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// Case study 17 · Insurance
Sprout.ai
Changing insurance, for good.
Purpose-built AI layer that removes manual work from insurance claims processing, automating routine claims and equipping handlers to resolve the rest fairly.
Core AI productInsurance Claims AI
https://sprout.ai/
Insurance
Industry
Real-time
Processing
The problem
Manual claims handling is slow, error-prone and leaky, while volumes and AI-generated fraud keep rising.
The solution
Straight-through processing of routine claims in real time, fraud and anomaly detection, and explainable decisions for compliance.
How AI is used
Document understanding extracts data from claim files (splitting, page classification, redaction), models decide on routine claims, and anomaly detection flags fraud, waste and abuse.
// AI pipeline · live
How data flows through the model
01
Claim documents
02
Split & classify pages
03
Extract data
04
Policy check & fraud scan
05
Auto-resolve or route to handler
// AI capability profile
// Key features
- Claims resolved in minutes, not weeks
- Fraud detection & explanation
- Explainability for compliance
- Handler task queues
// Tech stack
Document AI / OCRNLP extractionFraud anomaly detectionExplainable AIWorkflow queues
Details verified against the live website in November 2026.