The Challenge
Before Unframe, extracting usable information from lease documents was a slow, resource-intensive process. Depending on the complexity of the document, abstracting a single lease could take anywhere from six hours to three days. Leases are not standardized across the industry, which made it historically difficult to achieve accuracy at scale. The longer and more complex the document, the harder it became to reliably pull the right information.
Cushman & Wakefield evaluated multiple vendors and internal approaches, but none delivered both the accuracy and the speed required to make lease abstraction practical at enterprise scale.
The Solution
When Cushman & Wakefield first engaged Unframe, the promise was direct: working solutions in days, not months. Ross and his team put that to the test. Two weeks later, Unframe returned with a working product built to the benchmarks Cushman & Wakefield had defined.
It was not a demo. It was a tangible, production-ready product the team could evaluate against real documents. Unframe outperformed every other vendor in the competitive tender. From initial concept to something in front of the business took five to six weeks.
The platform processes lease documents of any length, applies consistent abstraction logic, and delivers results across multiple languages, making it usable across Cushman & Wakefield's global client base without additional localization work.
What started as a single use case has since expanded into the foundation of Cushman & Wakefield's broader AI platform, with more than 15 active projects now running through the Unframe relationship.
The Impact of Unframe
The operational change is significant. Where lease abstraction once took between six hours and three days per document, Cushman & Wakefield can now deliver that information at the moment it is needed. Brokers working with clients can access lease insights in real time, without waiting on back-office turnaround.
Beyond speed, the platform delivers consistency. Results are produced with the same logic applied across every document, regardless of language or format, reducing the variability that had historically made high-accuracy abstraction so difficult to achieve.
The approach also changed how solutions are built internally. Unframe allows Cushman & Wakefield to configure workflows to the needs of individual users, not just the organization as a whole. That individual-level fit is what has driven adoption across the business, while still delivering on the underlying goal: unlocking the value of enterprise data.
From Lease Abstraction to Market Differentiation
For Ross, the impact extends beyond internal operations.
With AI-native capabilities now in production, Cushman & Wakefield can demonstrate to clients that it is genuinely an AI-forward organization. That reputation is opening new conversations. Clients are asking what else is possible, and the answer is expanding. The ability to prove innovation in a market where most firms are still exploring AI is creating a competitive advantage that compounds as the partnership grows.
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