New Delhi, June 4 -- Artificial intelligence has moved well beyond the experimentation phase in enterprises. Organizations across industries have deployed copilots, AI assistants, automation tools, and generative AI applications. Yet despite rising investments, many companies continue to struggle to demonstrate measurable business outcomes.

Executives at Celonis believe the problem is not a lack of AI models or technology. Instead, they argue that most AI systems still lack the operational understanding required to function effectively inside complex enterprises.

Speaking to CIOL on the sidelines of Celonis Process Intelligence Days India, Eugenio Cassiano, SVP of Strategy & Innovation, and Gunther Rameseder, SVP of Global Value Enginee...