/ Case Studies / AI-Powered AR/AP Matching Transforms Financial Operations for Leading Manufacturer Case Studies AI-Powered AR/AP Matching Transforms Financial Operations for Leading ManufacturerA leading North American process manufacturer partnered with Concurrency to modernize its Accounts Receivable (AR) and Accounts Payable (AP) operations using AI and automation. By deploying an intelligent receipt-matching solution, the organization significantly reduced manual workload, improved processing accuracy, and streamlined finance workflows—leading to greater operational efficiency and fewer errors in day-to-day transactions.Critical IssueAs transaction volumes grew, the company’s finance team faced mounting pressure to process incoming payments quickly and accurately. However, the traditional approach relied heavily on manual data entry and human review, which led to delays, mismatches, and customer service challenges. The lack of automation not only strained internal resources but also impacted the company’s ability to maintain strong financial controls and respond swiftly to payment discrepancies. The organization needed a modern solution to improve visibility, reduce errors, and free up time for strategic work.Customer ProfileNorth American Process ManufacturerOver $400 million in revenueKey ProblemManual matching of incoming payments to open invoices was labor-intensive, error-prone, and unable to scale effectively—creating bottlenecks that hindered operational efficiency and slowed customer responsiveness.our solutionConcurrency implemented a scalable, AI-powered solution for processing incoming payments and remittance data, built on Microsoft Azure. The system leverages machine learning for fuzzy invoice matching, integrates with Microsoft Teams via a Power App for finance team interaction, and automates exception handling to significantly reduce manual processing.Key components included:Azure Machine Learning for fuzzy matching algorithmsMicrosoft Power Apps in Teams for human-in-the-loop reviewAzure Storage and SQL for secure, scalable data handlingAutomated anomaly detection for faster exception resolutionThe solution was designed for ease of use, rapid adoption, and seamless integration into the organization’s existing financial processes.The resultsGreater operational efficiencyThe AI-powered solution eliminated repetitive manual tasks, reducing data entry errors by 50% and increasing processing speed by 30%. This allowed the finance function to scale more effectively without adding headcount.Improved Focus on Strategic WorkWith 20 hours per week saved through automation, finance team members were able to shift their focus from transactional processing to higher-value analysis and proactive customer engagement.Sustainable Competitive AdvantageBy embracing intelligent automation in core financial operations, the organization set itself apart from competitors, building a more agile, tech-enabled finance team prepared for growth and innovation.
