This guide explains how agentic AI transforms customer experience by automating complex tasks, combining data retrieval, reasoning, and action. It covers use cases like sales prospecting, personalized support, and supply chain optimization. Successful deployment requires accurate, governed data access, robust infrastructure, and clear governance. Ethical concerns, including bias and transparency, demand guardrails and human oversight. Snowflake’s platform enables secure retrieval and processing of structured and unstructured data to power AI agents. Industry examples show AI agents improving claims processing, sales conversion, and IT efficiency across sectors like finance, healthcare, and retail.

Join for free to read