Rethinking organizational design in the age of agentic AI
Organizations are facing challenges in integrating agentic AI into their operations. Many leaders recognize the need for a systems-level change rather than simply layering AI onto existing structures. The concept of agentic business transformation (ABT) is introduced as a framework for effectively adopting AI agents within organizations.
- ▪85% of organizations aim to be agentic within three years, but 76% feel unprepared due to current operations and infrastructure.
- ▪Layering AI onto existing models may hinder organizations from realizing the full potential of agentic AI.
- ▪Agentic business transformation (ABT) is proposed as a new framework to integrate AI agents into the organizational fabric.
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SponsoredArtificial intelligenceRethinking organizational design in the age of agentic AIFor agentic AI to deliver material benefits to organizations, it can’t be layered onto existing operations. Instead, enterprise leaders must approach it as a systems-level change. By MIT Technology Review Insightsarchive pageMay 26, 2026In partnership withEma Amid rapidly growing adoption of enterprise-level AI agents, there’s a disconnect emerging between ambition and execution. Although 85% of organizations say they want to be agentic within the next three years, 76% say their current operations and infrastructure can’t support that change. They cite a lack of readiness across people, processes, and workflows.
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