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While AI moves from simple automation to more agentic use cases, the challenge is no longer just efficiency — it’s confidence

The conversation focuses on how AI can enhance benefits insights by translating complexity, guiding employees through important decisions, and supporting better outcomes without replacing the human decision-maker. That means clear purpose, strong governance, and design choices that create healthy friction rather than blind reliance.

In this episode of "Transforming Benefits with Technology", Kate Brown, Andrew Owens and Simon Jarvis explore how employers can build an AI-ready culture by putting transparency, choice architecture, and human judgment at the center of the employee benefits experience.

What you should consider:

  • Adoption varies by individual, role, and geography
    Some people are naturally curious and experimental, while others are more cautious and need more reassurance.
  • AI should support people, not replace them
    The best use cases position AI as an explainer, curator, and efficiency tool while keeping final decision-making in human hands.
  • AI adoption is a change-management challenge, not just a technology rollout.
    Success depends on addressing people’s hopes and fears, not only providing tools and training.

Watch this episode

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