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3% revenue uplift for a large RCM company by improving operations
Enhance Quality
Accelerate Revenue
UniSlink — a large Revenue Cycle Management company processing over 600,000 claims weekly, with ~1,000 agents navigating 70,000+ diagnosis codes, 10,000+ CPT codes, 500+ insurance providers, and 300+ client protocols.
Scaling expertise was nearly impossible — high agent attrition and long training curves meant inconsistent claim handling across 70K+ diagnosis codes.
Agent comments were unstructured, riddled with abbreviations and typos, making them unreadable for audits and automation.
Claim allocation was suboptimal — agents spent time on predictable scenarios that didn't need intervention.
We built three interconnected AI systems that augment agent decision-making, standardize documentation, and optimize claim allocation — all with PHI-safe architecture.
The recommendation engine drove a +3% increase in collections, +12% improvement in liquidation, and +3% faster month-on-month collection. Comment enhancement eliminated cognitive load on agents while producing audit-ready documentation. Intelligent allocation prioritized high-impact claims and eliminated wasted effort on predictable ones.
"Every percentage point in collections across 600,000 weekly claims translates to millions in recovered revenue."
We've delivered $100M+ in business impact across IT services, healthcare, HR tech, and fintech.
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