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How to scope your first AI automation project

April 14, 20266 min read

A practical framework for moving from broad AI excitement to a buildable project with clean boundaries.

Strong automation projects begin with a business bottleneck, not a tool preference. Before choosing Make, Zapier, OpenAI, or a chatbot platform, write down the exact handoff that creates delay, rework, or missed revenue.

A useful first scope usually has one trigger, one accountable owner, and one measurable outcome. If a workflow includes five departments and three sensitive decision points, it is probably a roadmap item rather than a pilot.

Document the happy path, the exception path, and the human approval point. This keeps AI useful without asking it to make judgments the business has not defined.

End the scope with launch criteria. Name the tools, data sources, failure alerts, QA steps, and success metric before build work begins.

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