Build intelligent transaction matching and anomaly detection system that automatically reconciles billing data across CustomersDot, Zuora, and payment processors with contextual understanding. **Acceptance Criteria:** 1. AI-powered transaction matching with 90%+ automation rate 2. Contextual interpretation of inconsistent transaction naming 3. Real-time cash position monitoring and alerts 4. Automated parsing of remittance advice from emails 5. Proactive identification of revenue leakage 6. Integration with existing financial reporting systems **Technical Approach:** * LLM-based transaction matching with contextual understanding * Real-time data streaming for immediate anomaly detection * Integration with banking APIs and payment processors