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Celonis Chief Scientist for Enterprise AI Devavrat Shah proposed the view of "decision intelligence," arguing that enterprise AI needs operational context to achieve decision intelligence. He pointed out that AI agents must understand the role and constraints of each task within business processes; otherwise they will miss key constraints, make mistakes, or consume excessive compute. He suggested that enterprises start with specific business decisions, first identify the hardest links, then test whether AI can improve them, and use speed and value gains to judge whether expansion is worthwhile. Currently this view is reported by MIT Tech Review, and there are no subsequent development facts.
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Oct 22
MIT Tech Review
Celonis Chief Scientist Devavrat Shah on why enterprise AI needs context awareness
Devavrat Shah, Chief Scientist for Enterprise AI at Celonis, proposes "decision intelligence," arguing that AI agents must understand the role and constraints of each task within a business process, otherwise they will miss key limitations, make mistakes, or consume too much compute. He suggests that enterprises start with specific business decisions, first identify the hardest steps, then test whether AI can improve them, and use speed and value gains to judge whether expansion is worthwhile.