue triage, monitoring review and incident coordination
- 04Usage, cost and improvement reporting
An internal assistant works well in a pilot but its knowledge changes. We define refresh ownership, evaluation cases and a clear route for unresolved answers.
What we agree before startingMonitoring coverage, support hours, response targets and model or cloud costs are agreed explicitly. A service plan does not imply uninterrupted availability or a blanket accuracy guarantee.
Add operating capacity.
Keep business control.
Delivery arrangements, support hours, languages, data access and approval responsibilities are defined for your project.
See our working approach →Start with one clear operating need.
Which applications are live, and who currently handles quality and failures?