Agentic AI architectures operate as autonomous coordinators that interact with business systems. They also enable operator-driven customization and define which critical decisions require human validation, according to Xylem Vue They facilitate gradual adoption, starting with advisory systems and increasing automation as trust and organizational maturity grow They enable operators to express their needs in natural language, as the large language models (LLMs) underlying them are trained to understand and generate human language, unlike traditional software systems July 20, 2026. The application of artificial intelligence to water processes and services is…
Read MoreHuman-AI integration is redefining digital water management operations
