Innovation Hub

Proservartner’s KYC Vendor Onboarding Automation streamlines the traditionally manual and complex onboarding process by automating pre-processing, document processing, and post-processing. Powered by ABBYY’s Intelligent Document Processing (IDP) platform, the solution uses advanced OCR, AI-driven classification, and machine learning to capture, extract, validate, and integrate data from diverse KYC documents. This results in faster onboarding, improved compliance, reduced operational costs, and enhanced vendor experience.

An AWS serverless application that automatically processes contract documents using AI services. The system receives contracts via email, extracts text using ABBYY OCR, analyzes contract terms with OpenAI, and stores the results in Notion.

Explore advanced workflow automation, focused on constructing a Model Context Protocol (MCP) server tailored for intelligent document processing tasks.

A workflow that ingests pharmaceutical testing documents, extracts and validates test data, then checks compliance with test methods and specifications using GenAI.

Global invoice processing teams face a significant challenge with multilingual documents, especially when trying to accurately identify key fields from scanned invoices. The Smart Translator solution addresses this by integrating the intelligent document processing of ABBYY Vantage with the real-time translation capabilities of ChatGPT. During the manual review stage, users can instantly select and translate unfamiliar text directly within the document. This eliminates the need for external translation tools or rigid mapping documents, dramatically improving the accuracy, speed, and consistency of processing invoices from any region.

Some documents still require human-like interpretation even with advanced OCR and LLMs. AI Manual Review combines ABBYY Vantage’s extracted data and business rule errors with LLM reasoning to automatically resolve ambiguous cases. This approach mimics expert judgment, applies compliance rules, and feeds corrections back into ABBYY workflows — creating a self-improving automation loop that boosts accuracy and straight-through processing.

ABBYY’s intelligent automation streamlines health claim workflows by automatically ingesting, classifying, and extracting data from documents such as CMS-1500, UB-04, and ADA forms. Enhanced with LLM-based data extraction, the solution converts information into EDI 837 format for direct input into claims adjudication systems. This reduces manual effort, accelerates processing, lowers operational costs, and improves member satisfaction.

FineReader Server is a core component in many document management and automation workflows, but its full indexing capabilities are often underutilized. By leveraging document indexing, users can add and manage metadata that can be used to name output files, drive workflow logic, or integrate with external automation tools. This enables more complete, flexible, and intelligent document automation processes for clients.

Manual triage of RFP and bid documents is slow, inconsistent, and error-prone. This solution automates the process by using ABBYY Vantage to convert unstructured documents into searchable, structured text, which is then analyzed by OpenAI against predefined “for us / not for us” criteria. The system delivers an approve or deny recommendation with supporting rationale, reducing review time, improving decision accuracy, and minimizing the risk of missed opportunities.