Case Study: Mercer achieves 70% faster processing and 40% increase in accuracy with AntWorks' ANTstein

A AntWorks Case Study

Preview of the Mercer Case Study

Mercer, the world’s largest human resources consulting firm, implemented ANTstein™ to manage large volumes of data and provide optimised quotations to customers for new policies and renewals

Mercer, the world’s largest human resources consulting firm, faced slow insurance renewal and quotation processes, inefficient manual tasks and inadequate OCR-based data extraction across huge volumes of unstructured policy documents, which harmed customer experience and compliance. To address these challenges, Mercer implemented AntWorks’ ANTstein to manage large data volumes and provide optimized quotations for new policies and renewals.

AntWorks deployed ANTstein’s cognitive machine reading, AI/ML-driven pre-processing, indexing, enrichment and API/RPA integrations to convert unstructured inputs into structured JSON for Mercer’s downstream systems, with QC and feedback loops. The AntWorks solution eliminated manual keying, improved compliance and scalability, and delivered measurable results — 70% faster processing, a 40% increase in accuracy and support for 800 concurrent users — driving higher renewals, lower cost per quote and better customer experience.


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