AI Cash Application Agent

Bonami's agent achieves 90–95% straight-through auto-match rates in production. Structured remittances (EDI 820, portal payments with invoice references) typically reach 93–95% within 30 days, while unstructured remittances stabilise at 88–92% after 60–90 days of ML training on your payment history.

Native connectors for SAP S/4HANA, Oracle Fusion Receivables, NetSuite, Microsoft Dynamics 365 Finance, and Workday Financials.

For payments with no remittance, the agent first matches the amount to open invoices for the payer identified by bank account, then applies ML models trained on that customer's payment history to predict which invoices are being settled.

When a customer short-pays, the agent classifies the deduction using remittance advice, reason codes, and the customer's open claims, trade promotion history, freight agreements, and returns authorisations.

Yes — multi-currency processing is a core capability. The agent applies real-time exchange rates to validate foreign currency payments against local-currency invoices within contractual FX tolerance bands, with matching rules configurable by customer, payment method, and invoice value.

A standard implementation runs 5–8 weeks. Weeks 1–2 cover ERP and bank connectivity plus ML model initialisation on 3–6 months of payment history; weeks 3–4 are parallel-run validation and tuning; weeks 5–6 phase in go-live from highest-volume payment types; weeks 7–8 reach full production and AR team training.

Manual cash application costs $6–$12 per payment; AI-automated processing runs below $1 — an 85–92% cost reduction, or $1.1M–$2.2M in annual savings for an enterprise processing 500 payments a day.

Manual accounts receivable cash application requires staff to retrieve remittance files, decode payment references, and key each match into the ERP.

Yes. Bonami cash application software is built for high volume accounts receivable cash application across manufacturing, distribution, retail, SaaS, and financial services.