1. Visibility

Move from blind spots to hyper-awareness

Gain the insights that dictate meaningful change

The first step towards improving your built environment is understanding its current state – where each weakness and opportunity lies. Data already plays a huge part in this process, providing insight into how buildings are used and the best way to manage and optimise them. But processing data and deriving insights manually can be time-consuming and costly…

AI can automate this process and take that understanding to the next level, painting an in-depth picture of the built environment and FM productivity based on real-time data and peer- and industry-specific benchmarks.

This enables you to consistently make the best decisions for your estate at the best times, from implementing demand-led cleaning and proactive maintenance to reducing waste by powering off equipment when buildings aren’t in use.

AI-based predictive maintenance can increase uptime by up to 20% and reduce annual maintenance fees by up to 10% (McKinsey)

The most important ingredient is good data

Because we self-deliver across all our services, we have one of the most granular structured and unstructured datasets in the market, including engineering callouts, security incidents, time-to-clean, energy consumption and more. And, because it’s our own data, we know it's data we can trust – which is crucial for the successful implementation of AI. Ultimately, this enables us to summarise that data, recommend best actions, predict events, and automate processes – while still allowing human control.

Through using AI to analyse this data, we can help detect anomalies, diagnose unknown issues and unveil more effective solutions to improve the way your buildings are managed.