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AI can help employees navigate high‑stakes benefits choices – premiums, deductibles, and long‑term health and financial trade‑offs – while preserving their ability to decide.

Start with a strong choice architecture so AI can responsibly “carve a plausible path”: translate technical terms, surface the most relevant options, and adapt as circumstances change to build meaningful trust.

In this episode of “Transforming Benefits with Technology,” host Andrew Owens, with Ting Lye and Dr. Zoe Dimov, outlines practical steps to get this right: establish clear design standards and transparent messaging about what data is used and what it isn’t, introduce “healthy friction” like confirmation prompts and scheduled pauses, and position AI as an explainer and curator.

Episode highlights and key takeaways for employers:

  • Foundation first
    Establish a strong choice architecture so employees can clearly understand their benefit options; introduce AI only after those fundamentals are in place.
  • Assist, don’t replace: 
    Deploy AI as an explainer and curator that translates jargon, highlights relevant choices, and adapts to life changes – while preserving the employee’s final decision authority.
  • Prevent over reliance with deliberate design:
    Build “healthy friction” into the experience – confirmation prompts, scheduled pauses, and prompts to reflect – so employees don’t offload critical thinking to algorithms.
  • Earn trust through transparency and feedback: 
    Be explicit about what data the AI uses (and what it does not), and use outcome based feedback loops so recommendations are continuously validated and trusted.

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