A global JLL report has found that harnessing technology to create the ideal office layout, density and amenity balance has the power to reduce operational costs in buildings by up to 40 per cent. 

JLL’s report, The Future of Real Estate Outsourcing 2024, identified opportunities that exist to enable intelligent buildings that help businesses adapt to everyday operational challenges. 

Since the rise in hybrid working, corporate real estate decision makers are constantly trying to predict fluctuations in space utilisation and AI-speed solutions are using sensors and data insights to manage light, heat, cleaning schedules and maintenance based on real-time occupancy.

By creating a ‘digital twin’ of a building, dynamic workplaces have the capacity to improve efficiencies and control environmental impact with AI powered modelling devices that test and trial different inputs.

The report sheds light on a case study of a global client who wanted to significantly reduce energy, water and waste consumption to align with their ESG goals. JLL implemented its technology platform across multiple sites to provide data-driven maintenance for HVAC systems, resulting in a 22 per cent reduction in energy consumption across the client’s property portfolio.

With AI developing at such a rapid rate coupled with the constantly shifting requirements of a hybrid workplace, Nick Moore from JLL’s Work Dynamics - Australasia, acknowledged the evolution outsourcing partnerships have experienced to keep up with the pace of change.

“Businesses continue to look for ways to create more dynamic workplaces and reduce operational costs,” Mr Moore said. “Gone are the days where outsourcing purely focused on task-based facilities management, with the report indicating that dynamic partners with in-house sustainability capabilities bolstered by AI modelling can deliver operational efficiencies and strong returns.” 

Tech-driven outsourcing models turn data into insights, helping businesses navigate the growing complexities of corporate real estate management by making informed decisions based on an understanding of how people are using buildings.