Document Processing

Stop drowning in paperwork. Automate insurance document processing.

We build custom AI systems that read, classify, and extract data from your documents—tailored to your workflows and compliance needs.

Get a solution built for you

Industry Context

Insurance runs on documents: claims forms, policies, medical reports, regulatory filings. Manual processing is slow, error-prone, and expensive. Rising claim volumes, stricter compliance (NYDFS, GDPR), and an aging workforce make it worse. Carriers that don't automate fall behind on turnaround times, accuracy, and cost control.

By the Numbers

80%

of insurance data is in unstructured documents

Accenture Insurance, 2024

22 min

average manual processing time per claim document

McKinsey Claims Report, 2025

85%

extraction accuracy with AI document processing

Gartner AI Applications, 2024

The Problem

What you're dealing with

Claims adjusters re-typing data from scanned forms into legacy systems, creating errors and delays.

Underwriters spending hours combing through lengthy PDF submissions for specific clauses or risk factors.

Compliance teams struggling to track and redact sensitive customer data across thousands of documents per year.

New product launches stalled because document ingestion workflows can't handle new form types without IT help.

The Solution

How it works

We start by mapping your actual document workflows -- how your team really handles forms, emails, and reports, not the ideal process. Using AI-driven interviews, we find bottlenecks, exceptions, and system constraints. Then we design a system that reads, classifies, and extracts data from your documents, connected to your core systems like Guidewire, Duck Creek, or internal databases. We build and deploy using our platform, which speeds up development and keeps things solid. You get a working system in weeks, not a generic tool. It learns from your team's corrections and adapts to new document types over time.

POI

Process discovery and workflow mapping based on how your team actually handles documents

Arc

Document ingestion, classification, and data extraction tuned for your formats, systems, and compliance rules

In Practice

Before and after

Before

A new auto claim arrives as a scanned PDF. An adjuster manually reviews it, re-keys data into the claims system, flags missing fields, and routes it to another team for follow-up. Average handling time: 2 days.

After

Our custom AI system reads the PDF, extracts structured data (policy number, incident details, vehicle info), validates it against internal rules, and pushes it directly into the claims system. Missing fields are flagged automatically for human review. Handling time drops to 2 hours.

1 Document uploaded via email or portal
2 AI classifies document type (e.g., auto claim form)
3 Extracts relevant data fields with confidence scoring
4 Connects to core system via API, flags exceptions
5 Adjuster reviews only exceptions, approves automated entries

4 weeks

Average time to production

From project kickoff to deployed, working system for a mid-sized P&C insurer

FAQ

Common questions

How is this different from off-the-shelf OCR or document AI SaaS?

Off-the-shelf tools are generic. We build a system tuned for your specific documents, formats, internal systems, and business rules. It works with your workflows out of the box, not as a separate tool your team has to learn.

What about compliance and data security?

We build for your compliance requirements from the start. The system runs in your cloud or on-prem, and we include audit trails, redaction, and data retention features as needed.

How long does it take to build and deploy?

Typically 4-6 weeks from kickoff to production. Our internal tooling lets us move faster than traditional development.

What if our documents change or we add new form types?

The system learns from corrections and can be retrained for new document types without rebuilding from scratch. We provide support for updates as part of our engagement.