Case file — 22B1C33A
The idea
“[ "Persona: A 44‑year‑old solo psychiatrist in Columbus, Ohio who turns away or delays ~30% of new patients because they aren’t in‑network with major insurers, losing an estimated $8,000/month in billable revenue. Current behavior: Submits manual credentialing packets to each payer, waits 3–9 months, and uses expensive out‑of‑network billing or self‑pay in the meantime. Pain: ~$8,000/month lost revenue plus 10–15 hours/month of admin time; new‑patient funnel stalls. Solution: A credentialing‑as‑a‑service that guarantees payer onboarding within a defined SLA (e.g., 60 days) by combining automated form generation, payer‑specific evidence templates, and a human‑assisted submission & follow‑up team; replaces the clinic’s manual packet assembly and multi‑payer chase with a single dashboard that shows status, required evidence, and a revenue‑impact calculator that projects recovered monthly revenue once in‑network. Distribution: Acquire first 1,000 providers via partnerships with three mid‑market EHR/telehealth vendors (co‑branded onboarding flow), targeted outreach to state psychiatric associations, and a pilot offer to EMR customers that waives the success fee for the first payer; run a $10k partner co‑marketing test to validate 1,000 signups. Unit economics: $99/month subscription + $499 success fee per payer added; average provider needs 3 payers → first‑year revenue ~$1,596; estimated CAC $350 via partner channels and association co‑sells; payback in <2 months if one payer converts to paid billing at typical reimbursement rates. MVP & timing: 2 engineers, 1 payer‑ops specialist, and 1 partnerships rep can ship a manual‑assisted MVP in 8–10 weeks (document templates, dashboard, Stripe + contract flow, human follow‑up playbook); start with human‑in‑the‑loop submissions to prove SLA while automating templates. Timing signal: rapid telehealth adoption and payer network consolidation mean clinicians are actively seeking faster credentialing to capture virtual visits now. Defensibility: payer relationships and validated submission templates create a repeatable, audited playbook; success‑fee economics and signed LOIs from EHR partners lock in distribution; accumulated data on acceptance rates and required evidence becomes a proprietary optimization engine that raises switching costs. Quick 30‑day experiment: sign one EMR partner to route 10 clinicians into a paid pilot and measure time‑to‑first‑payer; if 6/10 hit the SLA, the model is validated for scaling." ]”