Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
A life insurance technology company automates underwriting workflows that require processing massive volumes of complex documentation, from medical reports to decades-old scanned PDFs.
About 60% of underwriting cases include documentation averaging 75 pages, with some files extending to 1,000 pages of mixed text and images. A legacy...
“LlamaIndex helped us build a scalable, intelligent ingestion pipeline that understands documents, connects them to context, and keeps improving over time.”
AI-powered underwriting and medical record analysis for life insurance.
Data framework and agentic OCR platform for building LLM-powered applications.
Pathwork's Insurance document processing is part of this use case:
Related implementations across industries and use cases
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Legacy systems choked on 1,000-page medical files. AI now converts handwritten notes and 1970s scans into structured data.
A life insurance technology company automates underwriting workflows that require processing massive volumes of complex documentation, from medical reports to decades-old scanned PDFs.
About 60% of underwriting cases include documentation averaging 75 pages, with some files extending to 1,000 pages of mixed text and images. A legacy...
“LlamaIndex helped us build a scalable, intelligent ingestion pipeline that understands documents, connects them to context, and keeps improving over time.”
AI-powered underwriting and medical record analysis for life insurance.
Data framework and agentic OCR platform for building LLM-powered applications.
Pathwork's Insurance document processing is part of this use case:
Related implementations across industries and use cases
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Loan officers spent hours manually scanning 500-page guidelines. Now, AI retrieves exact policies to answer clients in minutes.
Malformed PDFs forced engineers to manually patch pipelines. AI agents now parse complex files into clean markdown, ending manual fixes.
Basic PDF readers failed on messy scans. A new engine now turns complex bank reports into clean, structured tables for analysis.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Agents spent up to 6 minutes writing inconsistent notes. Now, AI instantly summarizes 55,000 weekly calls directly into the CRM.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.