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

Your carrier and TPA reports tell you what you spent, not why, or whether it was fair. The raw claims data that could answer that is too messy for the tools, or the AI, you already have.

This session closes that gap, live.

It shows how raw plan data becomes a straight, usable answer. Bring your own questions. They'll be answered in real time, using real, de-identified plan data.


Why you should attend:

  • Learn why employers overspend on benefits coverage, and what keeps it hidden.
  • Turn messy plan data into a straight answer, instead of a guess.
  • Get real-time answers to common spend questions, plus whatever you submit live.

Sound familiar?

  • "We know we're overspending. We just can't prove where."
    That's the gap carrier reports were never built to close.
  • "Our reports show what we spent, not whether it was fair."
    Fairness isn't a line item on a TPA statement, but it should be.
  • "Our claims data is too messy for the tools we already have."
    Raw plan data can be read, once it's prepared properly.
  • "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.


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.