Introducing a hybrid approach to using Document AI and GenAI
Automate Claims Processing
What Automated Claims Processing Covers?
The use of AI and intelligent document processing (IDP) to handle the document-intensive tasks across the insurance claims lifecycle, from first notice of loss through settlement, with minimal manual intervention.
Claims workflows involve high volumes of diverse, unstructured documents, including:
- FNOL forms
- Police reports
- Medical records
- Repair estimates
- ACORD forms
- Explanation of benefits (EOB) statements
How the process works
Automated claims processing handles each stage of the claim's lifecycle through a connected sequence of steps:
- Document capture: ingests documents from multiple intake channels.
- Document Classification: identifies and sorts each document by type.
- Data extraction: pulls relevant data fields from each document.
- Validation: checks extracted information against policy records and business rules.
- Fraud detection: identifies anomalies that may indicate fraudulent activity.
- Routing: directs cases to settlement or escalation based on outcomes.
Primary business outcomes
Organizations that implement automated claims processing can expect measurable improvements across four key areas:
- Faster claims cycle times
- Lower cost per claim
- Improved fraud detection rates
- Higher straight-through processing (STP) rates for routine claims










