An AI agent can take action on behalf of a user. Models with agency have existed for a few years, but recent advances in natural language processing and memory structure have made them much more powerful. An AI agent can conduct an entire task – starting an action and completing it.
AI agents can be deployed to flag when items are running short, source the best supplier, initiate the purchase order and make the payment. Agents also can be used to support patients, helping them prepare for upcoming appointments, streamlining discharges and coordinating case management.
An agentic AI system is a network of agents that can work together to complete an entire workflow, not just an individual task. In the healthcare context, this could mean reviewing and processing a complex insurance claim. Using natural language, an agentic AI system can plan, collaborate and connect.
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