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Managed AI service

The ongoing tier, not the starting point: operating a workflow that's already proved its value, so it keeps running without needing you to watch it.

What it is

A separately scoped build and operation: monitoring, support and continuous improvement for a defined, recurring workflow. Not a new project from scratch, an ongoing arrangement to keep something that already works, working.

What it needs before it makes sense

Managed AI service suits a workflow that has already proved its value through a Focused Implementation engagement, not a new, untested idea. Specifically, it needs a clear trigger and desired result, a trusted source of truth, defined action boundaries, human approval on consequential actions, a responsible owner, and an escalation route, with monitoring and refinement once it's live.

How you get there

Usually, it's the next step after a workflow has been built and proved through the AI Concierge retainer: a working call each month establishes the pattern, and once it's reliable, operating it becomes its own separately scoped arrangement. It can also be scoped directly where the need is already obvious, without waiting for a Focused Implementation engagement first.

Not sure whether a workflow is ready for this yet?

Workflow readiness check

Is a recurring workflow ready for managed support?

Does the work follow a recognisable pattern?
Are the sources, owner and approval points clear?