NEWS · COMPANIES · #2404
Celonis chief scientist urges context-aware "decision intelligence" for enterprise AI
Devavrat Shah, chief scientist of enterprise AI at Celonis, argues that enterprise AI and agents must be connected to operational processes and data to provide useful, constrained recommendations. He recommends starting with specific business decisions, measuring speed and value gains, and investing in workforce education so employees can understand and appropriately act on AI outputs.
KEY POINTS
- Devavrat Shah, chief scientist of enterprise AI at Celonis, argues that enterprise AI and agents must be connected to operational processes and data to provide useful, constrained recommendations.
- He recommends starting with specific business decisions, measuring speed and value gains, and investing in workforce education so employees can understand and appropriately act on AI outputs.
- Operational context lets AI agents respect constraints and roles within business processes, improving decision quality and making scaling more likely to deliver measurable value.
WHY IT MATTERS
Operational context lets AI agents respect constraints and roles within business processes, improving decision quality and making scaling more likely to deliver measurable value.