Multi-format ingestion
PDFs, scanned images, photos from phones, email attachments — all normalised before processing.
Solution
Document Automation for Insurance
AI that reads claims, applications and supporting documents — extracts structured data with confidence scoring, validates against business rules, and writes straight into your core systems.
What This Does
How it works.
Documents arrive via email, secure upload portal or scanning. The pipeline classifies the document type, extracts every field of interest using a mix of templated and large-model approaches, runs business-rule validation (totals match, dates are plausible, signatures present), assigns a confidence score to every field, then writes the structured result into your policy/claims system. Anything below the confidence threshold gets routed to a human reviewer with the original document and the AI’s best guess side-by-side.
What's Included
Features in this solution.
Field-level confidence scoring
Every extracted value has a confidence score. Only low-confidence fields land in the human-review queue.
Business-rule validation
Cross-field rules (totals, dates, ID-format checks) catch errors before they reach the core system.
Audit trail
Every decision — automated or human — is logged with the source document and the model's reasoning, ready for regulatory review.
Core-system integration
Guidewire, Duck Creek, Salesforce FSC, Sapiens — or REST/SOAP integration with your custom platform.
Continuous improvement
Models retrain on human-reviewed corrections monthly — accuracy improves over time without re-implementation.
Where It Fits
Built for these situations.
- First Notice of Loss (FNOL) intake
- Claims supporting-document processing
- New-policy applications + underwriting docs
- KYC / AML document verification
- Medical report extraction (health, life, disability)
- Invoice and supplier-document processing for ops
Built On
The stack we use.
AI / ML
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TensorFlow
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PyTorch
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OpenAI
Backend
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Python
Cloud
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AWS
Database
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PostgreSQL
DevOps
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Docker
Delivery
Pricing & timeline.
Pricing model
Fixed-price pilot covers one document type, one core-system integration and a 60-day production run. Typical pilot is $35k–$60k.
Rolling additional document types into the same pipeline is incremental — most carriers add 4–6 document types in the first year and see compounding savings across all of them.
Typical timeline
8–12 weeks
Senior-led pod, fixed price, weekly demos.
Ready When You Are
Ready to launch
Ready to launch
Document Automation for Insurance?
Book a free consultation with a senior engineer — we'll scope your version of this solution in one call.