Agentic AI at the Edge: Moving from Insight to Execution

Most enterprise AI deployments today focus on assisting users - generating content, summarizing information, or providing suggestions within individual applications. However, real productivity gains depend on execution: completing multi‑step workflows across systems. In many environments, employees still move between applications to finish routine tasks, introducing friction and inefficiency. At the same time, cloud‑based AI approaches can create concerns around data exposure, governance complexity, and unpredictable cost models, driving enterprises to rethink where and how AI operates.

This session will explore the emerging shift toward device‑centric, agent‑based AI execution, where intelligence operates directly on the endpoint and coordinates actions across applications as a unified workflow. By interpreting user intent and executing tasks locally, this model enables more controlled automation that aligns with existing roles, permissions, and enterprise policies. Attendees will examine how this approach transforms the PC into an active execution layer - supporting more efficient workflows, reducing context switching, and enabling AI to move from advisory support to practical, outcome‑driven execution.

Join Intel and Cephable in this interactive roundtable to explore practical approaches for moving from AI-assisted work to AI-driven execution - how teams are reducing manual steps, coordinating workflows across applications, and maintaining control as AI becomes more action-oriented at the endpoint.