Reinventing HR at Scale: Inside IBM’s AI-First Productivity Journey
Wed Feb 04 2026
IBM is on a mission to become the most productive company in the world, delivering $3.5 billion in increased efficiency in just two years. With a further billion now eyed for 2026, Avature CEO Dimitri Boylan sat down with IBM’s Jon Lester to discuss his HR team becoming “Client Zero” of the transition to a true enterprise-wide AI-human hybrid working model and what that means in practice for skills and the future of work.
Tune in for IBM's Vice President of HR Technology, Data and Artificial Intelligence on:
Why productivity transformation starts with outcomes, not tools
The power of consolidating platforms and processes to move from fragmented HR to a consistent, fast-moving global model.
How to use AI-driven services to streamline support, reduce friction and create continuous employee feedback loops.
Why enterprise AI requires governance by design and the need to ground generative AI in context, guardrails and human oversight to ensure trust and accountability.
How to prepare for a hybrid human–AI workforce by building skills frameworks, operating models and enablement practices where agents handle tasks and humans provide judgment.
We hope you enjoy it!
Hosted on Acast. See acast.com/privacy for more information.
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IBM is on a mission to become the most productive company in the world, delivering $3.5 billion in increased efficiency in just two years. With a further billion now eyed for 2026, Avature CEO Dimitri Boylan sat down with IBM’s Jon Lester to discuss his HR team becoming “Client Zero” of the transition to a true enterprise-wide AI-human hybrid working model and what that means in practice for skills and the future of work. Tune in for IBM's Vice President of HR Technology, Data and Artificial Intelligence on: Why productivity transformation starts with outcomes, not tools The power of consolidating platforms and processes to move from fragmented HR to a consistent, fast-moving global model. How to use AI-driven services to streamline support, reduce friction and create continuous employee feedback loops. Why enterprise AI requires governance by design and the need to ground generative AI in context, guardrails and human oversight to ensure trust and accountability. How to prepare for a hybrid human–AI workforce by building skills frameworks, operating models and enablement practices where agents handle tasks and humans provide judgment. We hope you enjoy it! Hosted on Acast. See acast.com/privacy for more information.