AI in FM


AI In Facilities Management: Smarter Operations For A Hybrid World


Hybrid working has made building usage far less predictable but the pressure to improve efficiency, reduce costs, and meet sustainability targets hasn’t let up. Nearly one in four (28%)1


UK employees now work in a hybrid


pattern, while only 22% are in the office full-time, leaving significant pockets of commercial space underused.


This shift is reshaping the physical workplace with UK offices now providing just 56 desks per 100 employees2


rises from 33% to 49%. The result is a mismatch between


and concentrated


, down from 79 in 2022, even as desk usage reduced provisions


demand on in-office days bringing fresh challenges to facilities management teams already grappling with rising costs, staffing shortages and ageing infrastructure.


Facilities leaders are increasingly focused on systems that can respond and adapt in real-time to how a space is being used, instead of how it’s expected to be - bringing greater visibility, control and efficiency to day-to-day operations. The goal is simple: to align services, amenities and workspace with real- world demand.


By Fares Djenandji, Chief Growth Officer at Ipsotek, an Eviden business. Smarter, Leaner And More Efficient Operations


Research shows that Facilities Management (FM) teams increasingly recognise the value of digital transformation, with 53% of organisations3


rating it a “highly important”


strategic priority. Yet despite the enthusiasm adoption is often held back by perceived cost and complexity. A third (33%) of FM leaders cite budget constraints as the main barrier to investment, while others (19%) struggle to integrate new technologies with legacy systems.


This is where artificial intelligence (AI) is beginning to make a significant impact. As FM


teams look to improve operational efficiency, reduce downtime and get more value from existing resources, AI offers the ability to move from reactive processes to proactive, decision-making.


insight-led


Video analytics in particular, alongside third party sensors, are helping building managers tap into real-time usage patterns and occupancy data by integrating with existing camera infrastructure and unlocking actionable insights without the need for time-intensive, costly system upgrades.


Energy optimisation is one of the areas seeing some of the most immediate wins. AI-powered tools can automatically adjust lighting, heating and cooling based on occupancy data, reducing waste, and cutting energy costs whilst maintaining comfort.


The same applies to cleaning - rather than following set rotas, AI-powered tools can flag a clean is needed based on footfall. For example, once a camera detects a specific number of users have entered a bathroom or shared space. This ensures hygiene standards are maintained whilst improving staff allocation.


12 fmuk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44