AI is no longer an add-on: meet the AI-native CMMS

With Attendo V11, AI becomes part of the maintenance workflow itself, helping interpret data, automate processes and support better operational decisions.

The next evolution of industrial maintenance is not simply about adding a chatbot to a CMMS. The real change happens when artificial intelligence becomes part of the operational workflow and can work with maintenance data and context.
That is the approach behind Attendo V11. The platform connects assets, work orders, technicians, incidents, historical information and processes so AI can operate on related information rather than as an isolated tool.
Attendo includes Mar[IA] among its AI capabilities and, within its CMMS offering, focuses it on three areas: propose, predict and analyse. It can help suggest changes to preventive maintenance or work orders, anticipate situations linked to automated rules, and analyse information from work orders and technicians. Attendo
The platform also combines IoT monitoring, alerts, no-code automation and work-order traceability, creating an environment where operational information can be transformed into action. Attendo
The objective is a more proactive CMMS: fewer administrative tasks, more automation and greater ability to understand asset behaviour and make decisions with context.