From the source
Cushman & Wakefield built its enterprise AI core over four years by embedding technologists directly into business units under a product operating model — prioritizing trust and human behavior over the "AI pilot craze."
A capital investment model that requires technology initiatives to be co-created with a business leader has kept the company's 53,000+ employees aligned around one enterprise set of outcomes, maturing the operating model three times in four years.
Using Databricks — including Genie for natural-language data governance and quality checks — Cushman & Wakefield has cut idea-to-outcome timelines from months to days.
For most large enterprises, AI transformation is a story of silos — business units running competing experiments, data sitting in disconnected systems, and outcomes staying out of reach.
Cushman & Wakefield has taken a different path.
Sal Companieh, Chief Digital and Information Officer for the global commercial real estate services firm, has spent the past four years building an enterprise AI core designed for trustworthy, durable, and scalable impact across 53,000 colleagues worldwide.
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