Transforming Energy Management through predictive analytics and asset‑level insight
JANUARY 2026
JANUARY 2026 CASE STUDY
CONDITION BASED MAINTENANCE
Transforming Energy Management through predictive analytics and asset‑level insight
PREVENTATIVE MAINTENANCE
Transforming Energy Management through predictive analytics and asset‑level insight
JANUARY 2026
A leading global technology business partnered with Cloud’s Mindsett PRISM® platform to address rising energy consumption, inconsistent asset performance, and a need for more proactive maintenance.
By combining predictive maintenance, harmonic analysis, and asset‑level energy monitoring, the organisation achieved 13.5% reduction in daily energy consumption, prevented asset downtime, improved power quality, and unlocked annual cost savings of $41,554 (49,868 kWh).
This case study outlines how predictive analytics and high‑resolution monitoring transformed operations across lighting, fan coil units (FCUs), and wider electrical infrastructure—demonstrating the measurable value of data‑driven Smart FM.
Across global facilities, many organisations face an urgent need to reduce energy waste, improve asset health, and shift from reactive to proactive maintenance. Traditional building management tools often lack the visibility to identify hidden inefficiencies or early indicators of asset degradation.
Mindsett PRISM® was implemented within the client’s commercial building to deliver:
• Granular visibility into energy consumption
• Early detection of equipment anomalies
• Predictive maintenance pathways
• Real‑time insights to support operational decisions
This case study presents the findings of the deployment, complemented by pre‑ and post‑installation comparative analysis across both LED upgrades and Fan Coil Unit (FCU) performance.
In late 2024, through a Global FM partner, Cloud and the end user client embarked on an energy optimisation initiative. The project began with the installation of Cloud’s Mindsett PRISM® units across key electrical assets, including power outlets, server racks, AC units, and UPS systems.
The platform generated weekly scores to assess asset health and spotlight potential degradation. These insights enabled engineers to act before issues escalated into failures, while simultaneously quantifying the energy efficiency gains delivered by LED lighting installation.
The implementation of Mindsett PRISM® delivered immediate, measurable benefits:
Overall Consumption Reduction
13.5%
Reduction in daily energy consumption
Lighting System Improvements
24.5%
$41,554 (49,868 kWh) 14.3%
Annualised savings
reduction in lighting energy use during operational hours
energy reduction out of hours
Before LEDs were installed, PRISM® had already been collecting baseline lighting data. This enabled a direct before‑and‑after comparison showing:
savings across main office workspace areas
savings in the external pantry area after correcting sensor installation issues
Post‑installation analysis revealed that lighting sensors in the pantry area had not been installed correctly. As a result, lights stayed on continuously for four months—an insight only made possible through PRISM®’s granular monitoring. Once corrected, PRISM® validated that the lighting profile returned to expected levels.
Beyond energy optimisation, the other benefits of Mindsett PRISM are ‘condition based maintenance’ and ‘preventative maintenance’ via real time harmonic analysis.
In this instance, we were able to identify irregularities in Fan Coil Unit (FCU) performance; enabling engineers to act before complete failure of the unit.
The resulting benefits to the client were:
• 10% saving on maintenance costs
• Prevention of FCU downtime
• Improved power factor (PF) and reduced current draw post‑maintenance
• Asset health stabilisation confirmed via post‑event analysis
One Fan Coil Unit (FCU 1) displayed progressive harmonic distortion beyond acceptable ranges. A capacitor replacement on 15 March 2025 resolved the issue, with immediate improvements in Power Factor and current draw.
November 9 2024 PPM Event
Maintenance performed from 10:07hrs to 10:52hrs
Temporary Improvement following PPM
Positive effect on energy and harmonics observed
Continued Degradation
Fan coil unit 1 harmonics moved into ‘High’ notifications despite PPM
Comparative Analysis
Fan coil unit 2 remained consistent and operating correctly
PRISM® provided deep visibility into the effects of the 9 November 2024 scheduled PPM event.
FCU performance improved temporarily following maintenance; however, harmonics gradually deteriorated again, indicating that the root issue had not been resolved. FCU 2 remained fully stable, enabling comparative benchmarking.
This analysis proved that traditional PPM alone is insufficient without data‑driven insight and highlighted the value of continuous monitoring.
PRISM’s architecture ensures comprehensive anomalous performance detection, asset protection, and operational continuity.
Data Collection
Immediate notifications enabling prompt rapid intervention. 02 01 03 04
High‑speed sampling up to the 625th harmonic order, establishing a true baseline.
Detailed Data Analysis
Comparison of real‑time performance against trained asset models.
Rule Engine Processing
Detection of significant behavioural mismatches.
Real‑Time Alerts
PRISM enables the Mindsett platform to gather data from each individual asset and assign an ‘asset health’ score. This score is calculated weekly by looking at asset consumption, power factor and harmonic distortion.
After PRISM has been installed for 30 days, our Cloud data team can begin to build an asset Index for your estate and provide insights into how those assets’ performance compares across the estate.
In the case of this project, the Index scores could be seen to decline over a period of four weeks, indicating that an engineer was required to attend and assess the fan coil unit and undertake repairs.
02 01 03 04
Score 100 optimal
Decline to 95 early warning
Decline to 89 investigation initiated
Decline to 65 critical action required
Across the whole 18 month project, the stand out successes so far – not only for energy optimisation, but also, margin improvements and reduction in maintenance tasks have been:
6–18 months
15‑25%
3‑10%
margin improvements reduction in maintenance
5‑35%
savings in electricity consumption
This case study demonstrates the transformative impact of predictive analytics, real‑time asset monitoring, and automated diagnosis tools.
Mindsett PRISM® created operational clarity, reduced energy consumption, prevented equipment failures, and unlocked significant cost savings. As organisations seek smarter, more sustainable buildings, platforms like Mindsett offer a decisive competitive advantage—linking engineering performance, financial efficiency, and strategic asset management in one integrated ecosystem.
The future of this client’s estate can be further enhanced in the following ways:
• We will re-tune the model to refine anomaly detection. Providing enhanced fault prediction.
• We will track the second Fan Coil Unit (FCU 2) for early signs of capacitor degradation, sending an engineer if degradation is alerted.
• We will use the insights to influence broader maintenance strategies and capital planning.
• We will develop a comprehensive ‘digital fault library’ providing long term knowledge to the end user client across their entire estate.
become a Cloud/Mindsett partner and benefit from a broader impact
Working with Cloud as a Channel partner allows our partner to provide the following Mindsett PRISM® benefits to their end user client/s, and to increase the breadth of impact of their own relationships with clients.
• Value‑led technology integration
• Scalable asset monitoring
• Enhanced triage capability
• Stand‑alone options for low‑tech or distributed sites
• Business growth and brand enhancement opportunities
• Creation of a digital fault library for long‑term institutional knowledge
To find out how to partner with Cloud and achieve these benefits for your clients, contact us: xxxx@cloudfmgroup.com
Developed over 5 years working with a wide range of clients in a variety of sectors, Cloud launched Mindsett PRISM® in 2025, placing them at the forefront of the PropTech world in bringing the following revolution to market.
• Asset‑level, condition‑based monitoring – without the need for multiple sensors
• Predictive maintenance and energy‑demand profiling
• Automated alerts, reporting, and real‑time dashboards – with guidance on how clients can act upon the insights themselves
• One single PRISM® device at the distribution board provides wide‑ranging oversight – no sensors mean there are reduced points of failure.
Condition-based maintenance – the building of a comprehensive Index of all assets across the estate, based on weekly comparative scores for each individual asset – known as Mindsett INDEX
Preventative maintenance – the ability to detect early asset performance degradation, leading to asset protection and operational continuity – known as Mindsett RAINBOW
