Yoann Bersihand

Agentic AI is exposing the limits of traditional enterprise structures. Siloed teams, slow decision-making, and fragmented data foundations cannot support autonomous, real-time systems. As organisations move from experimentation to scaled deployment, the operating model, not the technology, is emerging as the primary constraint. This panel convenes leaders who are fundamentally redesigning how their organisations operate to enable agentic AI at scale, from global AI hubs to new cross-functional ways of working.

• Redesign operating models to support real-time, agent-driven decision-making across the enterprise
• Balance centralised AI expertise (e.g. hubs/CoEs) with embedded, domain-level ownership
• Break down silos between data, engineering, and business teams to enable end-to-end execution
• Drive organisation-wide adoption and agentic literacy, not just isolated technical capability
• Align governance, talent, and workflows to support continuous scaling, not one-off deployments