Agentic AI Is The Next Competitive Frontier
Forrester, Tuesday, March 11th, 2025
In the ever-evolving landscape of artificial intelligence, businesses are moving beyond traditional AI agents toward something far more transformative: agentic AI. Standalone foundation models (with retrieval-augmented generation [RAG] added) can assist with summarization and question-and-answer tasks, but agentic AI systems can go much further: They can plan, decide, and act autonomously, orchestrating complex workflows with minimal human intervention.
hey can also access a variety of tools to accomplish their work, which gives them the ability to reach into the digital and, eventually, the physical world. Agentic AI systems are poised to not only become the backbone of the knowledge economy but will completely redefine how organizations operate and compete. Our latest research explores what enterprises need to know about this shift and how to navigate the journey toward agentic AI.
Agentic AI Potential Takes Enterprises Beyond Traditional AI And Automation Technologies
Process automation tools, predictive analytics, standalone large language models, and RAG systems have delivered significant efficiency gains, but these technologies still require human oversight and structured input. Agentic AI moves beyond these constraints, enabling self-directed decision-making and execution. For enterprises seeking to harness AI's full potential, understanding this transition is critical.