Key Takeaways
- Extraction begins with document classification (slip vs binder vs policy vs bordereau)
- Layout analysis identifies tables, schedules, and text regions
- Insurance-trained AI recognizes field names and values in varied formats
- Normalization converts dates, currencies, and limits to consistent formats
- Citation tracking links every extracted value to its source page and location
- Confidence scoring flags uncertain extractions for human review
- Output formats include JSON, CSV, and direct API integration
Extraction Pipeline
- Classification — Document type detection
- Layout Analysis — Structure recognition
- Field Extraction — Value identification
- Normalization — Format standardization
What Ultrassure Does
- Classifies 50+ insurance document types automatically
- Extracts 200+ fields per document with 99% accuracy
- Provides clause-level citations for every extracted value
- Normalizes multi-currency limits, date formats, and percentage structures
- Flags low-confidence extractions for human review with explanation
Frequently Asked Questions
What fields can be extracted from a reinsurance slip?
Key fields include cedent name, reinsurer(s), line percentages, limits and retentions, premium, coverage territory, class of business, inception/expiry dates, and special conditions. Ultrassure extracts 150+ fields from typical treaty slips.
How accurate is automated extraction vs manual data entry?
Enterprise contract intelligence achieves 99%+ accuracy on structured fields, exceeding typical manual data entry accuracy of 95-97%. Automation also eliminates transcription delays and enables instant access to extracted data.
Can extraction handle handwritten annotations on binders?
Modern systems use handwriting recognition for annotations, though accuracy depends on legibility. Best practice is to combine automated extraction with human review for handwritten elements. Confidence scores help prioritize review.
How does the system handle multi-currency schedules?
Insurance-trained models recognize currency symbols, ISO codes, and contextual currency indicators. They extract amounts with their currencies intact and can convert to a base currency using configurable exchange rates.
What happens when a field is missing or ambiguous?
The system returns a null value with an explanation when fields are missing. For ambiguous values, it provides confidence scores and may return multiple candidate values for human resolution. Audit trails track all decisions.
How long does extraction take per document?
Processing time ranges from 10-60 seconds per document depending on length and complexity. A 50-page policy typically processes in under 30 seconds. Batch processing handles thousands of documents overnight.
Can I train the system on my specific document templates?
Enterprise platforms offer custom model training for proprietary forms. However, pre-trained insurance models handle most standard formats. Custom training is typically needed only for highly specialized internal documents.
How do I validate extraction results before downstream use?
Best practice includes sampling validation, exception review dashboards, and integration tests. Ultrassure provides validation reports showing extraction confidence, flagged anomalies, and field-by-field accuracy metrics.