TransportationDocument IntelligencePublic Cloud

AirAsia drives 97% invoice posting accuracy

AirAsiaOracle Fusion Cloud ERP

AirAsia implemented Oracle Fusion Cloud ERP with AI-based invoice data capture, duplicate detection, supplier validation, approvals, posting, and exception review in a single platform for its accounts payable operations. For its initial top-nine-vendor group, invoice processing cycle time fell by 80%, invoice posting accuracy reached 97%, manual data entry effort dropped by 80%, and more than 30% of routine AP tasks became fully automated. AirAsia is positioned to evaluate Fusion Agentic Applications, including Payables Agent and Payments Agent, to further automate exception handling.

Overview

AirAsia implemented Oracle Fusion Cloud ERP with AI-based invoice data capture, duplicate detection, supplier validation, approvals, posting, and exception review in a single platform for its accounts payable operations. For its initial top-nine-vendor group, invoice processing cycle time fell by 80%, invoice posting accuracy reached 97%, manual data entry effort dropped by 80%, and more than 30% of routine AP tasks became fully automated. AirAsia is positioned to evaluate Fusion Agentic Applications, including Payables Agent and Payments Agent, to further automate exception handling.

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The challenge

AirAsia operates in a travel environment where supplier reliability, station operations, route support, cash discipline, and operational continuity are closely connected; manual AP effort and posting exceptions made supplier finance control a practical priority.

The solution

AirAsia chose Oracle Fusion Cloud Enterprise Resource Planning (ERP), combining AI-based invoice data capture, duplicate detection, supplier validation, approvals, posting, exception review, and AP reporting inside one platform to build a governed payables process.

Document IntelligenceFraud & Anomaly Detection

Reported business value

For its initial top-nine-vendor group, invoice processing cycle time fell by 80%, invoice posting accuracy reached 97%, manual data entry effort dropped by 80%, and more than 30% of routine AP tasks became fully automated.

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