Systems of Execution: Enabling Agentic Revolution in the Enterprise

Systems of Execution (SoEs) represent the critical missing layer in enterprise AI adoption, transforming isolated AI experiments into a scalable, autonomous execution framework. Traditional enterprise systems store and display information but do not bridge the gap between AI-driven insights and real-time execution. SoEs fill this void by integrating AI-driven decisions directly into operational workflows, ensuring seamless automation at scale. By adopting SoEs, enterprises can enhance real-time responsiveness, operational efficiency, and data-driven agility, unlocking new levels of automation and intelligence across business functions.

Everest Group developed this research to address a pressing opportunity: enterprises are investing heavily in AI, yet many have not realized its full potential as it remains primarily an analytical tool rather than an execution engine. The shift toward agentic AI – where AI makes and executes decisions independently – demands an execution layer that integrates data, decision-making, and automation in real time. As organizations look to enhance competitiveness and agility, adopting SoEs will enable them to transform AI from an advisory tool into an active business outcome driver. This shift positions enterprises to scale their AI investments effectively and maximize their impact.