In partnership with EDIE — the UK’s leading sustainability-focused media and events platform — measurable.energy hosted a masterclass exploring how AI and automation are transforming energy ROI in commercial buildings.
The session was delivered by Adam Wright, Product Director at measurable.energy, and focused on a growing challenge for sustainability and estates teams: how to deliver measurable energy and carbon reduction while proving clear financial return.
The webinar examined how real-time appliance intelligence can unlock immediate, measurable savings without requiring wholesale infrastructure replacement.
Key Insights from the Session
The Hidden Scale of Plug Load Waste
40% of building energy consumption comes from plug loads, with a significant portion occurring outside operational hours. Traditional BMS systems lack the granularity to isolate this waste.
From Static Scheduling to Dynamic Automation
Modern occupancy patterns are no longer predictable. Hybrid working and fluctuating building use make static schedules ineffective. Appliance-level AI can identify real-world usage patterns and automatically deliver energy savings by responding to behaviour rather than relying on fixed rules.
Case Studies Demonstrating Measurable ROI
The session shared practical examples, including:
- 52% reduction in plug-load energy in a commercial office environment
- £12,000 annual savings identified through appliance-level anomaly detection
- £47,000 annual savings achieved through data-led space optimisation, with payback in just 11 days
These examples demonstrate how granular data enables both energy reduction and broader operational efficiency gains.
Improving Confidence in ROI Reporting
Appliance-level measurement improves the accuracy of savings attribution, helping sustainability teams align reported reductions with financial outcomes.
Enterprise-Grade Security and Low Disruption Deployment
The webinar also addressed security architecture, system integration and how intelligent control can be layered onto existing infrastructure without operational disruption — a key consideration for regulated and high-security sectors.
The session concluded with a live Q&A covering integration with existing BMS platforms, overrides, dashboard visibility and the carbon footprint of AI systems themselves.
Click here to watch the full recording to explore the insights.
