Payment Reconciliation

Automate payment matching and reconciliation to improve cash flow and reduce errors

Business impact

• Days Sales Outstanding (DSO) — AI accelerates payment matching, reducing the time to collect receivables
• Reconciliation Accuracy — Automated matching reduces human errors and discrepancies in payment records
• Operational Efficiency — Automation decreases manual workload, freeing staff for higher-value tasks

Data requirements

• Invoice and Payment Records (Structured) — Used to match payments against invoices and detect discrepancies
• Email and Communication Logs (Text) — Analyzed to resolve payment queries and support negotiation workflows
• ERP and Accounting Systems (Structured) — Provide real-time financial data for reconciliation and reporting

AI methods and techniques

• Predictive AI — Predicts payment matches and flags anomalies for review
• Agentic AI — Autonomously communicates with customers to resolve payment issues

AI models and model families

GPT-4, Claude, Custom ML models for payment matching