Hidden Revenue to Bankable Capital: AI that Recovers Unbilled Claims and Converts Them into Financeable Cashflow

Unbilled claims, denials, payer underpayments and contract shortfalls represent real, often overlooked cash on the books of clinics and healthcare operators. In this concise, tactical episode Mia Franklin interviews the founder of an AI revenue-recovery platform and a commercial lender who packages validated recoveries into working capital and term finance. Together they walk listeners through a four-step playbook—detect, validate, collect, securitize—showing how ML audits EHRs, billing systems, and remittance data to quantify recoverable revenue, prioritize high-yield actions, and create lender-ready proofs of cashflow. The conversation covers practical KPIs for pilots, compliance guardrails, deal structures (seller-finance, revenue-based advances, receivable-backed facilities), and partnership models that preserve ownership while unlocking liquidity. This episode gives operators, investors, lenders, and healthcare executives an actionable roadmap to convert hidden operational revenue into predictable, financeable capital. Visit callpulse.org for episode resources and a recovery-to-capital pilot checklist.