Agentic AI architectures operate as autonomous coordinators that interact with business systems. They also enable operator-driven customization and definewhich 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

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