This project was delivered for a regional energy company operating complex and critical infrastructure where reliability and uptime are essential.
After a merger of several business units, our client faced critical challenges:
Our client’s ambition was clear. They wanted to operate as a unified business with streamlined systems, rules and procedures across all sites. The ambition became urgent with a new flagship heating plant under construction – a facility designed to set future standards for the entire organisation.
The stakes were high. Without clean data or proper governance, the flagship plant risked launching on a inaccurate information foundation, undermining both the plant’s potential and the broader standardisation effort.
Our task was to implement the CMMS and ensure that the system, data, and reality were perfectly aligned.
1. A CMMS implementation with a user-focused approach
As construction of the new plant progressed, vendor documentation began arriving through Process Design Packages (PDPs). The risks were clear: Inconsistent naming, incomplete O&M (Operation and Maintenance) data, and poor master data quality.
We implemented the CMMS with a clear focus on usability and adaptation, making it support daily work, not create an administrative burden.
2: Data and documentation governance
Once poor data enters a CMMS, fixing it later is both expensive and time-consuming. Our client needed someone to take control of the data flow immediately, with deep understanding of how maintenance systems work in practice.
We ensured all vendors followed established governance standards for naming, maintenance, and documentation, safeguarding data quality that enters the CMMS from the start.
3: O&M data quality control
We reviewed, corrected, and completed O&M sheets including asset hierarchies, master data, documentation links, maintenance plans, and spare parts lists.
This required close vendor coordination and on-site line walks to verify documentation matched physical reality.
4: From quality check to full data ownership
We were originally responsible for spot checks but quickly became a trusted partner for the entire data stream. When vendors struggled, the client referred directly to us.
5. Training and onboarding
We trained employees in CMMS usage and basic maintenance principles, ensuring a shared understanding of how to use the system, why data quality matters, and how maintenance should be planned and executed. Without this, users would undermine data quality and fall back on old, fragmented ways of working.
The project delivered a fully functional CMMS with high-quality, structured data from day one.
Key outcomes:
The plant established a proven foundation and a scalable model for consistent rollout across all sites.
