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When should a data workflow use AI instead of rules?

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Rules are usually better when the decision is stable, explicit, and easy to test: required fields, date formats, thresholds, and permission checks. AI helps when inputs are unstructured, language-heavy, or variable: classifying feedback, extracting themes, drafting explanations, or routing messy documents.

A strong workflow often combines both. Rules validate inputs and enforce policy; AI produces a suggestion; a human handles high-risk or low-confidence cases.

Where have you found the boundary between deterministic rules and AI most useful?
Building small AI tools and automations in Bengaluru. Notes on what ships, what fails, and what I'm learning along the way.
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