AI Integration
Automating Document Processing with Generative AI
Illustrative example: this case study shows how KPThink approaches this kind of engagement. It is not a specific named client, and the figures below illustrate the type of outcome we target, not a verified result.
Industry
Insurance claims processing
Company Size
60-person claims processing team
Illustrative example based on a common engagement pattern, not a specific named client.
The Problem
Claims adjusters spent hours manually reading intake documents to pull out policy numbers, dates, and damage descriptions before a claim could enter the review queue.
The backlog grew every month because document intake could not keep pace with new claims.
What KPThink Did
- Built a document ingestion pipeline using Azure OpenAI to extract structured fields from scanned PDFs and images.
- Added a human review step for any extraction the model flagged as low-confidence.
- Integrated the pipeline with the client's existing claims management system through its API.
- Set up monitoring to track extraction accuracy and catch drift over time.
The Outcome
4 minutes
average document processing time, down from 45 minutes
95%
extraction accuracy on structured fields
Adjusters
reassigned from data entry to higher-value claims review
Related service: Generative AI Services
Curious what generative AI could automate in your document workflow?