AI for Dealflow: Sourcing & Rapid Diligence to Fund Healthcare Growth

Many investors and operators spend months chasing leads, manually cleaning data and running repetitive diligence that stalls capital deployment. In this interview episode Mia Franklin sits down with an AI-in-due-diligence founder and a healthcare operator to reveal a practical playbook: use machine learning to surface high-probability targets, automate primary-data checks (payer mix, utilization, title/lease flags), and produce concise, lender-ready diligence memos that speed decisions and improve capital efficiency. Listeners will get concrete examples of tooling, required data sources, team roles, and a phased adoption roadmap that fits small funds, PE sponsors, and operator-investors. The conversation focuses on measurable wins—time-to-term sheet, lower deal churn, and cleaner underwriting—plus the governance practices that preserve regulatory compliance and investor trust. Actionable takeaways make this episode valuable for founders seeking funding, investors scaling origination, and operators converting deals into financed, revenue-generating assets.