Sold by: Leapfrog Technology, Inc.
Automate your document workflows end-to-end with Leapfrog’s Intelligent Document Processing that instantly turns unstructured faxes, PDFs, and scanned files into structured data with total accuracy.
Overview
Leapfrog's Intelligent Document Processing automates document ingestion, data extraction, validation, and system commit end to end. Driven by our prebuilt accelerators — HealthWeaver, Addy, and DocWeaver — it ingests unstructured faxes, PDFs, images, and scanned files and turns them into structured data written straight into core systems.
Technical specifications: Amazon Bedrock, Amazon Bedrock AgentCore, AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon SQS.
Ideal applications: Referral and medical-record intake — extract data from faxed and scanned patient referrals and register it directly in the EMR/EHR. Financial document extraction — ingest, parse, and validate financial statements, applications, and claims. Enterprise operational workflows — classify multi-page documents and route exceptions automatically.
Business outcomes: Up to 90% less manual document-processing effort, processing roughly 80% faster, fewer errors, and streamlined operations.
Differentiators: Proven accelerators delivering up to 98% extraction accuracy in configured workflows and removing up to 4 FTEs of manual work per deployment.
Typical Engagement: 3–6 weeks
Highlights
- Competency: Proven proprietary accelerators, backed by our Advanced tier partnership with AWS AI Competency with GenAI and Agentic AI Consulting Services. HealthWeaver, Addy, and DocWeaver shorten deployment from months to weeks.
- Use cases: End-to-end workflow automation. Ingests multi-format files, extracts the critical fields, runs cross-field validation, and commits data into core systems.
- Approach: High-accuracy automation. LLM and OCR extraction balanced with confidence scoring and human-in-the-loop exception handling.
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