Handoff
The AI project handoff checklist
What buyers should receive before an AI prototype, agent or workflow is considered done.
By JirakJ
5 min read
This is the kind of problem that looks technical until someone draws the workflow. In plain language: the vendor says the project is done but the team cannot operate or improve it.
That sentence is already more useful than most AI roadmaps because it points at ownership, review and handoff.
Where teams get fooled
Teams get fooled when the demo works and the operating model is still missing. In this topic, the trap is simple: the vendor says the project is done but the team cannot operate or improve it.
The human part
Somebody still has to decide what matters, what is risky and what should be rejected. AI can accelerate the middle of the workflow, but it cannot own the judgment around it.
The practical move
Require operating notes, examples, risks, tests, owners and next improvements. This is the kind of step that feels too small until it saves two weeks of rework.
The evidence
I would not call this done without a AI handoff checklist. That is the evidence that the team has something it can run again.
The payoff
A handoff checklist protects the buyer from orphaned AI work. More importantly, the team learns how to repeat the pattern on the next workflow.
Monday morning checklist
- • Name the person who will judge quality after launch, then ask what they need to see.
- • Write down the artifact that would make the work reviewable: in this case, a AI handoff checklist.
- • Decide who owns the next version if the first version works.
- • Mark the part of the workflow where human judgment must stay visible.
If this sounds familiar
Start with one workflow. FlowMason AI can map it, identify the right intervention, and define whether the next step should be a prototype, agent, documentation pipeline or delivery system.
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