CiterLabsPROJECT BUYER GUIDE
What belongs in an AI project handover?
A working demonstration is a milestone. A useful handover explains how the result is operated, reviewed and maintained.
Agree ownership and access in the scope
Identify which source files, deployment access and connected accounts are included. Keep credentials in an agreed secure handover channel rather than ordinary documentation. Do not assume a website description determines commercial ownership terms.
Document the operating sequence
Describe how to start the workflow, review an output, handle an exception and recover from a failed integration. Name the client owner for each routine task. Include limits that a future operator needs to understand.
Retain evaluation evidence
Keep the acceptance scenarios, known limitations and checks used to review the deliverable. For AI output, document how factual support or quality was assessed. A model experiment should include baseline comparisons and the boundaries of the findings.
Make maintenance visible
Connected tools, documents and model behavior can change. Agree who updates sources, checks failures and reviews changes before they reach production. Support needs and future work belong in a separate agreed scope rather than an implied unlimited commitment.
Prepare for changes and rollback
For deployed software, include deployment notes and an appropriate rollback reference. For an automation, explain how to pause consequential actions. For a content system, retain approved messaging and revision checkpoints.
A practical handover review
Ask the intended operator to walk through a representative task using the documentation. Record gaps and resolve them against the agreed scope. Handover should make responsibilities clear rather than create a new promise of ongoing support.
START A CONVERSATION
Turn a business problem
into a clear project.
Bring a task, a bottleneck, or a product idea. The first step is a clear scope.