Overview

Auto QC for higher productivity is a module of the CMR+ (Cognitive Machine Reading) platform from AntWorks that automates quality control and verification of document processing outputs. It assesses extracted data, classifications, or predictions using confidence-score thresholds and business-rule validations, flags results that fall below thresholds, and thereby reduces human review workload, accelerates turnaround, and supports higher productivity.

Features and Capabilities

• Confidence-score customization: Allows users to define thresholds for automatic acceptance vs. manual review of extraction/classification results.
• Validation rules beyond scores: Enables additional business rules, data patterns, or regulatory criteria to be incorporated into QC workflows.
• Multi-format document ingestion: Supports input of images, JPEG/TIFF/PDF, MS Word, RPA, or DMS sources.
• Pre-processing & indexing: Performs noise reduction, orientation/skew correction, background suppression, classification, and indexing.
• Extraction of structured & unstructured data: Handles natural language, handwritten text, structured tables, and unstructured documents.
• Human-in-the-loop training: Offers a feedback loop where corrections feed the ML models, enabling continuous learning.
• Real-time monitoring & adjustment: Provides dashboards or feedback mechanisms to track QC results and refine thresholds over time.
• Cloud/scale readiness: Designed for enterprise volume, scalable to high document throughput, and adaptable across industries.
• Low-code/citizen-developer friendly: Facilitates configuration without extensive coding effort.