This podcast covers the paper from KPMG, "The Agentic AI Advantage," and details the significant shift toward AI agents beyond current generative AI applications, highlighting their independent action capabilities and goal-oriented operation across complex workflows.
It defines AI agents as digital tools that blend advanced reasoning with planning, orchestration, and data mining to achieve organizational objectives, adapting and learning in real-time.
The podcast emphasizes the substantial value AI agents can unlock, predicting trillions in corporate productivity improvements by enabling continuous operation, wider automation, knowledge conversion into action, and adaptability to change.
Furthermore, it introduces the KPMG TACO Framework (Taskers, Automators, Collaborators, and Orchestrators) to classify agents based on their complexity and application, offering guidance for organizations to navigate this evolving technological landscape.
Finally, the podcast outlines crucial steps for businesses to prepare for this transformation, focusing on strategy, workforce adaptation, robust governance, and strengthening technology and data foundations to ensure a successful and trustworthy integration of agentic AI.
