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In a context defined by the drive for industrial performance, a shortage of qualified technicians and the need to improve asset availability, artificial intelligence is opening up new opportunities for maintenance teams.
At DimoMaint, this transformation is now a tangible reality with the arrival of two new AI features in DimoMaint MX : intelligent diagnostic assistance and intelligent voice reporting.
After several beta-test phases carried out with pilot customers, these innovations are now entering the commercial phase with a clear goal: to put AI at the service of technicians’ and maintenance managers’ operational efficiency.
AI should become a practical assistant for maintenance teams.”
For Sébastien Latour, Product Director at DimoMaint, integrating artificial intelligence into the CMMS primarily addresses very concrete operational challenges.
We are convinced that artificial intelligence will profoundly transform how the CMMS is used in the coming years. Our ambition is to offer AI that is useful, practical and directly integrated into maintenance teams’ business processes.”
An AI strategy built with field customers
At DimoMaint, artificial intelligence is more than a technological innovation. It is part of a product strategy designed around the real needs of maintenance teams.
DimoMaint MX’s new AI features were developed with a pragmatic approach:
– identifying high-value use cases,
– testing phases under real conditions,
– validation with pilot customers,
– and then progressive integration into the solution.
We chose to work hand in hand with our customers to develop features that are genuinely useful in the field. The aim is not to replace human expertise, but to augment it.”
An intelligent diagnostic assistant to speed up interventions
Among the first features now available in DimoMaint MX: the diagnostic assistance assistant.
When a technician describes a symptom or a failure in the CMMS, artificial intelligence automatically analyses the intervention history to identify similar situations already encountered.
The system can then:
– suggest probable causes,
– recommend corrective actions,
– retrieve repairs that have been successfully carried out,
– and speed up decision-making.
This feature notably allows for:
– reduced diagnostic times,
– safer interventions,
– and better capitalization on maintenance experience stored in the CMMS.
Historical maintenance data represent a considerable asset for companies. Thanks to AI, we can now leverage this knowledge to support teams daily.”
The intelligent voice reporting: simplifying field entry
DimoMaint MX also includes an intelligent voice assistant enabling technicians to dictate their reports directly from the field.
Artificial intelligence automatically converts voice exchanges into a structured report in the CMMS:
– description of the intervention,
– observed symptoms,
– operations carried out,
– parts replaced,
– time spent.
For maintenance teams, the benefits are immediate:
– less time spent on data entry,
– more complete reports,
– better traceability,
– and easier transfer of field know-how.
We want to reduce technicians’ administrative burden while improving the quality of maintenance data.”
AI at the heart of tomorrow’s maintenance
Beyond these initial uses, DimoMaint is also working on integrating artificial intelligence into predictive maintenance approaches.
The goal: to exploit data from IoT sensors, real-time monitoring and the CMMS to anticipate anomalies before they affect production.
This vision is part of a broader ambition: to build an intelligent CMMS capable not only of managing maintenance operations, but also actively helping organisations improve their operational performance.
Responsible and secure innovation
In a context where cybersecurity and data governance issues are becoming strategic, DimoMaint also asserts a responsible approach to artificial intelligence.
The AI developments around DimoMaint MX incorporate data protection, human oversight, regulatory compliance and the security requirements already supported by the solution’s ISO 27001 certification.
AI in maintenance must remain a trusted technology. Our priority is to offer secure, useful uses that are fully integrated into companies’ processes.”
A new step in the evolution of the CMMS
With these new AI features, DimoMaint continues its innovation strategy around a smarter, more predictive and more assisted CMMS.
The goal is clear: to help industrial companies become more responsive, improve asset availability, preserve technical know-how and sustainably optimise their maintenance operations.
For Sébastien Latour, this evolution is only just beginning:
Artificial intelligence will become a true co-pilot for maintenance teams. Our ambition is to build the CMMS of tomorrow today.”
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