This session shares the practical realities of rolling out AI copilots at scale across HR and Finance. The speaker explains how use cases were selected, how prompts and data were prepared, and how users were trained and supported once the pilots ended.
It also covers governance, transparency, fairness safeguards and EU AI Act considerations, along with adoption challenges, value tracking and how capacity gains were converted into service improvements. Expect an honest, practitioner-ready account of what actually works.


Global Director of Data Science and AI

Organisations are under pressure to realise productivity benefits from AI without exposing themselves to regulatory, ethical or operational risk. Copilots promise major efficiency gains, yet most deployments stall after early pilots because of unclear guard-rails, weak adoption support, or missing value metrics. HR, Finance and IT leaders need workable methods for scaling AI assistants safely while maintaining trust and compliance.