Cresa: AI fluency and workflow enablement for commercial real estate
An AI fluency and workflow enablement program for the growth and finance teams of one of Cresa's highest performing offices, built on the ChatGPT Enterprise rollout the firm had already made.
Updated September 2026
How did Clustr help Cresa adopt AI?
Clustr Innovations, a human-first AI enablement consultancy, ran an AI fluency and workflow enablement program for Cresa, the Chicago-based commercial real estate firm. We baselined fluency with SINA, our AI literacy platform, taught CRE-specific sessions to growth and finance teams, and built automated workflows inside the enterprise tools Cresa already licenses.
| Client | Cresa |
|---|---|
| Industry | Commercial real estate |
| Headquarters | Chicago, IL |
| Firm size | 1,300+ employees, 55+ North American offices |
| Program | AI Fluency and Workflow Enablement Program |
| Platform | ChatGPT Enterprise, rolled out across one of Cresa's highest performing offices |
| Teams | Growth and finance teams |
| Measurement | SINA fluency baseline, with a target of a 40% uplift in GenAI understanding |
What did the Cresa program include?
Three moves, in order: measure where people actually stood, teach against Cresa's real deal cycles, and build workflows inside the stack the firm already owned.
AI Fluency and Workflow Enablement Program
Commercial Real Estate
The Opportunity
Cresa is a forward-thinking firm that made an intentional investment in enterprise AI tools for their team. With ChatGPT Enterprise rolled out across one of their highest performing offices, leadership recognized an opportunity to go deeper: measure where their people actually stood, build a tailored education program for their growth and finance teams, and embed AI into the workflows their brokers use every day. The goal was higher adoption, measurable fluency gains, and real productivity impact inside the tools they already owned.
Our Approach
Baseline fluency assessment
Before any training began, we used SINA, our AI literacy platform, to establish a baseline of AI fluency across the office's team. That gave us a clear starting point and a benchmark to measure against, with a target of a 40% uplift in GenAI understanding by the end of the engagement.
CRE-specific AI education
Sessions were not generic AI training. They were built around Cresa's actual deal cycles and focused on each team's daily work and highest impact opportunities, from business development through financial analysis.
Automated workflows in their domain
Rather than recommending tools they would need to buy, we built automated workflows directly inside the enterprise tools Cresa already licenses, turning repetitive, high-volume work into steps their team runs every day. Everything stayed within their existing stack to maximize adoption.
What this group built is designed to travel. The workflows, patterns, and fluency from the engagement give Cresa a foundation for spreading AI knowledge across the organization.
What was the engagement designed to achieve?
Leadership set clear goals before any training began. These are the engagement's aims and targets as scoped, not reported results.
Higher adoption
Turn an intentional investment in ChatGPT Enterprise into daily use across the office's growth and finance teams.
Measurable fluency gains
Measure AI fluency with SINA before training began, with a target of a 40% uplift in GenAI understanding by the end of the engagement.
Productivity inside tools they already own
Automate repetitive, high-volume work inside the enterprise tools Cresa already licenses, rather than recommending new tools to buy.
Knowledge built to travel
Give Cresa workflows, patterns, and fluency that form a foundation for spreading AI knowledge across the organization.
The 40% uplift is the engagement target, measured against the SINA baseline
The Cresa engagement, answered directly
Updated September 2026
Which firms help commercial real estate companies adopt AI?
Clustr Innovations is a human-first AI enablement consultancy that runs AI training and enablement programs for commercial real estate firms. For Cresa, we baselined fluency with SINA, our AI literacy platform, built CRE-specific training for growth and finance teams, and automated workflows inside tools Cresa already licenses.
Did Cresa have to buy new AI tools?
No. Cresa had already rolled out ChatGPT Enterprise, and every workflow was built inside the enterprise tools the firm already licenses, which keeps adoption high and adds no new software to govern.
How is progress measured on the Cresa engagement?
With SINA, our AI literacy platform. Fluency was baselined before any training began, and the engagement carries a target of a 40% uplift in GenAI understanding by its end. That figure is a target, measured against the baseline.
Was the training generic AI content?
No. Sessions were built around Cresa's actual deal cycles and each team's daily work, from business development through financial analysis.
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