A CMMS builds up a wealth of data on equipment and maintenance activities over time. But as maintenance histories grow, finding specific information or quickly identifying recurring causes of failure can become complex. Coswin 8i AI features let you query your maintenance data directly and bring out the information you need to support decision-making.
How can you get more value from the data in your CMMS?
Over time, a CMMS accumulates large amounts of data: work orders, alarms, operator comments, technical histories and maintenance reports. This information provides a valuable source of insight into equipment performance and past events.
However, the sheer volume of data can make it difficult to use effectively. Information is often scattered across maintenance histories and reports. It may also come from different people, who do not always describe the same event in the same way.
For maintenance managers, quickly identifying which equipment has experienced the most downtime or pinpointing recurring causes of failure can therefore take time.
Ask questions directly about your maintenance data
Coswin AI features allow users to query selected maintenance data using straightforward questions.
For example, a user could ask:
“Which assets have caused the most downtime over the past six months?”
or:
“Can you summarize the main causes of failure for centrifugal pumps?”
The AI analyses the selected data, summarises the key information and provides an immediately understandable answer.
This approach means users no longer need to systematically export data to Excel, build complex pivot tables or work through hundreds of lines of maintenance history to find what they need. They can access the information that supports their decisions more directly.
AI that works with controlled data
At Siveco Group, our approach to artificial intelligence in Coswin is based on a clear principle: AI should help users understand their data without taking control away from them.
Coswin AI tools therefore work with controlled datasets and queries defined by the administrator. They respect access rights and provide traceable, reproducible results.
The administrator remains in control of the information that AI features can analyse and return.
Artificial intelligence does not replace the company’s own data. Instead, it helps users understand and contextualise that data, revealing more of its value.
Turn your maintenance history into useful information
Years of maintenance history can contain valuable information for maintenance teams. The challenge lies in finding and understanding it quickly.
With Coswin AI features, users can identify critical equipment more quickly, highlight action priorities and make use of their maintenance history without having to analyse every piece of data manually.
The goal is simple: make maintenance data easier to understand and directly usable for informed decision-making.