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Automating important yet manually intensive tasks lies at the core of Robotic Process Automation (RPA). Still, such tasks as processing countless thousands of documents remain one of the biggest automation challenges. Insurance claims, invoices, health records, receipts, bank statements, utility bills, and more - all require manual intervention to read, interpret, and process. It is slow, resource-intensive, and error prone.


It does sound like the kind of problem RPA is supposed to fix. Yet, automation of such complex and cognitive processes needs more than rules and templates – this needs artificial intelligence (AI).

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