How to link legacy systems to modern intelligent automation?

Many technical companies struggle with legacy systems that don't 'talk' to modern AI. Discover how to link these archaic infrastructures securely and robustly.

Jack van der Vall

Jack van der Vall

4 min read

Lees in het Nederlands
A close-up of an ethernet cable establishing a connection, symbolizing system integration.

Summary: Many technical companies struggle with legacy systems that don’t ‘talk’ to modern AI. Research shows that 45% of companies suffer productivity loss due to outdated infrastructures. In this article, we discuss how to link these systems securely and robustly to modern software architecture.

Last updated: March 16, 2026 · By Jack van der Vall, AI Engineer

Related reading: see which business processes can be automated responsibly, how installation companies create quotes faster, and our integration and automation services.


The hidden costs of stagnation in technology

In the world of mechanical and electrical engineering and construction, everything revolves around reliability. This also applies to the software you use. Many companies have relied on the same ERP system or the same on-premise database for decades.

These systems work, but they also form a barrier. They weren’t designed for today’s world, where data must flow rapidly between different departments and suppliers. As a result, employees manually retype data from one system to another.

This is not a minor inconvenience. According to research published by Alinea IT & Technology, 45% of IT decision-makers report that productivity suffers when using legacy systems. Furthermore, 38% of companies report higher costs for the management and maintenance of these outdated infrastructures.


Why traditional solutions often fall short

When addressing outdated systems, companies often choose between two extremes: replacing everything or applying band-aids. Completely replacing a core system is a high-risk operation with enormous costs.

On the other hand, ‘band-aids’, such as simple no-code integrations, are often too fragile for complex technical processes. They break as soon as an unexpected value appears in a database field.

In the construction and installation sector, we see that the adoption of modern intelligent systems is lagging as a result. The CBS AI Monitor 2024 shows that the sector is barely growing in AI use, while large companies with modern infrastructures are already at approximately 60% adoption. The problem isn’t the will, but the underlying architecture.


Building a robust bridge between old and new

The solution lies in creating an intelligent intermediary layer. Instead of replacing the old system, we build a robust architecture that acts as an interpreter between your legacy database and modern intelligent systems.

graph LR
    A[Old ERP System] --- B(Secure Intermediary Layer)
    B --- C{Intelligent Logic}
    C --- D[Modern Dashboards]
    C --- E[Automated Quotes]
    C --- F[Supply Chain Integration]

Accessible summary: A secure intermediary layer translates the data from your old ERP system into a format that modern intelligent systems understand. This allows you to benefit from automation without having to replace your stable core system.

This intermediary layer must meet three strict requirements:

  1. Type-safe validation: Every piece of data coming out of the old system must be checked for completeness and logic.
  2. Version control: Every adjustment to the link must be recorded in a history, so you can always return to a working version.
  3. Scalability: The infrastructure must be able to grow with your ambitions, without complexity becoming unmanageable.

The benefits of an integrated infrastructure

When you bridge the threshold of legacy systems, room for real innovation emerges. It’s no longer about ‘having AI’, but about optimizing your business operations.

Think of automatically generating quotes based on historical project data from your old ERP. Or real-time monitoring of project margins because data from the field is directly linked to the financial administration.

The result is a system that not only reduces administrative pressure but also protects your margins by minimizing human error. In a sector where margins are under pressure and personnel is scarce, this form of software engineering is no longer a luxury, but a necessity.


Frequently Asked Questions

That depends on the accessibility of the data. For many on-premise systems, we can realize a working pilot setup within a few weeks. The goal is always to show value quickly without disrupting daily operations.

Do we need to move our data to the cloud?

Not necessarily. We can build a hybrid infrastructure where your data remains securely on your own servers, while the intelligent processing takes place via secure connections. Privacy and security are always the top priority.


Key Takeaways

  • 45% of companies experience direct productivity loss due to outdated IT systems.
  • Maintaining legacy systems without a modern link leads to 38% higher management costs.
  • An intelligent intermediary layer is the safest way to unlock modern automation for technical SMEs.
  • Robust architecture, built with engineering principles such as version control, is essential for business continuity.

About the Author

Jack van der Vall is an AI Engineer at Opusmatic, specializing in AI automation for technical installation companies and SMEs in South Holland. He advises SME companies on the practical use of AI without the need for their own IT department.

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