The AI Transformation In Accounts Receivable

In the dynamic world of finance, AI is transforming accounts receivable (AR) processes, driving efficiency and accuracy like never before. Our latest report, Top AI Use Cases For Accounts Receivable Automation In 2025, explores the groundbreaking ways AI is reshaping AR, from collection management to electronic invoice presentment. The report highlights five key use cases where AI is making a significant impact:

  1. Collection management. AI technologies such as ML and predictive analytics are enhancing collection management by assessing at-risk payments and forecasting overdue account recovery. Companies like Serrala and BlackLine are leveraging AI to tailor collection strategies and forecast invoice payments, improving collection prioritization and efficiency.
  2. Cash application. AI is streamlining cash application processes by analyzing historical invoice and payment patterns to automatically apply new incoming payments to open invoices. Solutions from Quadient and HighRadius are automating payment allocation and providing personalized insights on payments and invoices.
  3. Payment notice management. AI-driven text analytics, ML, and generative AI (genAI) are optimizing payment notice management. Quadient uses ML to categorize inbound AR emails, while genAI generates email replies and templates to save employees’ time.
  4. Deduction management. AI is significantly automating deduction management, particularly in the consumer packaged goods and retail industries. HighRadius uses prescriptive analytics to prioritize deductions based on their likelihood of being invalid, while Serrala’s predictive AI analyzes past behavior to predict unauthorized deductions.
  5. Electronic invoice delivery and presentment. AI is enhancing e-invoice delivery and presentment by automating the generation of invoices in compliant formats. Serrala uses genAI to convert complex e-invoices to PDFs for quick review by auditors and approvers.

Choose The Right AR Use Case

Our report also features two insightful heatmaps that illustrate AI’s impact on AR automation. These heatmaps provide a clear visual representation of AI adoption among enterprises (see below graphic) and future investment priorities across various AR use cases, helping finance and technology leaders make informed decisions about their AI strategies.

 

The future of finance is bright with AI at the forefront. By adopting the right AI technologies, companies can achieve significant improvements in efficiency, accuracy, and cost savings in their AR processes. Dive into our full report, Top AI Use Cases For Accounts Receivable Automation In 2025, to explore these insights in detail and prepare your organization for the AI-driven future of finance. Forrester clients can schedule a guidance session or inquiry with me to discuss this topic more.