Document Processing in Property & Casualty Insurance
Property and casualty insurers process millions of documents every day — policy applications, loss run reports, ACORD submissions, inspection reports, repair estimates, certificates of insurance, premium audit worksheets, workers' compensation records, and adjuster notes, the list goes on.
Slow or inaccurate document handling delays underwriting decisions, extends claims cycles, and creates audit exposure across every line of business.
LandingAI transforms documents into highly accurate, verifiable, structured data so teams can reliably automate document-intensive workflows.
Why Agentic Document Extraction for
Property & Casualty Insurance
Underwriting Speed at Scale
Extracting structured risk data from submissions, loss runs, and supporting documents in seconds rather than hours lets underwriters evaluate more accounts without proportional headcount growth.
Audit-Ready Traceability
Every extracted value is grounded to its precise location in the source document, giving compliance teams and regulators a complete, verifiable record of the data behind every policy decision and claims outcome.
Accuracy Across Inconsistent Formats
P&C documents arrive from dozens of sources — agents, third-party administrators, repair shops, medical providers, and government agencies — each with different layouts, and agentic extraction maintains high accuracy across all of them without template configuration.
Built for Complex P&C Insurance Documents
Intelligent document processing across personal lines, commercial lines, specialty lines, and workers' compensation is extremely difficult due to the sheer diversity of document types, the inconsistent layouts and the domain expertise required. Then add multiple languages, handwriting, photographs, scans and faxes to the complexity.
Accurate parsing of dense tables that span multiple pages and contain merged cells.
Single pipeline for image, slide, document, and spreadsheet file types with 1000+ pages.
Strong recognition of character-based languages, handwriting, checkboxes, stamps and signatures.
Schema-driven field extraction with visual grounding traceable to the original document.
Use cases
Submission Intake & Underwriting
Extract risk characteristics, coverage history, and applicant data from ACORD forms, loss run reports, supplemental applications, inspection reports, and supporting financial statements to evaluate and bind commercial and personal lines risks.
Accelerate time-to-quote, reducing submission abandonment and broker attrition
Eliminate manual data entry from submission triage, reducing underwriting operating costs
Improve risk selection accuracy with complete, consistently extracted exposure data
Claims Adjudication
Extract and verify claim details across first notice of loss forms, police reports, adjuster field notes, repair estimates, medical bills, and independent medical examination reports to evaluate coverage and settle claims faster.
Accelerate claims resolution, reducing loss adjustment expenses and policyholder churn
Surface inconsistencies and misrepresentation with automated cross-document validation
Ensure defensible, auditable claims decisions with a full extraction trail tied to source documents
Premium Audit Processing
Extract payroll records, employee classification data, subcontractor certificates, and remuneration schedules from workers' compensation and commercial general liability audit packages to reconcile estimated versus actual premiums.
Accelerate audit cycle completion, converting finalized premiums to revenue faster
Reduce manual audit processing labor across high-volume workers' compensation books
Improve classification accuracy and reduce premium leakage from misclassified exposures
Trusted for Document-Heavy P&C Insurance Workflows
Agentic Document Extraction enables property and casualty insurers to automate document-intensive processes that traditionally require manual review.
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →
ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →
Agentic Document Extraction has proven to be both accurate and easy to use. We are building on that foundation to deliver reliable, transparent, and scalable automation that our customers can validate and trust.”
View case study →ADE has significantly outperformed other document extractors we’ve used. It has helped us build an Agentic RAG answer engine, based on unique healthcare institutional content, to offer instant, validated support to medical professionals at the point of care.”
View case study →Trust is the product. Accuracy alone isn’t enough at enterprise scale—what matters is provenance, traceability, and control. LandingAI gives us confidence that every extracted value can be traced back to its source, audited, and defended. That’s what makes it deployable in regulated, real-world environments.”
View case study →