Claims-to-Capital: How AI Turns Revenue Cycle Wins into Financeable Healthcare Cashflow

Hospitals, clinics, and specialty practices often sit on untapped cashflow locked behind slow claims, denials, and opaque payer contracts. In this episode Mia Franklin interviews an AI revenue-cycle founder, a healthcare payer-negotiation expert, and a lender who underwrites clinic cashflow to show how machine learning can compress days‑sales‑outstanding, prevent denials, surface underpaid claims, and quantify contract leverage for financing. Listeners will get practical steps for running low‑risk AI pilots, the metrics lenders care about, and a repeatable checklist to translate improved AR performance into lower‑cost capital and more attractive valuations. The conversation focuses on actionable tactics—claims triage automation, denial-prediction models, contract-value analytics—and real-world lift numbers that make clinics and healthcare real estate easier to finance. Visit CallPulse.org to download the episode checklist, example KPI templates, and partner resources.