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# Where AI fails and how to protect your bottom line
- URL: https://www.financealliance.io/where-ai-fails-on-benefits-spend-and-how-to-protect-your-bottom-line/
- Published: 2026-07-20T16:45:43.000Z
- Updated: 2026-08-25T07:53:23.000Z
- Description: We're picking one real, anonymous member from actual claims data and following the money, live, on your screen.
- Author: Finance Alliance
- Tags: Live session

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.

In this live demo, we'll trace one employee's care back to the doctor making the referral calls, see where that doctor sends people, and determine whether it's a good deal. Then we'll show how that exact referral pattern adds up across every employee that doctor treats.

Live Q&A space is limited to ensure we can take attendee questions.

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## What we'll cover live

- **Trace the referral trail:** see how one employee's care traces directly back to the doctor making the referral calls.
- **Compare real destinations:** view cost and quality side by side across actual referral destinations, not high-level averages.
- **See the real savings:** steering members toward providers priced near the average, instead of renegotiating rates, saved 30% to 46% on a given service in the New Jersey data we've reviewed.
- **Answer your plan questions:** bring your toughest question about your plan. We'll answer it live against real, de-identified data.

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## Sound familiar?

- *"We know we're overspending. We just can't prove where."*  
**Carrier and TPA reports show what you spent, not why, or whether the referral pattern behind it was any good.**
- *"Our claims data is too messy for the tools we already have, including the AI."*  
**Generic AI stalls on raw plan data like this. We built ours to handle it.**
- *"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.**
- *"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 to get OnDemand access to the full recording and data breakdown delivered to your inbox.

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## Meet the speakers

**Justin Magnan |** *President & Co-Founder, Andovia* 

Justin has spent nearly two decades helping self-insured employers turn healthcare data into a financial advantage. 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.

[**David Magnan**](https://www.linkedin.com/in/david-magnan-81b9356b/) *| Technology Executive & Business Leader*

David is a technology executive with over 50 years of leadership experience across sales, marketing, customer service, software R&D, and large-scale operations.

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## Reserve your seat

See what happens when you stop looking at claims as high-level totals and start following the money.

***Live Q&A space is limited to ensure we can take attendee questions.***

Reserve Your Seat 

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