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.

RPA specialist Q-Factory and home renovation company Jokiväri were the first to experience the power of the Aito Evaluations feature.

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

ML in RPA 1) can be very rewarding, 2) it requires a different mindset and 3) it can be easy

Aito powers the new invoice automation process of Posti and significantly improves invoice approval times.