Case Study: John Hancock achieves 75% reduction in manual data processing and higher accuracy with AntWorks' ANTstein

John Hancock, a large insurance provider, uses ANTsteinTM to automate data extraction for claims processing, eliminate manual tasks and increase business productivity

John Hancock, a large insurance provider, faced a heavy volume of policy-management documents that required manual handling, with vast amounts of unstructured data including bold and cursive handwritten text and signatures. To address this, John Hancock implemented AntWorks’ ANTstein™ integrated automation platform to automate data extraction, reduce manual keying, and improve verification of handwritten fields and signatures.

AntWorks cleaned and pre-processed images, classified documents using its DocID engine, extracted cursive handwriting with deep-learning techniques, and used a quality-check screen with assistive and adaptive machine learning before feeding validated data into downstream systems via APIs. The AntWorks solution delivered measurable impact — including 65%+ accuracy for handwritten cursive recognition (improving with training), a 75% reduction in manual workforce for data extraction, faster turnaround, and higher overall productivity and accuracy.

John Hancock