AI-assisted workflows that classify, route and act on data automatically.
Intelligent process automation combines rule-based workflow automation with AI capabilities — such as document classification or data extraction — to handle work that a purely rule-based system cannot manage on its own.
Standard business process automation works well for predictable, structured steps. Intelligent process automation extends that to less structured inputs — a scanned document, a free-text form, an email — by adding an AI step that classifies or extracts the relevant data before the rest of the workflow runs as usual.
We treat the AI component as one stage in a larger, auditable workflow, not a black box making unsupervised decisions. Low-confidence cases are routed to a person for review, so the automation speeds up the common cases without silently mishandling the edge cases.
This is typically layered on top of an existing or new business process automation build — the AI step handles the part that used to require someone to read and interpret a document or form before the rest of the process could continue.
It is business process automation extended with AI — typically document classification or data extraction — so workflows can handle less structured inputs like scanned documents or free-text forms automatically.
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