Designing an AI-Ready HR Function: Inside Sanofi’s Two-Year Blueprint
22 Apr 2026
Main Stage
Main Stage Session
What does it really take to make HR “AI ready” when perfect preparedness guarantees you’ll be late?
This session goes inside Sanofi’s journey as an AI-powered biopharmaceutical company, exploring how they are deliberately designing an AI-ready HR ecosystem and strategically sequencing a two-year program to stay focused on value, not noise.
The conversation will get practical on balancing ambition with constraints: anchoring a complex tech stack, navigating European AI governance and localization, and deciding where to push ahead versus remediate based on a matrix of business value and organizational readiness. We’ll explore how Sanofi is thinking about human-AI collaboration in performance and talent decisions, managing sensitive HR data within an agentic ecosystem, and building a portfolio of AI use cases rather than a single flagship project. Attendees will leave with concrete ways to prioritize where to start, structure an AI readiness journey, and govern human and agent contributions in a way that makes value, risk, and readiness transparent across the HR ecosystem.
This session goes inside Sanofi’s journey as an AI-powered biopharmaceutical company, exploring how they are deliberately designing an AI-ready HR ecosystem and strategically sequencing a two-year program to stay focused on value, not noise.
The conversation will get practical on balancing ambition with constraints: anchoring a complex tech stack, navigating European AI governance and localization, and deciding where to push ahead versus remediate based on a matrix of business value and organizational readiness. We’ll explore how Sanofi is thinking about human-AI collaboration in performance and talent decisions, managing sensitive HR data within an agentic ecosystem, and building a portfolio of AI use cases rather than a single flagship project. Attendees will leave with concrete ways to prioritize where to start, structure an AI readiness journey, and govern human and agent contributions in a way that makes value, risk, and readiness transparent across the HR ecosystem.
Speakers
Topic
AI Automation & Agentic Systems
Learning Objective 1:
Sequence a pragmatic two-year AI readiness roadmap.
Learning Objective 2:
Use a value-readiness lens to prioritize HR AI use cases, balancing ambition with tech debt, regulation, and localization.
Learning Objective 3:
Define human-AI collaboration for HR that governs performance, protects sensitive data, and builds trust in responsible AI use.
