Billtrust has launched the first accounts receivable platform to connect live invoice-to-cash intelligence to AI assistants Claude and Microsoft Copilot via the Model Context Protocol. Finance teams can now query AR data using plain language directly within these AI tools, receiving instant answers about cash flow, invoice ageing, and payment risk without logging into separate platforms. The Billtrust MCP Server provides structured, read-only access across invoicing, payments, cash application, and AR analytics. Users can ask questions such as "Which accounts are trending late?" and receive ranked lists by outstanding balance and days past due. The system draws on Billtrust's payment intelligence network, which processes data from 13 million buyers and over $1 trillion in annual invoice volume. Future updates will enable users to take action directly within AI workspaces, including sending collections outreach and applying payments. Each customer's data remains isolated within their environment, with complete audit trails for all queries.

Billtrust has launched new AI-driven capabilities including a Buyer Payment Portal and Cash Forecasting tool designed to accelerate collections and improve cash flow visibility. The Nashville-based B2B accounts receivable software company also announced expanded payment controls and international payment options. The Buyer Payment Portal offers a self-service experience where buyers can view invoices, manage balances and make payments whilst receiving smart recommendations on payment timing based on supplier policies. The system highlights opportunities for early-pay discounts and surcharge avoidance. The Cash Forecast capability generates a self-updating 13-week AR cash forecast by analysing payment activity and invoicing data. An alert layer monitors buyer-level behavioural signals such as payment timing changes and Autopay enrollment shifts, enabling earlier liquidity planning decisions. Billtrust processes over $1 trillion in invoice dollars annually.

Billtrust, a B2B accounts receivable software provider, has launched Agentic Credit Lines, an AI-powered tool that helps finance teams identify payment risks and make faster credit decisions. The capability analyses payment history, utilization patterns and external credit data using Billtrust's network of 13 million buyers and 25 years of payment intelligence. The system monitors over 80 data points in real time and generates risk scores for every buyer, flagging accounts that cross configurable thresholds. It provides prioritised account reviews and audit-ready credit limit recommendations with transparent rationale, enabling teams to address issues before they affect cash flow. Agentic Credit Lines is embedded in Billtrust's Credit Review workflow and maintains human oversight whilst scanning entire portfolios rather than just high-risk customers.