Mid‑Afternoon Q&A – AI in the Real World

Mid‑Afternoon Q&A – AI in the Real World

People Analytics World PAWorld mark

Copilot design, governance and sustained productivity gains

This Q&A brings together a speaker and a panel representative to discuss real-world challenges when introducing AI into work. The focus is on design choices, safeguards, and what it takes to build confidence in AI tools. The conversation will explore how to measure sustained productivity gains, prevent change fatigue, and ensure AI supports rather than sidelines critical roles.

This session explores

  • Key design and governance considerations for AI copilots.
  • How to measure and track meaningful productivity improvements.
  • Addressing skills gaps and user confidence when adopting AI.
  • Managing change fatigue and sustaining engagement over time.
  • Ensuring AI augments, not displaces, essential roles.

Learning outcomes

  • Understand which copilot design choices matter most for your context.
  • Learn how to measure durable productivity improvements from AI tools.
  • Identify early warning signs of change fatigue in AI adoption.
  • Gain ways to support skills readiness for AI-driven workflows.
  • Clarify how to position AI as augmentation, not replacement, for critical roles.
Zurich Switzerland DACH Europe People Analytics Conference
25 February 2026
14:45-14:55 CET

Value

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Learning Pathways

Why this matters

Organisations face rising pressure to show tangible productivity benefits from AI without undermining trust or overloading the workforce with yet another change. Many are navigating skills gaps, governance obligations and the risk of poorly designed copilots that create more work than they remove. This Q&A tackles these tensions with practical, experience-based guidance.

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