Case Study: Acume improves AP and AR accuracy with Affinda AI document processing

A Affinda Case Study

Preview of the Acume Case Study

Acume improve AP and AR workflows with AI

Acume, a New Zealand-based company specialising in transforming back-office financial processes, faced significant challenges with its previous US-based document processing provider. The provider's low accuracy on New Zealand-specific AP and AR documents and lack of local market focus caused inefficiencies. Needing a dependable solution tailored to the Australian/New Zealand market, Acume sought a new provider to ensure accurate document classification, high-accuracy data extraction, and seamless platform integration.

Affinda implemented its AI-powered document processing solution, providing pre-built extraction models that were customised for Acume's needs, including validation rules to flag discrepancies for review. The seamless integration allowed Acume to process over 40,000 documents monthly, resulting in a significant improvement in overall accuracy, a major reduction in manual data entry, and the ability to exceed their Service Level Agreements. Affinda's locally-focused solution provided the reliability and scalability Acume required.


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Acume

Shane Wills

Head of Finance Processing Disruption and CEO


Affinda

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