5 hard truths of change management
Executive Take
Stop funding transformation as one big bet. Release funding in stages tied to measurable results, and make your CHRO and CFO co-owners of the change, not just informed stakeholders.
Executive Summary
CIO.com interviews IT leaders including Mohan Sankararaman (First Horizon), Ashish Parmar (Standard Industries), and researchers from Protiviti, Nutanix, and i4cp on how AI has changed change management. Key points: transformation is now continuous, organizational change capacity is finite, shadow AI signals unmet needs, agentic AI requires designed-in trust, and change fatigue reflects capacity limits, not unwillingness.
Why It Matters
HR and technology leaders both own the fallout when change management fails during AI rollouts. This piece names a specific failure mode: treating AI adoption like a one-time project instead of a permanent capability.
Bizquad Perspective
Most CIOs still fight shadow AI as a policy problem when it is actually a live signal of exactly which workflows employees need automated next.