BlackLine recognised for AI in accounts receivable by 2025

BlackLine has been acknowledged in the Forrester Report: Top AI Use Cases for Accounts Receivable Automation in 2025 for its utilisation of artificial intelligence within the accounts receivable (AR) function.

The report recognises BlackLine for its capabilities in three main categories: Collection Management, Explainability and Transparency, and Model Bias and Inaccuracy. The firm has focused on transforming AR processes through these areas.

The report praises BlackLine for its approach to minimising bias and ensuring accuracy in AI predictions. "BlackLine trains AI models with diverse data sets to minimize bias and continuously monitors prediction accuracy, with human reviews to ensure performance," it states.

Commenting on the recognition, Charlie Gaulke, Senior Vice President of Product Management at BlackLine, expressed the company's objectives. "Finance & accounting leaders want AI they can trust—not just to automate workflows, but to enhance judgment, reduce risk, and ensure data integrity," he said. "For us, being recognized for mitigating model bias and increasing accuracy reflects our commitment to delivering responsible, explainable, and user-controlled AI—grounded in the real-world needs of the Office of the CFO."

BlackLine's AR Intelligence has been highlighted for Collection Management by forecasting invoice payments, which allows businesses to take a proactive approach to collections. The company is also noted for providing Explainability and Transparency through their use of visualisations, dashboards, and interpretable models.

The AR Intelligence solution utilises machine learning to assist organisations in decreasing days sales outstanding, enhancing working capital performance, and increasing cash forecasting accuracy. It ensures transparency in how AI-generated insights are formulated and validated.

BlackLine's Chief Technology Officer, Jeremy Ung, shared the company's broader ambitions. "Our vision is to bring autonomous finance to every company in the world," he stated. "That means using AI not just to automate tasks, but to elevate human judgment—so people become exception handlers and reviewers, while AI handles the heavy lifting. In the year ahead, we're focused on automating the preparer and collector roles and augmenting the reviewer and approver. It's part of our broader mission to deliver agentic, explainable, and high-impact AI use cases that move the Office of the CFO toward faster, smarter, and more trusted financial operations."

The report was authored by Meng Liu and provides a comprehensive roadmap for finance and technology leaders aiming to adopt AI effectively within AR processes.