The evolution from rule-based automation to intelligent predictions is transforming how accounting teams process invoices, assign GL codes, and detect anomalies. This systematic analysis explores why predictive databases are becoming the preferred architecture for modern financial workflows.

Discover how Aito's enhanced predict endpoint automatically leverages entity properties to make intelligent predictions with minimal historical data, achieving 99%+ accuracy even for new vendors and expense categories.

Three ideas for using the historic purchase invoices dataset for implementing AI-driven controls to identify anomalies in invoices. With code examples!

Step-by-step guide to predicting product category from invoice data. 99.8% accuracy in 15 minutes by a non data scientist.