Most finance and HR leaders know they're overspending on benefits. What they can't do is prove where, or by how much.

Somewhere in your claims data is an employee whose primary care doctor keeps sending them to the most expensive specialists in network, not necessarily the best ones. Nobody chose that on purpose, and nobody's watching for it either.

Your carrier and TPA reports show what you spent, not why, or whether the referral pattern behind it was any good. The raw plan data that could answer that is too messy for most tools, AI included.

This session closes that gap, live. We're picking one real, anonymous member from actual claims data and following the money: who their doctor is, where that doctor sends people, and whether it's a good deal. Then we'll show how that same pattern adds up across every employee that doctor treats.

Bring your toughest question about your plan. We'll answer that live too, against real, de-identified data.


Register and...

  • See how one employee's care traces back to the doctor making the referral calls.
  • Compare cost and quality side by side across real referral destinations, not averages.
  • See where the savings come from, steering members toward providers priced near the average instead of renegotiating rates, which saved 30 to 46% on a given service in the New Jersey data we've reviewed.
  • Bring your own question about your plan. We'll answer it live, against real, de-identified data.

Sound familiar?

  • "We know we're overspending. We just can't prove where."
    That's the gap carrier reports were never built to close.
  • "I've asked my broker a specific question about our plan and gotten nothing useful back."
    Brokers can only answer what the data lets them see. Prepared right, it answers a lot more.
  • "Our claims data is too messy for the tools we already have, including the AI."
    Generic AI stalls on claims data like this. We built ours to handle it.
  • "We're not sure we're meeting our fiduciary duty here."
    Under ERISA, "we didn't know" isn't a legal defense.

This session gives you somewhere to start.

Can't make it live? Register anyway, you'll get OnDemand access to the full session.


Meet the speakers

David Magnan, Technology Executive & Business Leader

David Magnan is a results-driven technology executive with over 50 years of leadership experience. He has led organizations through growth, transformation, and operational excellence across sales, marketing, customer service, software R&D, and large-scale operations, including turnarounds and strategic acquisitions.

Justin Magnan, President & Co-Founder, Andovia

Justin has spent nearly two decades helping self-insured employers turn healthcare data into financial leverage. He works directly with CFOs and benefits leaders, translating raw claims data into the cost and risk intelligence needed to make better decisions, before renewal, not after.