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.

While LLMs excel at text generation and reasoning, predictive databases offer superior accuracy, reliability, and statistical power for structured data analysis. This systematic comparison explores when to use each approach for maximum business impact.

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.