Making the case for context-aware AI

Share

Devavrat Shah, chief scientist of enterprise AI at Celonis, discusses how AI agents require operational context to make effective business decisions, arguing that without understanding workflows and constraints, AI systems waste computational resources and risk costly errors. Shah proposes connecting AI to existing enterprise processes through a context layer that enables agents to operate within defined guardrails while supporting human decision-making across repetitive tasks, coordination work, and strategic planning.


Source: MIT Technology Review

Read more