Agentic AI represents a leap forward from generative AI, empowering organizations to automate complex processes, foster human-AI collaboration and unlock unprecedented business value.

AI agents bring the agency that AI systems need. They blend advanced reasoning from LLMs with planning, orchestration, knowledge, data mining, guardrails and governance to achieve organizational goals through meaningful action.

They make real-time decisions, adapt to new situations and learn from their interactions and reinforced feedback — all under appropriate levels of human oversight. The range of real-world applications is vast, from task-oriented agents that extract and compare data or documents against standards, to fully autonomous agents capable of transforming entire value chains.

KPMG has developed a structured classification system called the TACO frameworkᵀᴹ — Taskers, Automators, Collaborators and Orchestrators — that helps organization make sense of the evolving agentic AI landscape and how to leverage its full capabilities.