Explore the Agenda
8:00 am Networking & Registration
8:40 am Chair’s Welcome & Opening Remarks
9:00 am Discover: Interactive CHRO Panel: How Roche, Novartis, Sanofi & Merck Group Are Redesigning the Life Sciences Enterprise at Scale for an AI‑Enabled Future
- How leaders are redesigning enterprise operating models, rethinking what work is done by humans vs systems vs AI agents – and what this means for structure, accountability, and decision‑making at scale
- The real choices organisations are making around build vs buy vs plug‑and‑play across the enterprise – and why similar companies are landing on very different technology, capability, and delivery models
- Why ‘do more with less, faster’ is an outcome, not a strategy – unpacking the true drivers of enterprise reinvention – including speed, experience, resilience, and long‑term capability building
10:30 am Speed Networking & Refreshments Break
From AI Strategy to Enterprise Execution
11:30 am Discover: How Merck Group is Moving from Ai Experimentation to Enterprise‑Wide Business Impact
- Discover how Merck is shifting from pilots and fragmented AI initiatives to a focused, value‑chain‑led strategy where AI and agents are deliberately designed to reshape how work gets done and that concentrates AI investment where it can truly move the business
- Learn how Merck KGaA is redesigning work through agentic AI – building everyday AI fluency at scale while focusing largest agentic investments for the areas that create competitive advantage
- Explore how Merck KGaA is empowering leaders and managers to identify, deploy, and measure AI‑driven change across core processes, turning AI from a technology topic into a business capability
11:50 am Discover: How Daiichi Sankyo is Building a Global Data Foundation to Scale AI, Reshape Enterprise Processes, & Unlock Multi- Billion Efficiency Ambitions
- Discover how a two-year global approach created the single source of truth needed to integrate HR with wider enterprise data and make AI deployment viable at scale
- Learn how a top-down, C-suite-led governance model can accelerate AI adoption across functions while still harnessing regional expertise through focused workstreams
- Moving from “foundation-building” to “agentic + human” operating models – lessons learned around where to start, what to measure, and how to prove value fast
12:10 pm Develop: Deepening Enterprise AI Execution: Turning Strategy into Repeatable Capability
Dig deeper into what it truly takes to move from isolated AI success stories to consistent, enterprise wide execution. Use this session to unpack the practical enablers of scale – from governance and prioritisation to leader ownership and measurement – and explore how to embed AI as a core business capability rather than a series of disconnected initiatives.
Interactive Q&A Session Facilitated by the Chair
12:30 pm Action: Designing Your AI Execution Roadmap
Work with peers to translate insight into a clear execution plan for your organisation. Identify where to focus first, how to prioritise high-impact use cases, and what structures, skills, and metrics are required to move from ambition to measurable business outcomes.
Interactive Roundtable Discussion Facilitated by the Chair
12:50 pm Networking Lunch
From AI Adoption to Work & Operating Model Reinvention
1:50 pm Discover: From AI Adoption to Work Reinvention: How Moderna is Redesigning Work, Roles, & Accountability for Impact
- Learn how Moderna is shifting from AI tool adoption to end-to-end work reinvention: redesigning work across people, process, data, and technology to drive business impact
- Understand how to evolve work to support a more adaptive, AI-enabled workforce, while maintaining clarity, trust, and ownership
- Explore how this approach plays out in highly regulated European environments, balancing speed, risk, and compliance without losing momentum
2:10 pm Discover: Redefining HR’s Role to Orchestrate a Hybrid Workforce by Building the Ownership, Skills, & Lifecycle Governance Needed to Manage Humans & AI Agents Side-by-Side
- Explore how Novartis is reframing HR beyond skills-building to experiment with owning and orchestrating a truly hybrid workforce of people and digital agents
- Examine the early hypotheses HR leaders are testing around accountability, lifecycle management, and engagement when “workers” are no longer only human
- Learn how enterprise-wide AI transformation creates a new mandate for HR to shape operating models, not just support them
2:30 pm Develop: Reinventing Work in Practice: From Adoption to Redesign
Explore the shift from introducing AI tools to fundamentally redefining work, roles, and accountability. Dive into the real decisions organisations face when redesigning workflows, balancing human and AI contribution, and maintaining clarity, trust, and performance during transformation.
Interactive Q&A Session Facilitated by the Chair
2:50 pm Action: Mapping Your Future Operating Model
Collaborate to identify where work in your organisation can be eliminated, augmented, or restructured. Begin outlining how roles, decision-making, and team structures need to evolve to support a more adaptive, AI-enabled operating model.
Interactive Roundtable Discussion Facilitated by the Chair
3:10 pm Networking Break
3:30 pm Interactive Action Labs – Part 1
At the end of the first conference day, attendees will get the chance to choose a group discussion to dive deeper into – and work towards finding answers to – a key shared problem. Choose from A, B, or C:
Interactive Action Lab A: How Do We Prepare Leaders & The Wider Organisation to Actively Lead AI Driven Change?
Work in small, facilitated peer groups to tackle real problems, compare what’s working in practice, and leave with clear, implementable solutions you can apply immediately.
- What needs to shift in leadership capability, mindset and change management approaches to ensure AI transformation is driven from within, not imposed from the outside?
- How do you create true ownership, where leaders take responsibility for identifying and driving AI opportunities in their own areas?
- What support, guardrails and incentives are needed to help leaders make confident decisions about adoption, prioritisation and risk?
5:00 pm Interactive Action Labs – Part 2
After a short break, attendees will get the chance to join a new group discussion to dive deeper into – and work towards finding answers to – another key shared problem. Choose from D, E, or F:
Interactive Action Lab D: What Does Early Career Development Look Like When AI Removes Traditional ‘Learning By Doing’?
Work in small, facilitated peer groups to tackle real problems, compare what’s working in practice, and leave with clear, implementable solutions you can apply immediately.
- How do organisations build credible career pipelines and future leaders when AI accelerates productivity but reduces exposure to foundational experience?
- How can organisations deliberately design exposure to complexity, decision-making and real ownership earlier in careers?
- What alternative pathways (e.g. rotations, project-based work, simulations) can replace traditional experience-building without slowing delivery?