Intelligent Document Processing

Request a Demo to see how CleverDocs streamlines Intelligent Document Processing and ensures prompt action with AI-driven automation.
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Intelligent Document Processing

Problem: Over 80% of inbound insurance communications are unstructured and not readily usable.

Solution: CleverDocs’s AI-powered IDP engine.
Layered onto Intelligent Text Ingestion technologies—such as Image Processing, Optical and Intelligent Character Recognition—CleverDocs’s robust, proprietary AI and Machine Learning algorithms continuously improve the ingestion, identification and indexing of inbound communications.

CleverDocs facilitates significant improvements in all functions of IDP:

engineering

Data Capture

process

Data Extraction

filter-data

Data Validation

engineering

Data Integration

You’ve got mail—handwritten letters, PDFs, emails, images, voice recordings, forms etc. No problem!

CleverDocs can:

Parse semi / unstructured content and capture insurance-specific data
Extract and transform this data into structured, machine-readable format that conforms to your internal data definitions
Validate this information against your expected requirements and flag exceptions for manual review
Collate and record this information in your local or cloud repositories using Web API connectors
Picture
medical claim formJane smith

Clever Docs can further enhance straight-through processing beyond the Demand Identification by

Utilizing the extracted content and Core System data to index the document with an existing claim, automatically notifying the designated adjuster(s).
Offering simple configuration to send real-time automatic notifications to designated stakeholders, prompting timely action.
Read More On Demand Identification
CleverDocs

Experience the future of insurance operations with CleverDocs. Our platform harnesses advanced AI and deep learning to transform unstructured documents into actionable insights, streamlining claims processing and empowering your team with real-time, accurate data.

Phone Number

+1 510 209 0394

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