Infinite Possibilities, everyone has a pilot, but where is AI actually being deployed in CRE workflows today ?

Software engineering has to date led the Ai race in part because of the almost instantaneous feedback loop, whereby every change is capable of being checked by automated tests. This feedback loop, or the ability to verify out at scale, is key to understanding what to automate.

The rule of thumb is clear: automate where you can check answers; augment where you can't.

McKinsey report How agentic AI can reshape real estate’s operating model identifies four high-value domains:

• Maintenance and facilities: From dispatch to done automatically

• Leasing and renewals: Service, speed, and compliance

• Investing and asset management: Faster cycles and clearer judgment

• Construction and capital expenditures: Controlling complexity

Whilst the above four domains are clearly framed for real estate organisations, Corporate Real Estate professionals (those who manage their own employer's footprint) have every reason to follow the same route.

The final paragraph provides a perceptive insight -

The next phase is unlikely to be won by a series of disconnected pilots. It will be won by a small number of domain transformations designed for execution and trust. Organizations that move early can use agents to reduce handoffs, improve service, and accelerate decision cycles while building the governance and operating model that makes those gains durable. Done with discipline and risk controls, agentic AI can unlock new levels of efficiency, enhance customer service and experience, and fuel continuous improvement, delivering a true competitive advantage.

In others words, Corporate Real Estate professionals are advised to concentrate pilots around the redesign of a whole domain e.g. from space analysis to signed lease.