Celonis chief scientist on context awareness in enterprise AI
What happened
On 22 October 2026, MIT Technology Review reported that Devavrat Shah, Celonis's chief scientist for enterprise AI, proposed the concept of "decision intelligence", arguing that enterprise AI agents must understand a task's role and constraints within business processes, or they will miss key limitations and cause costly errors or waste computing power. He suggests that companies start with specific business decisions, first identify the hardest parts, then test whether AI can improve them, and decide whether to scale based on gains in speed and value. The report also notes that this path requires investment in employee education so that staff understand AI output rather than simply handing over decision-making authority. This report is the latest development, with no follow-up coverage yet.
Written by AI from the reports · updated 3 h ago
Timeline
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- MIT Technology Review · AIMaking the case for context-aware AI
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one.
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