ACCOUNTGUARD AI as Continuous Accounting Intelligence for Early Revenue Fraud Detection in Cashless Companies (Corelytics Insights into Business and Accounting Systems)

Summary

• ACCOUNTGUARD AI is developed as an artificial intelligence model to perform continuous continuous accounting monitoring and early revenue fraud detection in cashless companies [p.1].p.1
• The framework relies on an architecture consisting of four connected layers to process transactions from source systems to final audit resolution [p.9].p.9
• The hybrid fraud detection engine integrates rule-based rules, unsupervised anomaly detection, supervised classification, and graph analytics into a risk score from 0 to 100 [p.1].p.1
• The research methodology followed a conceptual design process structured across five stages from problem identification to evaluation [p.6].p.6
• A comprehensive literature review synthesized theoretical foundations across six interrelated themes combining accounting and technology research [p.7].p.7

Key insights

1. 1. Digital transformation and cashless payment ecosystems drastically expand transaction volumes and introduce complex operational risks into the revenue cycle [p.2].p.2
2. 3. Revenue fraud manifests through distinct indicators across cycle stages, including synthetic accounts at ordering and unauthorized digital voucher misuse at refund [p.8].p.8
3. 4. Consolidating multi-system records via a unique transaction fingerprint resolves data fragmentation across ERPs, POS terminals, and payment gateways [p.9].p.9