Implemented an Azure-native AI platform to automate chargeback document processing, improving accuracy, reducing operational effort, and enabling faster, compliant financial operations.
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The challenge
The organisation faced low operational efficiency due to manual document analysis and fragmented systems across multiple tools and platforms. Human errors in processing chargeback documents led to inconsistencies and compliance risks with complex card scheme and issuer rules. Limited data traceability and disconnected integrations made it difficult to track transactions and decisions, while strict processing deadlines created significant operational pressure.
The approach
Designed and implemented an AI-driven solution leveraging Microsoft Azure to automate chargeback processing using OCR and intelligent document understanding. The platform extracts and interprets data based on issuer and card scheme rules, integrating seamlessly with existing enterprise systems and external APIs. It connects to multiple data sources, including cloud storage and databases, and centralises workflows into a unified interface. Automated version control and document management ensure consistency, while providing analysts with a streamlined environment for decision-making.
The outcome
Delivered a highly efficient and scalable chargeback processing platform that increased processing speed by over 90% and significantly reduced human error. The solution improved accuracy, ensured compliance with strict deadlines, and reduced operational costs. Centralised data and workflows enhanced traceability and control, while providing a better experience for both internal teams and customers. The platform establishes a strong foundation for continued automation and optimisation of financial operations.
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