The Everest Group report explains agentic AI as autonomous systems combining AI and automation to handle complex workflows end to end. Unlike traditional automation, agentic AI can reason, adapt, and self-improve. Benefits include better decision-making, higher efficiency, and improved customer experiences. Key use cases span KYC, invoice processing, and intelligent customer support. Challenges involve integration, security, ROI measurement, and ethics. Adoption requires phased implementation, clear governance, and human oversight. While still maturing, agentic AI is expected to redefine automation, blending RPA and AI into dynamic, self-directed processes.

Join for free to read