Celonis chief scientist: enterprise AI agents need operational context
What happened
MIT Technology Review reported on October 22 that Devavrat Shah, Celonis's chief scientist for enterprise AI, proposes "decision intelligence." He argues AI agents must understand a task's role and constraints within a business process, not execute it outside its operational context. He advises companies to start from a specific business decision, find its hardest step, test whether AI speeds it up and measure the value, then decide on scaling. Without operational context, he says, agents can miss constraints, make errors or burn too much compute. Enterprise AI rollouts also need staff education.
Written by AI from the coverage · updated 50 minutes ago
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- MIT Technology Review · AIMaking the case for context-aware AI
Celonis 企业 AI 首席科学家 Devavrat Shah 提出“决策智能”，主张 AI 智能体必须理解任务在业务流程中的角色与约束，而非在真空中执行。他建议企业从具体业务决策切入，找出最难的环节测试 AI 能否提速并衡量价值，再决定是否规模化。缺乏运营上下文会让智能体忽视约束、犯错或消耗过多算力，落地还需配套员工教育。
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