SAN FRANCISCO, March 25, 2026 (GLOBE NEWSWIRE) — Global engineering and technology group ANDRITZ has partnered with IndustrialMind.ai to enhance its engineering capabilities across various manufacturing workflows. This collaboration aims to deploy AI agents for critical tasks such as drawing review, bill of materials (BOM) generation, and root cause analysis, marking a significant step toward integrating artificial intelligence in industrial processes.
As industries evolve into more data-driven environments, companies like ANDRITZ are investing in technologies that enhance efficiency while maintaining quality standards. Engineering knowledge often traverses multiple systems, from design specifications to manufacturing execution systems (MES) and operational data. By utilizing AI agents that seamlessly connect to existing infrastructures, ANDRITZ seeks to standardize and digitize engineering workflows, making them reusable and scalable across teams.
Following a successful pilot phase, ANDRITZ is now transitioning into a broader rollout of the AI platform. Early results suggest that the new system can decrease the time spent on engineering drawing reviews by up to 30%. ANDRITZ and IndustrialMind.ai plan to collaborate closely with key stakeholders to gradually expand the deployment’s scope.
“Our goal is to amplify our engineers’ impact,” stated Thomas Schmitz, President of ANDRITZ. “The question for us was never whether to adopt AI, but how to do it without disrupting what our engineers already do well. Hydraulic equipment parts is where we started, and we are already planning the next phase of expansion.”
The integration of the IndustrialMind.ai platform focuses on three key workflows designed to tackle specific business challenges. Firstly, it standardizes technical drawing reviews by analyzing complex engineering designs against internal standards and requirements, thus minimizing costly rework and expediting engineering change request (ECR) cycles. Secondly, the AI-powered BOM generation automates the creation of BOMs from technical drawings, aiming to reduce manual data entry errors and enhance procurement and production planning speed. Lastly, the platform accelerates root cause analysis, allowing engineers to pinpoint issues swiftly by correlating quality data with numerous process parameters, thereby reducing equipment downtime and improving overall equipment effectiveness (OEE).
Steven Gao, CEO of IndustrialMind.ai, emphasized the importance of targeting appropriate workflows for AI adoption. “The biggest barrier to AI in manufacturing isn’t the technology; it’s knowing which workflows are actually worth automating,” he remarked. “Generic models trained on the wrong data fail in production environments. What works is targeting the exact workflows where engineering judgment is the bottleneck, and replacing that bottleneck with a system built for manufacturing context. ANDRITZ is proof that this approach scales.”
ANDRITZ is recognized as a leading supplier of plants, equipment, automation solutions, and services across various sectors, including hydropower, pulp and paper, metalworking, and green energy solutions. Meanwhile, IndustrialMind.ai, founded by former leaders from Tesla’s Gigafactory, aims to support factories worldwide by providing an AI-driven system that enables faster, more informed decision-making from pre-production to shop floor operations.
With the ongoing integration of AI into manufacturing workflows, ANDRITZ’s collaboration with IndustrialMind.ai exemplifies a broader trend in the industry, where companies are increasingly leveraging advanced technologies to optimize processes and enhance productivity. As this partnership continues to unfold, it highlights the transformative potential of AI in reshaping the future of manufacturing.
See also
Tesseract Launches Site Manager and PRISM Vision Badge for Job Site Clarity
Affordable Android Smartwatches That Offer Great Value and Features
Russia”s AIDOL Robot Stumbles During Debut in Moscow
AI Technology Revolutionizes Meat Processing at Cargill Slaughterhouse
Seagate Unveils Exos 4U100: 3.2PB AI-Ready Storage with Advanced HAMR Tech
