Agentic AI presents a significant challenge for data modernization, moving beyond simple system upgrades to address how software makes decisions. While many companies pilot AI agents, few achieve scaled value due to data-related issues and a lack of clarity on accountability. Effective change management, using frameworks like the Prosci ADKAR model, is crucial for integrating these agents by focusing on awareness of role shifts, involving employees in design, educating them on delegation, and gradually increasing agent autonomy. AI
IMPACT Highlights the critical need for change management alongside technology adoption for successful agentic AI integration.
RANK_REASON Article discusses change management strategies for agentic AI, drawing on a McKinsey report and the Prosci ADKAR model, rather than announcing a new product or research.
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