Implementation is part of the offer
Early work includes discovery, configuration, integration, review design, and close observation. That involvement is how the service stays grounded in the customer’s operating reality.
Repeated work creates a clearer product
As patterns recur, the operating method can become more standardised. The goal is an increasingly productised operating platform, built from real work rather than abstract claims.
Do not hide the relationship
A managed service is not a self-serve tool waiting for a customer to figure it out. The customer should know who is responsible for the workflow as it changes.
Worked example: an exception-heavy reporting loop
Two teams may use the same reporting template but have different definitions and approval paths. Observe the real handoff, identify who resolves conflicting inputs, and agree what happens when a source is late before turning the process into a repeatable deployment.
What a managed engagement should clarify
Ask who monitors the workflow, handles a broken integration, reviews changes, and communicates incidents. Document the boundary between the customer’s decisions and the operator’s responsibilities. Ongoing ownership should be explicit in the agreed scope.
Expand from evidence
Reuse a proven component only after checking the new team’s permissions, inputs, and exception rules. Similar-looking work is not automatically the same workflow. Expansion should retain a named owner and its own acceptance criteria.
Put the guide into practice
Understand the managed AI service, or explore the workflow pilot examples to find a scope your team can assess.