AI in HR is moving from assistive tools to systems that can initiate actions, route work and trigger decisions within defined bounds. This shift exposes weaknesses in existing governance, productivity measures and decision rights that many organisations are unprepared for. This practitioner-led session focuses on the real design consequences of agentic AI: where control must be redesigned, which metrics become misleading, and why delaying decisions increases rather than reduces risk.


AI Workforce & Transformation Lead

Organisations are under pressure to extract productivity and capacity gains from AI while remaining compliant, auditable and trusted. As early agentic capabilities appear inside HR workflows, leaders face immediate design choices around accountability, governance and measurement that cannot be deferred without creating operational and regulatory risk.