- Analyst Report
Agentic AI Is Rising And Will Reforge Businesses That Embrace It
This report establishes core definitions and explains the current state of agentic systems, how they are being acquired or composed by enterprises, and the state of use cases to which these agentic systems are being applied.
Report Summary
AI agents have seized the attention of business leaders and technologists alike, and enterprises are rushing to understand and apply their potential. But the real story is not merely the AI agents, but the agentic AI systems that sit behind them and orchestrate them together. Building agentic AI into software systems across the enterprise will form the foundation of new knowledge economies and markets. Agentic AI is different because of its unique combination of capabilities that take it beyond existing approaches to automation and insights. What distinguishes agentic AI is that it can plan strategically, reason through complex scenarios, collaborate between different components, and leverage external tools to achieve objectives with remarkable autonomy.
Vendors have adopted jargon that conflates all kinds of AI agents with agentic AI. This has resulted in traditional process automation tools, predictive analytics systems, standalone large language models, and retrieval augmented generation systems being referred to as AI agents when they alone don’t possess the capabilities of planning, adapting, and actioning that agentic AI delivers.