A global fleet management and insurance company automated traffic citation processing by using a hybrid approach (LLMs to handle 80% of citation documents and deterministic data extraction methods for the 20% edge cases). They now process thousands of violations daily, allowing for same-day fine payment and real-time updates to driver risk profiles. The approach proved effective because traffic citations, though widely variable in format, are short documents with clear field labels that suit LLM extraction well.
Two insurance companies automated loss run document processing to expedite underwriting using different strategies suited to their business needs. An Insurtech company used Sensible’s managed services to automate processing complex workers’ comp loss runs, while an underwriting platform took a self-service approach and built extraction templates to process tens of thousands of documents monthly across many formats. Company A optimized for depth and precision in a specialized domain, while Company B optimized for breadth and flexibility.
Parse bank statements, pay stubs, tax forms, and more
Parse loss runs, ACORD forms, policies, and more
Parse offering memos, closing disclosures, rent rolls, and more
Parse rate confirmations, bills of lading, invoices, and more
Parse EOBs, policies, payer confirmations, and more
Leverage Sensible's solution engineers to tackle any document automation use case
Real-time bank statement processing
Extract identification details from driver's licenses
Instantly parse policy declaration pages
Extract data from utility bills in seconds
Bringing structure to unstructured data
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Sensible is SOC2 certified and HIPAA compliant
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Learn more about Human Review: a powerful new feature that allows you to easily add manual oversight to your document extraction process.
Sensible’s new Multimodal Engine uses LLMs to extract data from non-text and partial text images embedded in a document, including pictures, charts, graphs, and handwriting.
Sensible’s approach and how it works
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How Sensible extracts structured data from documents.
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With email-driven document extraction, organizations can automatically extract structured data from document attachments by simply forwarding emails to Sensible. Using LLM-based classification, the platform intelligently processes any number of attachments per email, optionally parses email bodies, and delivers comprehensive extraction results with metadata via webhook—eliminating manual document handling across industries.
We're excited to announce a significant enhancement to Sensible's document extraction capabilities with the introduction of agentic LLM workflows.
