Context-Aware AI Key to Scaling Enterprise AI Adoption
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As enterprises move AI from experimentation to large-scale deployment, providing AI systems with business context is critical. MIT Technology Review reports that Devavrat Shah emphasizes AI agents must understand roles and constraints within business processes to avoid costly mistakes and wasted compute resources. Without this context, AI systems risk overlooking important limitations and making errors in complex operational environments.
Written with AI from the reporting · updated 10/22/2026
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企业AI从实验走向规模化的关键：必须给技术‘背景’
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- Oct 22, 19:07
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- MIT Technology Review · AIRelated fact: single sourceFact occurrence time unverifiedCelonis's Devavrat Shah argues context is key for enterprise AI decision intelligence
Report first recorded Oct 22, 19:07
Enterprise AI needs operational context to move from experimentation to everyday operations, according to Devavrat Shah, chief scientist of enterprise AI at Celonis. Without understanding business constraints and processes, AI agents risk costly mistakes or excessive resource consumption. The solution involves connecting AI to existing enterprise data and processes, allowing agents to operate within defined guardrails. Shah advises starting with a specific business decision to measure gains in speed and value, noting this could free employees for strategic work, provided there is investment in workforce education.
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