Alan Susi shares how S&P Global is using generative AI to converge People Analytics with strategic workforce planning, moving from rigid role charts to a capability-centred, data-rich approach. He explains the ‘minimum viable workforce plan’ framework, the metrics that prove AI’s return, and why middle managers are pivotal to scaling innovation while safeguarding culture. Expect candid lessons on democratising AI access, avoiding data overload, flattening hierarchies and balancing shareholder value with wider societal impact.

Generative AI is reshaping productivity, skills demand and talent availability faster than traditional planning cycles can respond. Senior HR and analytics leaders must align org design, data and technology to deliver growth, control cost and mitigate risk in increasingly global, hybrid and skills-scarce markets.

• The convergence of People Analytics and strategic workforce planning – why it matters now.
• Minimum viable workforce planning: a pragmatic framework for fast-moving businesses.
• Capability-based design versus classic role charts, spans and layers.
• Leveraging generative AI while democratising access and protecting against bias.
• Measuring ROI: linking individual productivity gains to enterprise-level value.
• The evolving role of middle management in agile, hybrid organisations.