Building Context-Aware AI: A New Paradigm for Enterprise Decision Intelligence
Celonis Chief Scientist Devavrat Shah argues that enterprise AI must be embedded in real-world business contexts—such as workflows, role-based permissions, and process constraints—in order to achieve “decision intelligence”; AI divorced from context is prone to errors, resource waste, or ineffective outputs. His technical approach relies on a “context layer” and a digital twin architecture, emphasizing incremental validation, role-based governance, and workforce empowerment. However, all these claims are subjective assertions and have not been independently verified.