How to Marry Process Management and AI

3 key takeaways from the article

1. Process management goal is to understand how a sequence of tasks fit together to create a specified outcome and then to make improvements. It can be applied at multiple levels—to work performed by individuals or by a small group, key activities within a department, or end-to-end processes that cross the entire organization and even company boundaries.
2. Done correctly, process management is extremely effective. But it can be difficult to implement on a large scale—even with a boost from artificial intelligence. AI supports narrow tasks or subprocesses, rather than end-to-end processes, so organizations must string together multiple AI use cases to improve an entire process. 
3. A new approach with the following steps to process thinking can help reverse this situation:  establish ownership, identify process customers, map out the existing process, establish process-performance measures and targets, consider process enablers, redesign the process, and implement and monitor the process.

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Topics:  Decision-making, Process Improvement, Technology, Artificial Intelligence