Podbit · The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Curative built an AI agent on Claude that does end-to-end doctor credentialing: visits the medical board website, verifies licenses, checks malpractice records, and stamps approval. Cost dropped from $50 to $0.20 per credential. Turnaround went from 2-3 months to 12 hours.
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At 42:24 · chapter starts 40:00
Fred opens this chapter with the admission that if he had known AI was coming when he designed Curative's health insurance operations in 2022, he would have built the entire business differently. Health insurance, he explains, is fundamentally a bits-moving business: the only physical product is a small plastic card; everything else is data flowing through a marketplace. That makes it uniquely susceptible to AI transformation. The first department to go to zero people was credentialing — the labour-intensive process of verifying that every doctor joining the network holds a valid license and is not being sued for malpractice. A Claude-powered agent now visits medical board websites, verifies licenses, reads transcripts, and checks malpractice databases end-to-end, cutting turnaround from 2-3 months to 12 hours and cost from $50 to $0.20 per credential [1] — Fred Turner "Credentialing: $50 to $0.20: AI agents cut Curative's doctor credentialing cost from $50 to $0.20 per credential and turnaround time from 2…" 43:02 . Claims processing has also been substantially automated. The most elegant solution Fred describes is in underwriting intake: rather than forcing brokers to reformat files into a standard template, Curative now accepts any format and instructs an AI agent to write Python code that converts the file on the fly. The code is used once and discarded — throwaway single-use scripts that eliminate the need for hundreds of data-entry staff.
AI agents cut Curative's doctor credentialing cost from $50 to $0.20 per credential and turnaround time from 2-3 months to 12 hours.
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