Cloudfm is accelerating its ESG plans with the promotion of Carly Hall to the new role of sustainability lead.
She retains her responsibilities in health and safety but will also be responsible for working with clients to establish their ESG goals, develop a strategy and support a focus on the area. She previously held roles safety roles at Linklaters and Burberry.
Commenting on the appointment, head of ESG Katrina Christopoulos said:
“Carly brings a wealth of experience to this new role, where she will support Cloudfm in our goal to decarbonise the business and improve externally verified ESG scores. The role will also encompass helping clients and suppliers achieve their own ESG goals.”
The company aims to lead the FM industry with a full-scope net zero emissions target for 2035. The company has already met its scope 1 and 2 science-based emissions targets and is now setting its sights on scope 3.
The company is also engaging its supply chain with a new programme to help them manage the transition to net zero.
Ms Hall said: “Effective facilities management is no longer solely focused on operational efficiency and cost savings, but also on environmental sustainability, social responsibility, and good governance. In today’s business landscape, the consideration of ESG factors is crucial for facilities managers to drive long-term value and mitigate risks. By prioritising ESG practices in facilities management, organisations can positively impact the planet, society, and stakeholders while improving operational efficiency and reducing costs. As such, ESG is no longer a choice, but a necessity for facilities management to drive sustainable and responsible growth.”
To support carbon reduction at the building level the company has developed patent-pending technology that uses IoT, machine learning and artificial intelligence to monitor buildings and all mechanical assets within those buildings. The Mindsett PRISM smart box takes energy monitoring and insight to a new level, including multi-dimensional harmonics to report energy consumption and predict failure long before it happens.
