AI Bank Reconciliation
Machine learning-powered reconciliation that understands context, learns from corrections, and matches transactions that rule-based systems miss.
Intelligent Transaction Matching
Traditional reconciliation software relies on rigid matching rules: exact amounts, similar descriptions, close dates. But real-world transactions are messy. Bank descriptions rarely match your records exactly. Payments get split. Timing varies.
Zera Books AI reconciliation understands this messiness. It recognizes vendor variations, identifies split payments, handles timing differences, and learns your specific transaction patterns. The result: dramatically higher automatic match rates with fewer false positives.
AI Capabilities
- Vendor name recognition
- Split payment detection
- Continuous learning
- Confidence scoring
Frequently Asked Questions
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