What to automate with AI—and what to keep human
A practical risk-based framework for small teams adopting AI without handing over judgment, money or customer trust.
Choose the task, not the trend
Start with a recurring workflow that has a clear input, output, owner and measurable result.
Begin with low-risk preparation
Drafting, summarizing, classifying and flagging missing records are useful when the reviewer can still inspect the source.
Add gates where consequences grow
Require explicit review before spending money, changing permissions, publishing claims, deleting records or contacting customers.
Design for failure
Keep retry limits, audit context and a manual fallback. A generated status message is not proof that an external action succeeded.
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