Intelligent Insurance Operations
Run a synthetic claim from document to decision: extraction, policy lookup, rules and human review.
Interactive demonstration
1. Choose a synthetic claim bundle
2. Pipeline stages
3. Extracted fields (synthetic confidence)
| Field | Value | Confidence |
|---|---|---|
| Run the pipeline to extract fields. | ||
4. Policy and business rules
No policy retrieved yet.
| Rule | Result |
|---|
5. Routing and human review
The routing decision appears here.
6. Operational analytics (this session only)
What the demonstration shows
- Document ingestion and classification of a synthetic claim bundle
- Structured field extraction with confidence per field
- Policy retrieval from a synthetic policy file
- Business rule validation with explained outcomes
- Human review queue for low confidence or rule failures
- Claim status update and analytics counters
User journey
- Claim bundle arrives
- Documents classified
- Fields extracted
- Policy retrieved
- Rules checked
- Reviewer decides
- Status updated
Reference architecture
The components a production version would need. This is a design, not a deployed system.
Intelligent Insurance Operations architecture
- Email and portal intake
- Document store
- OCR and extraction service
- Policy system API
- Rules engine
- Review application
- Claims system
- Analytics
Reference design. Components are options, not a statement of what is deployed at any customer.
Success criteria
Measures we would agree before building a real version.
- Straight through processing rate
- Field level extraction accuracy
- Time to first decision
- Manual correction rate
- Share of rule outcomes with an explanation
Want this built around your data and systems?
Tell us which part of the demonstration matches your problem. We will explain what a real version would need.