Introducing a hybrid approach to using Document AI and GenAI
Quality Analytics
Increase straight-through document processing with data-driven insights

Analytics that will transform efficiency
Tailored specifically for enterprise workflows, our powerful Quality Analytics tool provides detailed insights and actionable recommendations to enhance your touchless processing rates and data extraction quality. By leveraging data-driven insights, businesses can achieve higher efficiency and improve overall outcomes. Optimizing processing with analytics not only streamlines operations but also empowers automation leads with the information needed to drive higher touchless processing rates and achieve automation goals. This results in reduced operational costs, faster turnaround times, and the ability to adapt to market changes with agility.
Advanced quality analytics provides deep understanding of document processing performance and guides enhancement through actionable insights and recommendations. You understand performance development and straight-through processing over time. You can quickly identify root causes and receive tailored recommendations for optimizing data extraction quality. All of this ensures continuous improvement of your processes and superior business outcomes within your intelligent document processing (IDP) workflow.
Illuminate every aspect of your document processing performance
Trend analysis for touchless processing
Monitoring and analyzing document processing trends is crucial for identifying performance patterns. By keeping a close eye on these trends, organizations can pinpoint areas for improvement, leading to enhanced efficiency and productivity. Leveraging these insights allows teams to make informed decisions, ultimately driving better outcomes and optimizing overall performance.
Misclassification diagnostics
Targeted recommendations provide accurate suggestions to address classification issues, ensuring that documents are categorized correctly every time. Misclassification leads to documents not being associated with the correct AI document model for extraction, resulting in missing or poor extraction results and the need for manual intervention. This precision not only enhances the efficiency of document processing but also reduces the likelihood of errors, ultimately saving time and improving overall workflow for users in any organization.
Data extraction quality spotlight
To optimize accuracy, it’s crucial to identify specific document sources, types, fields, and business rules that often need manual intervention. However, extraction quality can be influenced by various factors, including document quality and the effectiveness of model training. Addressing these aspects ensures more reliable and efficient processing.
Proactive notifications
Stay ahead of potential issues with real-time alerts that highlight areas needing attention. These alerts come equipped with recommended actions, allowing for swift resolutions to problems as they arise. By proactively addressing performance issues, you can ensure smoother operations and maintain optimal automation results.
Data visualization
The Vantage UI provides flexible analysis options, allowing users to analyze performance data seamlessly. Whether you prefer working within the intuitive Vantage interface or utilizing your chosen analytics tool, API integration ensures that you can access and interpret data in a way that suits your workflow and enhances decision-making.
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Deepen your understanding of quality analytics
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Intelligent document processing pipeline
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*The quality analytics data warehouse is available in ABBYY Vantage today, data visualization requires currently a third-party solution.























