How We Helped a Global Client Turn Corporate Real Estate Needs into AI-Driven Action
The Challenge
A global enterprise software company wanted to apply AI across its real estate operations but lacked a clear strategy to guide adoption. Teams were trying different tools without a process to assess readiness, prioritize investments, or link AI initiatives to business goals.
Our Approach
Our advisory team used Colliersβ AI Playbook, a resource created to help clients identify, prioritize, and implement AI solutions relevant to corporate real estate. We guided the client through a four-step process: Discovery, Needs Analysis, Strategic Recommendations, and Roadmap Development.
- Conducted a structured AI readiness assessment covering data, governance, tools, and internal capacity
- Held stakeholder interviews to clarify priorities and uncover opportunities
- Performed gap analysis comparing current capabilities with future goals
- Developed a customized roadmap with quick wins, long-term investments, and clear business cases
We introduced key AI-enabled solutions already in use across our global Occupier Services platform:
- Portfolio AI: Predictive analytics to speed up strategy development and identify portfolio savings
- HeyMarvin: AI-powered meeting summaries and qualitative research that cut analysis time by over 50%
- Spaceworks: AI-driven space planning that models occupancy in 2D, 3D, and virtual tours
The Outcome
- A comprehensive AI Aptitude Scorecard to support executive decisions
- A phased roadmap aligning teams around shared priorities
- Immediate time savings and richer insights through automated research and problem-solving tools
- A foundation for future investments with clear budget, timeline, and resource plans
Why It Matters
Many corporate real estate teams discuss AI, but this client built a practical plan to put it into use. By connecting strategy directly to service line impact and focusing on operational needs, we helped the client move forward with focus, confidence, and organizational buy-in.
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