AI Cash Application Agent

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

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

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 claims, trade promotion, freight, and returns history.

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 and payment method.

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 3–6 are parallel-run validation and phased go-live; 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. It is built for high-volume accounts receivable cash application across manufacturing, distribution, retail, SaaS, and financial services, ingesting lockbox files, EDI 820, email PDFs, customer portals, and bank API feeds, then applying four-layer matching to allocate each payment.