Intelligent automation
What is Intelligent automation?
Automation that pairs rule-based tools like RPA with AI, so it can deal with messy input and decisions, not only fixed steps. Plain RPA follows a script. Intelligent automation reads a document, weighs it and routes it. IBM frames it as RPA plus AI plus process management working as one system.
Why it matters
Plain rule-based automation is brittle in a way that caps how much of a business it can ever cover. It works only while every input arrives exactly as the script expects, so the moment a document turns up in an odd format or a case has an exception, it breaks or kicks the work to a person. That is the reason so much back-office work stayed manual through years of automation projects: the rules could not survive messy reality. Adding a layer that reads, interprets and decides pushes automation into that messy middle, the large share of work that is routine in spirit but variable in detail, at the price of a system now making judgment calls that has to be watched more closely than a rule engine ever did.
In practice
An insurer’s old system could process a claim only if every field arrived just as expected, so anything unusual landed in a human queue that never shrank. The intelligent version reads the attached documents, handles the common variations itself and routes only the genuinely odd cases onward. The queue drops sharply, and the staff left on it are working the hard exceptions rather than the format quirks.
