Uli Erxleben, Founder and CEO, Hypatos.ai, has written a book about agentic process automation (APA) systems that enable AI to run business operations while humans make decisions. These systems are designed to execute predefined workflows but also reason through problems, adapt to changing conditions, and make contextual decisions. APA agents execute tasks, understand context, anticipate needs, collaborate with other systems and humans, and evolve their capabilities over time. Unlike robotic process (RPA) systems, APA is designed for complex, end-to-end business processes and can provide an end to-end automation by identifying, extracting, validating and matching transaction data between entities while simultaneously detecting discrepancies and initiating resolution protocols. The book also discusses the transformation of robotic process automation into an advanced form of business process automation that employs AI-powered agents. It suggests that APA can reduce processing costs and error rates while enabling real process systems to deliver real process outcomes.
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