
AI-Powered Insurance Claims Engine
Development of an AI-enhanced claims processing platform that automates the intake, classification, and initial assessment of enterprise insurance claims.
The story
behind it
The processing of claims was a highly manual, error-prone effort involving thousands of physical and digital documents daily. Keyhole Software implemented an AI-driven pipeline that uses natural language processing (NLP) and a custom rules engine to automate 80% of routine claims, freeing adjusters to focus on complex cases.
What stood in the way
The primary challenge was the variety and low quality of incoming documents. The system needed to extract data from hand-written forms, poor-quality faxes, and varied digital formats with extremely high accuracy to ensure fair settlements and prevent fraud.
How we made it happen
We developed a pipeline utilizing Python and Azure Machine Learning to extract and normalize data. This was coupled with a sophisticated Drools-based rules engine that analyzes claims against policy metadata to determine initial settlement recommendations.
Impact that speaks
Claims Automation
The majority of routine claims are now processed from intake to settlement without manual intervention.
Resolution Velocity
Claim resolution time dropped from an average of 10 days down to less than 48 hours for automated cases.
Operational Savings
Reduced the per-claim processing cost by nearly half through intelligent task automation.
A closer look


What we
delivered
Every feature was built with purpose, performance, and user experience at its core.
Tools & technologies
From concept to launch
Data Science Discovery
Analyzing historical claims data to train and fine-tune extraction and classification models.
Pipeline Development
Building the scalable intake pipeline and integrating the AI/ML inference service.
Rules Engine Build
Translating complex policy documents into executable business rules.
Deployment & Feedback
Rolling out the system and implementing human-in-the-loop validation for continuous model improvement.
Common questions
Let's build something remarkable together
We'd love to discuss how we can help bring your vision to life. Our team has extensive experience across AI, web, mobile, and cloud technologies.
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