Quick answer
Intelligent automation combines workflow rules with AI judgment — handling the predictable 80% automatically and flagging the ambiguous 20% for humans.
The three layers
Rules (deterministic workflows), AI (classification, drafting, extraction), and humans (exceptions, judgment, relationships).
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PM examples
Auto-triaging requests by content, drafting client updates from task data, extracting action items and routing them — each with a human gate.
Where it beats plain automation
Variability — when inputs differ every time, AI handles the interpretation that breaks rule-based flows.
Implementation order
Automate deterministic parts first, add AI where judgment is needed, keep humans on the edges.
Bottom line
Intelligent automation combines workflow rules with AI judgment — handling the predictable 80% automatically and flagging the ambiguous 20% for humans.
FAQ
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