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Generative AI in Engineering: Transforming Services and Innovation

Generative AI is transforming engineering. Learn how firms can use AI apps to improve service, streamline operations, and deliver more value.

Author: Lauren Spaans

Published date: June 25, 2026

Generative AI in Engineering: Transforming Services and Innovation

This innovative process engineering company specialises in the end-to-end delivery of processing systems. Its services range from the design of bespoke machines to its installation onsite to various maintenance services. The company is always on the lookout to improve its services. How can it improve its troubleshooting and maintenance activities and offer added value for clients?

Why Engineering Firms Are Turning to Generative AI

The company offers complex, and often bespoke, machinery that comes with comprehensive manuals. However, once operational, it can be very time-consuming to solve problems on-site. Going through all the manuals takes a lot of time for maintenance and operating teams. Meanwhile, operations are at a standstill. In these industries, each minute of downtime counts. How can the company support their clients in this? This is where Emixa’s Data & Analytics team comes in.

From Data to Design: Making AI Work in Practice 

Our consultants quickly grasp the situation and come up with an AI-powered search application that uses large language model integrations to find the right documents via natural language queries. Or, simply put, employees can find the right manual by chatting with the app. Our team designs and creates the app that extracts information from the 10.000+ manual and 100.000+ pages. Using Microsoft Azure and C# to create the language model and the easy-to-use app.

Unlocking Efficiency and New Value with Generative AI

With the AI-powered chat assistant, maintenance engineers and operators can find the right manual within seconds. Saving them time to find the right solution and, ultimately, reducing sites’ downtimes. Moreover, it allows onsite personnel to focus on the more knowledge-intensive aspects of their work, which boosts morale and innovation.

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