Optimize how denials get worked.
Go beyond siloed worklists to answer where each denial should go in the first place: to an internal specialist, automation, an outside agency, or write-off.
Korl's routing engine chooses the highest-return path for each denial, then helps you measure outcomes and continually optimize routing policies across all available paths.
As AI adds more ways to appeal, you need a smarter decision layer.
Revenue cycle teams are leveraging a growing mix of human specialists, AI-powered automation, and external vendors. Each path has different costs, capacity constraints, and probability of recovery.
The result is a cross-channel allocation problem that no vendor- or team-specific worklist can solve.
Korl provides the continuous optimization layer across all of them.
How it works
- 01
Model your available paths
Define the internal teams, automation, and outside vendors available to work denials, along with per-path costs, capacity constraints, and hard rules.
- 02
Optimize routing & prioritization
Korl analyzes historical claims data and path economics to recommend which denials should go where, and in what priority, to maximize expected net recovery.
- 03
Measure outcomes & improve
Track actual recovery outcomes, compare them with expectations, and continuously refine routing policies and experiments.
Get started with a retrospective backtest.
What's a better routing policy worth for your organization? We're offering a limited number of backtests on historical denial data. In 4-6 weeks, Korl will:
- 1.
Reconstruct
Analyze historical denial data to develop a labeled dataset and extract key information for expected recovery calculations.
We work from standard 835/837 remittance and worklist history, sign BAAs, and adapt to your security review process.
- 2.
Diagnose
Identify claims where the economics suggest a different path or level of effort would have been better.
- 3.
Recommend
Propose a revised routing and prioritization policy that you can implement and test prospectively.
About Korl
Korl is an AI software company based in the San Francisco Bay Area. Co-founders Berit Hoffmann and Sumeet Pannu have built enterprise software and AI products at Google, Salesforce, VMware, and high-growth startups.