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Custom AI & integrations

What a useful custom AI handover should contain

A project is easier to own when the team understands how it runs and how it fails.

Jolpai editorial · · 1 min read

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Document the business behavior

Describe the supported tasks, the inputs and outputs, and which actions need approval. A handover should explain the process in language the operating team understands. Include the cases the system deliberately does not handle so staff do not assume that an impressive demonstration means unrestricted capability.

Make ownership practical

Identify who manages accounts, permissions, usage costs and source content. Store credentials through an agreed secure mechanism rather than in a guide or shared message. Confirm how the business can access its code, configuration and deployment environment according to the project agreement.

Include a recovery guide

Write short instructions for common failures: unavailable integrations, missing information and unexpected outputs. Give each issue an escalation route and explain what can be safely retried. A person should be able to tell whether a task is pending, completed or requires investigation without guessing.

Agree on life after launch

Set out the support scope, monitoring responsibilities and approach to future changes. Keep a representative evaluation set so that a model, prompt or integration update can be assessed before release. The final handover should make the system understandable and maintainable, not merely demonstrate that it worked once.

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