The intelligence layer for denial economics.
Maximize net recovery by understanding what each denial is worth, how to pursue it, and how emerging payer behavior should change your strategy.
Korl helps revenue cycle teams continuously improve denial routing, prioritization, pursuit, and prevention policies based on the economics of each appeal path and new patterns in payer behavior.
As AI reshapes denial economics and payer behavior, you need a smarter decision layer.
Revenue cycle teams are leveraging a growing mix of human specialists, AI-powered automation, and external vendors to fight denials. Each path has variable costs, capacity constraints, and probabilities of success.
Meanwhile, payer behaviors and policies are evolving faster than ever, making yesterday's answers stale.
Korl provides the continuous optimization layer to answer:
- • Is this denial worth pursuing?
- • What is the highest-return path?
- • What is changing and how should we respond?
How it works
- 01
Measure path-level economics
Understand expected recovery, cost, time, and performance across internal denial teams, AI/automation, outside partners, and write-off.
- 02
Optimize your denial policies
Use those economics to update your existing pursuit thresholds, routing rules, prioritization logic, and level-of-effort guidelines.
- 03
Detect & adapt to change
Identify emerging payer-specific patterns and path-level performance changes, then update your economics and policies accordingly.
Start with a denial economics backtest.
Where are your current denial policies leaving money on the table? 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 reconstruct how each denial was worked and what ultimately happened, then model each denial's expected net recovery across the available paths.
We work from standard 837 claim, 835 remittance, and worklist history. We sign BAAs and adapt to your security review process.
- 2.
Diagnose
Identify claims where Korl's economic analysis would have suggested a different path or level of effort, as well as broader patterns that may warrant adjustments.
- 3.
Recommend
Propose concrete changes to denial routing, prioritization, and pursuit policies that you can 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.