The context
Provider organisations live with a 60–120 day cash conversion cycle on a long tail of claim denials, coding cleanup, and patient-financial follow-up. The team is large, the SaaS stack is sprawling, and the bottleneck moves every quarter.
Why it doesn't scale today
The work that actually moves time-to-cash is not concentrated — it is spread across coding queues, denial-management queues, patient-statement queues, and an offshore vendor that owns a thin sliver of each. AI that improves any single queue rarely moves the corporate metric.
What we ask in week one
- iFor your top-revenue procedure families, what does the actual end-to-end path from charge to cash look like today?
- iiWhich long-tail denials in your queue compound on the same root cause and could be eliminated upstream?
- iiiWhere does autonomous agent action create real cash for you, and where does it create rework your RCM team will catch?
- ivWhat does success look like in dollars per week of cycle-time reduction — not productivity proxies your CFO will discount?
What we build
We map the actual claim-to-cash path for the top revenue families, build the agent surface where the largest cycle-time wins live (typically denial root-causing + autonomous appeal generation), and wire it into the existing PMS. Outcomes are scored in dollars per week of cycle-time reduction — the metric finance and ops both signed up to.
Why we're the right squad
Provider RCM is where consulting firms either oversell automation or undersell what AI can actually own. We size narrowly enough to hit a hard cash-cycle metric within a quarter, and we hand off a system the RCM director can keep tuning without us.