How Can I Prepare My Construction Company for Artificial Intelligence?

Artificial Intelligence (AI) is on everyone’s lips and is often described as a solution for numerous processes and problems. But how can companies in the construction industry handle it properly? Small and medium-sized businesses (SMBs) often think that artificial intelligence is something meant for large corporations that have the necessary capacities, time, and budgets to develop complex AI systems. After all, it is often said that AI requires large amounts of data—and who has that as an SMB?

But is it really enough to say that AI is “all well and good,” but does not solve our current challenges, and therefore simply continue as before? That would definitely be shortsighted. The world of AI has changed significantly, especially in the last two years. In the past, AI primarily meant that large datasets had to be collected to train systems that also required substantial hardware resources. However, since the introduction of so-called Large Language Models (LLMs)—known through ChatGPT, Copilot, and others—that has changed. These models can now be used for everyday tasks, whether it’s cooking recipes, letters, or birthday invitations.

 

Although most people have probably taken a look at these tools at some point, they are still rarely used in a professional context in the construction industry. In the worst-case scenario, they are even prohibited due to general data protection concerns from the company. More often, however—and this seems to affect the majority—many do not know how to effectively use these tools.

 

Here, we want to build on our AI experiences and our AI workshop. From our perspective, it’s not about launching the next IT monster project that will take three years and numerous delays to complete. The goal is rather to identify processes in construction companies that can be made significantly more efficient with the help of AI.

A Simple Start into the Topic of Artificial Intelligence

The goal is to find a simple way to get started with AI and to understand what AI can achieve—and what it (still) cannot. The best approach is to identify projects that offer high benefits for one’s own company but require only a limited development effort.

Examples in practice include:

 

  • Intelligent Maintenance: Predictive maintenance enables real-time monitoring of machines, reducing downtime and allowing maintenance work to be planned more effectively.
  • Speech Processing: AI-powered tools for speech recognition can simplify and document communication on construction sites.

 

Such applications allow the advantages of AI to be quickly realized without investing in complex and lengthy development processes.

Get AI-Ready with Our Workshop

In our AI workshop, we help your company take concrete steps toward integrating AI. We offer a structured guide to preparing for the use of AI, including necessary infrastructures, team skills, and technologies. Through practical tips and success stories, we show you how to effectively integrate AI into your operational processes.

 

Here you will find use cases for artificial intelligence in the construction industry that we have already developed. Get in touch with us and make your company AI-ready too!

Get in touch!

Dr. Dierck Segelke
Head of Data Science & Innovation
d.segelke@syniotec.com

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