Extractive summaries and key takeaways from the articles carefully curated from TOP TEN BUSINESS MAGAZINES to promote informed business decision-making | Since 2017 | Week 379 | December 13-19, 2024 | Archive
How to Marry Process Management and AI
By Thomas H. Davenport and Thomas C. Redman | Harvard Business Review Magazine | January–February 2025 Issue
3 key takeaways from the article
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.
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.
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.
