Every CHRO is being asked the same question: What is our AI strategy? The harder question is how to turn AI into better workforce decisions and measurable business impact.

In this session, three HR leaders will each take you inside their organization's AI journey, sharing the biggest workforce challenges they're trying to solve, the gaps standing in their way, and the lessons they've learned about what it takes to move from AI experimentation to impact.

They'll explore where they're investing, what they're choosing not to automate, and why trusted workforce context, not just more data, is becoming critical to making AI useful for complex people and business decisions. From understanding the relationships between people, roles, skills, costs, and organizational priorities to navigating governance, adoption, and the CHRO-CIO partnership, each leader will share what's working, what surprised them, and what they'd do differently.

Most importantly, they'll translate those experiences into practical guidance for HR leaders navigating the same challenges, including the actions they believe organizations should take now to build an AI strategy that delivers real value.

Workforce data tells you what happened. Workforce context tells you what it means, why it matters, and what to do next.

In this session, see Visier Workforce AI bring together workforce data with the context surrounding it, including organizational structures, business relationships, costs, benchmarks, historical patterns, and governance. The result is AI that understands your workforce and can help leaders move from a question to a confident decision and measurable action.

Through three live demonstrations, we’ll show how workforce context powers the same Understand → Plan → Activate approach across three high-impact business challenges.

Demo 1: Workforce Investment: Understand the Full Context Behind Workforce Cost

Headcount alone doesn’t tell you what your workforce costs or where changes will have the greatest impact. See how Visier combines workforce, financial, and organizational context to create one trusted view of total workforce cost. Leaders can understand what’s driving cost, model the full impact of a workforce change before approving it, and track whether committed reductions are actually holding.

Demo 2: Workforce Redesign: Put Organizational Context Behind Every Decision

An org chart shows reporting lines, but it doesn’t show the full context leaders need to redesign the workforce. See how Visier brings together structure, cost, spans and layers, coverage, historical changes, and workforce relationships to create a verified baseline for redesign. Leaders can compare scenarios with the downstream impact visible before making a decision, then measure whether the change delivered what was intended.

Demo 3: Bring Workforce Context Into Enterprise AI

Enterprise AI can answer questions, but without workforce context, it can’t reliably understand your organization. See how Visier makes governed workforce intelligence and organizational context securely available to AI tools through MCP, giving employees more relevant, trusted answers while HR and IT maintain control over sensitive workforce data. Includes a live look at workforce intelligence in Claude, Microsoft Teams, and PowerPoint.

Workforce planning has never been more critical or more complex. Business leaders are navigating constant disruption: economic volatility, the rise of AI, and accelerating shifts in skill requirements. Traditional, static headcount planning is not enough to create a future ready workforce. 

To build sustainability, organizations must develop the capability for continuous, dynamic workforce planning. The future of WFP is about aligning roles to evolving business needs, designing adaptable organizational structures, and embedding AI both within the workforce and into the planning process itself. 

Join this session to understand the tools, technologies, and practices required to bring your workforce planning strategy into the AI age, and build an organization ready for whatever the future throws at it.

Most organizations are experimenting with AI. AbbVie wanted to answer a more important question: Can AI make better workforce decisions without understanding the context behind the workforce?

Rather than assuming all AI tools are created equal, AbbVie conducted a head-to-head evaluation of a general-purpose enterprise LLM against specialized workforce AI. What they found highlighted a critical distinction: access to workforce data isn't the same as understanding workforce context.

Workforce decisions depend on more than individual data points. They require an understanding of how people, roles, teams, skills, costs, organizational structures, and business priorities relate to one another. Without that context, even powerful AI can struggle to provide recommendations leaders can confidently act on.

Join AbbVie for an inside look at what their evaluation revealed about the role of workforce context in making AI useful for real business decisions, where generic AI fell short, and how specialized workforce AI can move leaders beyond simply finding information toward receiving relevant, data-driven recommendations.

Whether you're evaluating AI investments or looking to increase the impact of your people analytics function, you'll leave with a practical framework for determining when AI has enough workforce context to support a decision, and when it doesn't.