LenderAnalyzer reads every document that arrives with a claim — FNOL forms, ACORD submissions, loss runs, repair estimates, medical bills and police reports — and delivers clean, structured data into your claims management system in seconds, not days.
Insurance operations are document-heavy by nature. A single auto claim can arrive as a PDF FNOL, a scanned police report, three pages of medical bills and a repair-shop estimate — each in a different format. Manual keying means days of lag, transcription errors and adjuster capacity wasted on data entry instead of judgment calls. LenderAnalyzer eliminates that lag.
From the initial loss notice to the final subrogation letter, LenderAnalyzer reads the full stack — without templates and without per-carrier training.
Capture claimant details, policy number, loss date, coverage type and reported amount from ACORD 1, ACORD 25 and proprietary FNOL forms submitted by brokers or directly by policyholders.
Provider, CPT codes, billed/paid amounts, dates of service
Shop, parts list, labour hours, total repair cost
Coverage limits, deductibles, endorsements, effective dates
Prior claims history, loss dates, amounts paid, open reserves
Parties, vehicle info, officer details, narrative
Demand letters, liability docs, carrier identification
Damage descriptions, replacement value estimates, photos index
LenderAnalyzer integrates at the document-ingestion layer so your adjusters see clean, validated fields — not a PDF queue.
Documents arrive by email, portal upload, broker API or scanned mail. LenderAnalyzer accepts PDFs, TIFFs, JPEGs and multi-page batches.
AI identifies the document type — FNOL, police report, medical bill — then reads every field, table and narrative section, assigning a confidence score per field.
Fields below your confidence threshold surface in a lightweight review UI. Adjusters confirm or correct in seconds, not minutes.
Validated JSON pushes directly into Guidewire, Duck Creek, Majesco or any claims platform via REST API or webhook, eliminating re-keying.
Insurance documents are messy — faxed scans, handwritten accident descriptions, multi-carrier loss runs. LenderAnalyzer handles all of it.
{
"document_type": "fnol_acord1",
"status": "completed",
"confidence": 0.974,
"fields": {
"claimant_name": "Sarah M. Thornton",
"policy_number": "POL-2026-88341",
"loss_date": "2026-05-28",
"coverage_type": "auto_collision",
"reported_amount": 14200.00,
"fraud_flags": []
},
"supporting_docs": [
{ "type": "repair_estimate",
"total": 11840.00 },
{ "type": "police_report",
"report_number": "PD-2026-19204" }
]
}Claimant data is among the most sensitive information an enterprise handles. LenderAnalyzer's controls satisfy the requirements of both infosec teams and state regulators.
BAAs available for processing protected health information in medical bills and clinical records.
Independently audited security, availability and confidentiality controls — audit report available on request.
TLS 1.2+ in transit and AES-256 at rest. Documents are never stored beyond your configured retention window.
Enable automatic purge immediately after extraction so claimant data never persists on LenderAnalyzer infrastructure.
Enterprise identity with role-based access — restrict adjuster access to their own claim queues.
Every extraction event, review action and export is logged with timestamp and user identity for regulatory audit trails.
"Our adjusters used to spend the first forty minutes of every claim just keying data out of documents. LenderAnalyzer eliminated that entirely. We closed 30% more claims in the same headcount within two quarters."
"The accuracy on handwritten accident descriptions surprised us. It catches things our manual process missed."
"We integrated the API into our Guidewire instance in a week. Zero-retention mode cleared our data-governance review immediately."
Upload a FNOL or ACORD form to the live demo now, or talk to our team about a pilot with your own claims documents.
Have a question not covered here? Our team has answered hundreds of insurance-specific use cases.
Ask our teamLenderAnalyzer is pre-trained on the full ACORD library including ACORD 1 (Property Loss Notice), ACORD 25 (Certificate of Liability), ACORD 80 (Homeowners Application) and dozens more. It also handles carrier-specific FNOL formats without template setup.
Yes. The AI handles handwritten narrative fields common in police reports and accident statements. Confidence scores are assigned per field so any low-confidence handwriting surfaces for adjuster review before the data is pushed downstream.
LenderAnalyzer surfaces statistical anomalies — dates that predate the policy effective date, repair totals inconsistent with the described damage, policy numbers that appear on multiple unrelated claims — as structured flags in the API response. Your adjusters decide on action; LenderAnalyzer provides the signal.
Yes. Submit a ZIP or multi-file batch and LenderAnalyzer classifies, extracts and links each document — FNOL, repair estimate, medical bill — into a single structured claim record, with cross-document validation.
LenderAnalyzer exposes a REST API and webhooks, so it connects to any platform. Pre-built patterns exist for Guidewire ClaimCenter, Duck Creek Claims and Majesco. Implementation teams typically complete integration in under two weeks.
By default, documents and extracted data are retained for your configured period (minimum 1 day, maximum 7 years). Zero-retention mode purges everything immediately after extraction, leaving no PII on LenderAnalyzer infrastructure — ideal for HIPAA and state privacy regulation requirements.