Audi Expands AI Deployment Across Manufacturing Operations

[Source: Audi]

Audi is pushing deeper into the AI era, expanding the use of artificial intelligence across its production and logistics operations. By scaling up its in-house cloud platform and rolling out new AI-driven applications for large-scale manufacturing, the brand is blending decades of hands-on engineering experience with cutting-edge digital intelligence. The result is a smarter, more efficient production process.

“Artificial intelligence is a quantum leap for efficiency in our production. With our AI and digitalization roadmap, we are transforming our plants into smart factories where AI acts as a partner, providing our employees with tailored support. The first AI-controlled robots are taking over tasks that are ergonomically strenuous, and chatbots are providing additional relief,” explains Gerd Walker, Member of the Board of Management for Production and Logistics at Audi.

EC4P Platform

Audi is rolling out its Edge Cloud 4 Production (EC4P) platform across its manufacturing network, setting a new benchmark for fully connected, cloud-based factory automation. By combining traditional automation systems with cloud computing power, EC4P enables greater flexibility, faster software updates, and reduced on-site hardware—resulting in more stable processes, lower maintenance costs, and improved IT security.

In Audi’s German assembly plants, production-line guidance is now delivered directly from the cloud, giving workers real-time access to vehicle specifications and regional configurations. This shift has already eliminated the need for more than 1,000 industrial PCs.

Body Shop Implementation

The technology is also being deployed in highly automated body shops, including large-scale production of the A5 and A6 in Neckarsulm. There, virtual programmable logic controllers replace local hardware, allowing roughly 100 robots to operate in sync with millisecond precision. The result is a highly efficient system capable of producing hundreds of vehicle bodies per day—marking a new industry benchmark for cloud-driven manufacturing.

Audi is increasingly using AI to support employees while raising production quality. One example is the Weld Splatter Detection (WSD) system, which will soon run on the Edge Cloud 4 Production (EC4P), making it more flexible and scalable. At Audi’s Neckarsulm plant, WSD identifies weld splatter on vehicle underbodies and highlights it with light. A recent upgrade now allows a robot arm to automatically grind it away, taking over a physically demanding task. The Volkswagen Group’s first AI-supported weld spatter detection system is set to enter series production at six Ingolstadt plants.

ProcessGuardAIn

Audi is also developing its own AI-based process monitoring solution, ProcessGuardAIn. Built on the cross-plant “P-Data Engine” platform, the system brings together decades of manufacturing expertise with standardized production and sensor data. This foundation allows Audi’s data teams to rapidly develop and scale AI applications across the Volkswagen Group.

ProcessGuardAIn already monitors production steps in real time, detects anomalies early, and alerts experts before issues escalate. Pilot projects are underway in the Neckarsulm paint shop, focusing on pretreatment dosage optimization and anomaly detection in cathodic dip coating, with series production planned for the second quarter of 2026. Early fault detection reduces manual rework and follow-up costs.

Looking ahead, ProcessGuardAIn will provide data-driven recommendations and guide employees through solutions via an app, ultimately becoming a central tool for predictive maintenance and quality assurance across Audi’s global production network.

Audi is pushing the boundaries of factory automation with its Next2OEM project in Ingolstadt, working with ten partners to fully digitize and automate wiring loom production and installation—a process that remains less than 10% automated across the industry.

The Payoff

A demonstrator funded by Germany’s Federal Ministry for Economic Affairs and Energy showcases the complete workflow: from loom production and pre-assembly in the center console with automation-ready connectors, to fully automated installation in the vehicle, all controlled by a central system.

The payoff is significant: streamlined logistics, drastically reduced lead times for changes—from weeks to minutes—and a blueprint for scaling this knowledge into future large-scale vehicle production.

IPAI

Audi is testing its first AI application from the IPAI cooperation at the Neckarsulm paint shop: AI-supported dryer operation. By connecting temperature and airflow controllers in the longitudinal dryer to the AI system, the process can respond instantly to changes in production line speed, making drying more energy- and resource-efficient. The pilot, developed with appliedAI and CVET GmbH, will run until summer 2026 to assess potential energy savings.

Audi’s push toward data-driven production combines in-house expertise with strong partners from industry and science. Teams in the Audi Production Lab (P-Lab) and the P-Data Factory drive innovations from concept to series production, while collaborations with companies like Broadcom, Cisco, Siemens, and participation in IPAI give access to cutting-edge AI developments.

Across its global production network, Audi is scaling AI solutions and sharing best practices. In Hungary, AI is improving transparency and efficiency across the value chain, while in Mexico, real-time AI-supported production reports help managers make precise, data-driven decisions.

Audi’s commitment to responsible AI guides all projects, with principles of respect, security, and transparency, ensuring technology is used safely and ethically across all operations.