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Driving HR-Led AI Transformation

Vijay Swaminathan

3

min read

July 27, 2026

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I hope you're doing well. A few trends are becoming consistent across AI Transformation, based on our observations. We have written a short paper on the factors that influence the velocity of AI Transformation

AI transformation is increasingly constrained not by model capability, but by integration, access, workflow, and adoption barriers.
Organizations must diagnose the true constraint and assess AI economics based on workflow-level gains in time, capacity, quality, and speed.
Early momentum can be created by prioritizing high-value work that is less dependent on complex legacy systems.
Sustained transformation requires adaptable work redesign, clear governance, and continuous iteration as AI capabilities evolve.
The CHRO plays a critical role in redesigning roles, skills, decision rights, and management practices to convert AI potential into enterprise performance.

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