/ Case Studies / AI-Driven Solution for Enhanced Document Accuracy Case Studies AI-Driven Solution for Enhanced Document AccuracyA major process manufacturing company partnered with Concurrency and Microsoft to automate and streamline its sales order documentation process. By deploying an AI-powered solution to review critical sales documents, the company dramatically improved accuracy, reduced manual workload, and eliminated recurring errors. This initiative led to significant time savings and operational efficiency across key manufacturing workflows.Critical IssueThis process manufacturer has several locations, and one of the company’s manufacturing sites reported a 75% error rate in sales order documentation. The manual process of creating and reviewing documents was not only time-intensive but also prone to human error, often requiring weekly meetings to find and fix mistakes. This inefficiency delayed production, impacted customer satisfaction, and burdened internal teams with avoidable administrative tasks. The company needed a reliable, scalable, and intelligent solution to improve document accuracy and streamline the order review process.our solutionConcurrency collaborated with Microsoft to implement an AI-driven document review system that automates the analysis of three essential order-related documents: quotes, purchase orders, and sales orders. At the core of the solution is a Sales Order AI model that leverages anomaly detection and document intelligence to compare data across documents and flag inconsistencies.The system was built using Azure Functions for back-end processing and integrated with Microsoft’s Document Intelligence service to extract structured data from inbound documents. A Logic App with an O365 connector monitors shared inboxes and initiates workflows automatically. AI Foundry was used to detect anomalies, while Power Automate handles communications, sending out detailed analysis reports with recommended corrections. This intelligent automation drastically reduces the need for manual reviews and mitigates the risk of errors.The resultsImproved decision-makingThe AI solution proactively identifies and flags document discrepancies, allowing teams to make faster, more accurate decisions during the order entry process. This shift enables employees to focus on value-added tasks rather than error detection, improving responsiveness and execution.Improved reliability & scalabilityWith automation in place, the process became significantly more consistent and scalable. Manual reviews and recurring meetings have been reduced or eliminated, and the system can now process a higher volume of sales orders with greater precision.Operational efficiency gainsBy drastically reducing the 75% error rate reported at one site, the organization has improved customer experience and freed up internal resources. The AI solution has set a new standard for quality assurance in sales order processing across the company’s manufacturing operations.
