The evolution of software has progressed from Software 1.0 to Software 3.0, with Agentic AI representing the next phase in automating intricate workflows.
Agentic AI involves multiple intelligent agents collaborating autonomously, leveraging technologies like Large Language Models (LLMs) to make decisions and orchestrate tasks.
Workflow automation methods include rule-based automation, Robotic Process Automation (RPA), and Agentic AI, with the latter using LLMs for reasoning, planning, and collaboration in dynamic workflows.
Agentic AI, powered by frameworks like LangGraph, facilitates efficient task orchestration, enabling AI agents to work together logically in applications such as Eligibility Verification in healthcare Revenue Cycle Management (RCM).