Accounts Receivable (AR) has long been one of the most critical yet resource-intensive areas of financial operations. Manual follow-ups, unstructured payment terms, and inconsistent credit behavior lead to cash flow bottlenecks. With the rise of AI in enterprise software, AR automation is reshaping how companies collect, track, and forecast receivables.

1. Why Traditional AR Systems Are Failing

Outdated spreadsheets, disconnected data, and lack of real-time visibility cause delayed collections and higher risk. AR teams spend more time chasing payments than analyzing trends.

2. AI-Powered Automation: The New Standard

AI enhances AR operations by:

• Predicting late payments based on historical trends

• Segmenting customers by risk level

• Suggesting optimal follow-up strategies

• Forecasting 30/60/90-day receivables

3. Case Study: Reducing DSO with Predictive Invoicing

Companies using platforms like SValgo report up to 27% faster payments and 40% fewer disputes by automating collections and using real-time dashboards.

4. Integrations and Ecosystem

Modern AR platforms seamlessly integrate with ERPs (like SAP, NetSuite) and CRMs to centralize credit, collections, and payment communications.