Billtrust, a leading B2B cash generation platform, has unveiled its latest offering, the Billtrust MCP Server, positioning itself as the first accounts receivable (AR) platform to integrate live invoice-to-cash intelligence with prominent AI assistants via the Model Context Protocol (MCP). This innovative development allows finance professionals to query their real-time AR data directly through platforms like Microsoft Copilot and Claude, facilitating rapid access to data-driven insights without the need to navigate multiple systems. For instance, a CFO can now receive an executive summary on AR risk at quarter-end with a simple voice command, significantly enhancing the efficiency of financial operations.
The MCP Server provides structured, read-only access across four key areas: invoicing, payments, cash application, and AR analytics. This functionality enables users to ask specific questions, such as identifying accounts that are trending late, and receive ranked lists based on outstanding balances and overdue days, all without the cumbersome process of generating reports. Billtrust’s robust AR intelligence, which draws from anonymized payment data from 13 million buyers and over $1 trillion in annual invoice volume, underpins this capability, ensuring that the insights are both comprehensive and actionable.
Lee An Schommer, Billtrust's chief product officer, emphasized the importance of making AR data readily accessible within the AI workspace where finance teams are already operating. This approach addresses the growing challenges associated with traditional AR and ERP systems, which are increasingly fragmented due to the proliferation of multiple platforms resulting from acquisitions and regional operations. Schommer noted that many companies now manage an average of three ERPs, leading to data silos that complicate financial decision-making. By integrating AR data into AI environments, Billtrust aims to streamline operations and enhance the financial decision-making process for its clients.
The MCP Server provides structured, read-only access across four key areas: invoicing, payments, cash application, and AR analytics. This functionality enables users to ask specific questions, such as identifying accounts that are trending late, and receive ranked lists based on outstanding balances and overdue days, all without the cumbersome process of generating reports. Billtrust’s robust AR intelligence, which draws from anonymized payment data from 13 million buyers and over $1 trillion in annual invoice volume, underpins this capability, ensuring that the insights are both comprehensive and actionable.
Lee An Schommer, Billtrust's chief product officer, emphasized the importance of making AR data readily accessible within the AI workspace where finance teams are already operating. This approach addresses the growing challenges associated with traditional AR and ERP systems, which are increasingly fragmented due to the proliferation of multiple platforms resulting from acquisitions and regional operations. Schommer noted that many companies now manage an average of three ERPs, leading to data silos that complicate financial decision-making. By integrating AR data into AI environments, Billtrust aims to streamline operations and enhance the financial decision-making process for its clients.
Source: PYMNTS
