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Celonis’s Devavrat Shah Argues Enterprise AI Agents Need Operational Context

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Devavrat Shah, chief scientist of enterprise AI at Celonis, argues that companies need to connect AI agents to business processes and data so they can support tasks within larger business decisions. Shah says that operational context can help agents understand workflows, follow guardrails, and produce recommendations for people to review. He recommends starting with a specific business decision, testing its hardest steps, and measuring improvements in speed and value before expanding the use of agents.

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Latest development10/22 18:00 (UTC+8)
Making the Case for Context-Aware Enterprise AIMIT Technology Review · AI

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10/22
  1. MIT Technology Review · AI
    Making the Case for Context-Aware Enterprise AI

    Devavrat Shah, chief scientist of enterprise AI at Celonis, argues that AI agents need operational context to support tasks within larger business decisions. Connecting AI to enterprise processes and data can help agents understand workflows, follow guardrails, and produce recommendations for people to review. Shah recommends starting with a specific business decision, testing its hardest steps, and measuring gains in speed and value before scaling.

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