Can AI integrate and transform traditional enterprise business process management (BPM) approaches? What are the real potentials and implications of Intelligent Process Automation on traditional BPM? What impacts could be coming?
by Nicolas Chignardet, Head of Customer Success at Bonitasoft
Traditional business process management approaches include both methodology and technology. BPM methodology involves process mapping to eliminate redundancies and enable lifecycle management, including automation and maintenance. BPM tools such as process automation platforms and RPA (Robotic Process Automation) are employed to automate manual operations to optimize efficiency.
How does AI contribute to these BPM foundations? Can it give a new dimension to business process automation?
AI offers advanced analytical capabilities, forecasting, and continuous improvement. It does not revolutionize methodology, but it can provide more power and speed for analysis. On the technical side, AI can already integrate with existing technological components and boost automation of BPM-powered automated business processes. This combination is known as hyperautomation.
Here are some examples of applications where automation is complemented by the power of AI.
The current “state of the art” in AI is still evolutionary rather than revolutionary. Hyperautomation reduces costs, maximizes productivity, and generates a wealth of data from digitized processes that can subsequently be reused. As we move towards deeper integration of AI into business processes, we expect it will lead process designers to work with already processed and structured data, rather than raw material, resulting in significantly greater added value. As intelligent process automation moves towards mimicking human thought processes, we may see more tasks that could be entrusted to it, such as managing unstructured data, image recognition, voice recognition, and natural language processing.
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