Intelligent automation is the combination of process automation with artificial intelligence so that workflows can handle unstructured inputs, make context-dependent decisions, and adapt over time. It extends rule-based robotic process automation with machine learning, natural language processing, and computer vision to automate tasks that previously required human judgement. It is widely applied to back-office operations, customer service, and document-intensive processes.
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- A typical stack layers document understanding, NLP, and ML models on top of RPA bots and orchestration. The result automates end-to-end processes such as claims handling or invoice processing where inputs are variable and exceptions are common.