Head - Intelligent Process Automation, BFS North America
Intelligent Process Automation (IPA) is a powerful approach to rapidly automate business processes and achieve key business goals like cost reduction, operational efficiency, and error reduction. It combines technologies like robotic process automation (RPA) with artificial intelligence/machine learning (AI/ML) technologies like optical character recognition (OCR) and natural language processing (NLP) to automate as many steps as possible in a business process workflow.
Popular IPA platforms like UIPath, Blue Prism, and Automation Anywhere enable rapid development and deployment of automated processes. Multiple organizations have piloted IPA programs and achieved key business objectives in less than a year.
Process mining is a data-driven approach to capturing information about a process and the variations in its workflows. The traditional method for capturing process automation information is usually done through process walkthrough sessions and interviews with operation teams.
Process mining works by extracting data from logs, database records, and other application data sources and automatically building maps representing all process variations. It can complement manually created process maps to provide a more comprehensive end-to-end view of a process. A process mining platform can also analyze process data to automatically calculate key KPIs and pinpoint improvement opportunities by elimination, optimization, or automation. It can also continuously monitor live processes and track progress in transformation initiatives.
Process mining can be applied at multiple stages of an IPA program. The two technologies enhance value across the automation lifecycle significantly.
Process mining can help build and improve the quality and efficiency of the RPA requirement capture and solution design process. The pre-automation stages include:
Process mining can help track the success criteria of automation progress and be used to improve the performance of support operations after the solution is live. The post-automation stages include:
Process mining is a powerful enabler of success in intelligent process programs. It can ensure that the right processes are automated and mitigate challenges commonly faced during an automation project's planning and implementation stages. It can also drive the effectiveness of post-automation governance and benefits realization.
Unlock the potential of process mining in your intelligent process automation initiatives and drive continuous success in your process transformation journey.
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