Singapore, 28 April 2025 – BlackLine, Inc. (Nasdaq: BL) has been named in the latest Forrester Report: Top AI Use Cases for Accounts Receivable Automation in 2025, recognising its leadership across three critical categories: Collection Management, Explainability and Transparency, and Model Bias and Inaccuracy.
The report noted:
“BlackLine trains AI models with diverse data sets to minimise bias and continuously monitors prediction accuracy, with human reviews to ensure performance.”
“Finance and accounting leaders need AI they can trust—not just to automate workflows but to enhance judgement, manage risk, and preserve data integrity,” said Charlie Gaulke, Senior Vice President of Product Management at BlackLine. “Being recognised for mitigating model bias and boosting accuracy highlights our focus on delivering responsible, explainable, and user-controlled AI for today’s CFOs.”
AI for Transparent, Trusted Financial Operations
BlackLine’s AR Intelligence solution was cited for:
- Collection Management: “BlackLine’s AR Intelligence forecasts invoice payments, enabling proactive collection.”
- Explainability and Transparency: “BlackLine provides visualisations, dashboards, and interfaces to help users interpret AI outputs, using interpretable models and explainable AI techniques for transparency.”
By applying machine learning, BlackLine’s AR Intelligence helps organisations lower days sales outstanding (DSO), improve working capital, and enhance cash forecasting accuracy, while ensuring users have full visibility into AI-driven insights.
“Our vision is to deliver autonomous finance for every business,” said Jeremy Ung, Chief Technology Officer at BlackLine. “That means empowering humans to become exception handlers and reviewers, while AI handles the heavy lifting. In 2025, we aim to automate preparer and collector roles while augmenting reviewer and approver functions—advancing faster, smarter, and more trusted financial operations.”
The Forrester: Top AI Use Cases for Accounts Receivable Automation in 2025 report, authored by Meng Liu and contributors, was published on 14 March 2025. It provides a strategic roadmap for finance and technology leaders looking to integrate AI into their AR processes effectively.
