Extract and structure data from applications, loss runs, financial statements, and ACORD forms. Process underwriting submissions in seconds, not hours.
“Submission review dropped from 45 minutes to 3 minutes per file. Our underwriters spend their time on risk assessment now, not data entry from loss runs and applications.”
“Cleared 800 submissions in one renewal cycle without adding staff. We used to bring on three temps every Q4 just to handle the intake backlog.”
“Reduced E&O exposure from manual keying errors by 94%. The automated extraction catches policy numbers and limit values that humans transpose under time pressure.”
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop submission packages, connect a cloud drive, or set up email auto-forwarding from your underwriting inbox. PDF, JPEG, PNG, TIFF, and digital documents all work.
The AI identifies fields by context, not fixed coordinates. Named insureds, policy numbers, loss history, coverage limits, financial ratios, and ACORD form data are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your underwriting workbench or rating engine.
A commercial underwriter reviewing a new submission spends most of their time on data entry, not risk assessment. The typical submission package arrives as a PDF bundle: an ACORD application, three to five years of loss runs, financial statements, supplemental questionnaires, and prior policy declarations. Manually keying this data into a rating engine or underwriting workbench takes 30 to 60 minutes per submission. During renewal season, that backlog compounds fast. Carriers report that 40% of underwriter time goes to administrative intake work rather than the judgment calls they were hired to make. For background on this shift, see our guide on what underwriting automation is and why carriers are adopting it. Insurance OCR tools have addressed parts of this problem for years, but most rely on templates that break when carrier formats change.
Template-based extraction fails on underwriting documents because the input is inherently varied. A loss run from Zurich looks nothing like a loss run from Chubb. ACORD forms follow a standard in theory, but brokers annotate them, agents add handwritten notes, and supplemental questionnaires differ by line of business. A template built for one broker’s submission format produces garbage on another’s. Underwriting OCR systems that require per-carrier configuration create a maintenance burden that scales linearly with the number of markets a carrier or MGA writes with.
AI-powered underwriting automation reads documents the way an experienced underwriter does: by understanding what each field means in context. The AI identifies named insureds, policy periods, coverage limits, loss amounts, and financial ratios regardless of where they appear on the page or how the document is formatted. Lido processes any carrier or broker format on the first upload without setup. Batch processing handles renewal season volume, and the REST API feeds structured data directly into underwriting software and rating platforms. Teams evaluating their options can compare the best insurance underwriting software or read about underwriting workflow automation patterns that go beyond document extraction.
For carriers and MGAs evaluating automation, the practical test is straightforward: upload your hardest submissions and see what comes back. The messiest loss runs, the broker packages with handwritten annotations, the supplemental forms that differ by line of business. Claims document processing follows the same principle. If extraction works on your worst documents, it will work on everything else.
Underwriting automation handles applications, loss runs, financial statements, ACORD forms, supplemental questionnaires, prior policy declarations, MVRs, inspection reports, and broker submission packages. The AI identifies the document type and extracts relevant fields automatically, regardless of which carrier or broker format is used.
AI-powered extraction reads each document contextually, identifying fields by their meaning rather than their position on the page. A loss run from Travelers and a loss run from Hartford are both processed correctly without carrier-specific templates or configuration.
Yes. The REST API returns structured JSON with field-level confidence scores, enabling direct integration with underwriting workbenches, policy administration systems, and rating engines. Extracted data can also be exported to Excel, Google Sheets, CSV, or JSON for manual review workflows.
The AI reads handwritten annotations, broker notes, and agent markups on applications and supplemental forms. This includes margin notes, circled values, and handwritten corrections that template-based OCR tools cannot process.
All documents are encrypted with AES-256 at rest and TLS 1.2+ in transit. Documents are deleted within 24 hours of processing with no copies retained. The platform is SOC 2 Type 2 certified with audited controls over a sustained period.
Start free with 50 pages. Upgrade when you’re ready.
Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine