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# Making the case for context-aware AI

**[MIT Technology Review](https://daily.dev/sources/technologyreview)** · 17 min read · 2 upvotes · 0 comments

## Summary

Enterprise AI agents need operational context to make good business decisions, says Devavrat Shah, chief scientist of enterprise AI at Celonis, in this sponsored podcast interview. Without context, agents can miss constraints, make costly mistakes, or burn excessive compute figuring things out. Shah recommends starting with one specific business decision, identifying its hardest step, testing AI there, and measuring speed and value gains before scaling. He sees future use cases spanning repetitive manual work, coordination tasks, and strategic support in finance, workforce planning, marketing, and sales.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.technologyreview.com/2026/10/22/1146812/making-the-case-for-context-aware-ai>

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Tags: [#ai](https://daily.dev/tags/ai), [#ai-agents](https://daily.dev/tags/ai-agents)

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