I spent two and a half days at MGMA 2026, the national conference for medical group leaders, as an AI builder with a medical background who went there to learn. What I found is a blind-spot triangle: are you paid what your contracts say, is your AI's work right, and does anyone own the whole picture across the tools you bought one at a time. Payers already use AI to deny claims and quietly downcode them, and many of the practices in those rooms are still answering by hand. Take one question back this week: for an AI tool you pay for, what single number would prove it's working?

AI for medical groups and practices:
https://seriousai.partners/healthcare/?utm_source=podcast&utm_medium=description&utm_content=ep-327-underpaid-no-denial

Serious AI News, every Monday. AI for operators, what we built and what it cost:
https://seriousai.partners/newsletter/?utm_source=podcast&utm_medium=description&utm_content=ep-327-underpaid-no-denial

Tell us what's breaking:
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Chapters:
0:00 Buying AI one tool at a time
0:16 MGMA 2026, going in to learn
2:50 AI in every room, and the pressure on operators
4:21 Point tools and ambient scribes
5:36 Only a few run a mature AI program
6:57 Payers already automate denials
8:16 Why the buying decisions are happening now
9:50 The blind-spot triangle
12:26 In-house build versus vendor tools
14:33 Silent downcoding, billed one code and paid another
15:45 Contracts that pay less than they say
17:09 A scribe that ignored its rules
18:10 Coders still checking by hand
19:11 The human side of automation
20:20 Who owns the whole picture
21:51 Your move, name one number

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