The AI Team Program
AI Training for Real Estate Teams
Most AI training teaches people about AI. This program has your team build the AI systems your firm will actually run, on your real deals, and own them when the engagement ends.
What the program is
The AI Team Program is a six-month engagement built around weekly group working sessions with your team. It is done-with-you advisory, not a dev-shop handoff: each week your analysts, associates, and operations staff sit down with a senior AI operator and ship a working piece of your firm's AI stack.
Weekly group working sessions
On your real workflows
- Live, hands-on, on your firm's real workflows and documents.
- Not slide decks or generic exercises.
Real systems shipped as you learn
Built during the sessions
- Prompting discipline, agent workflows, underwriting and reporting automations.
- Built during the sessions and put to work between them.
Capability transfer as the deliverable
Owned when the engagement ends
- The point is not the code. It is a team that can run, fix, and extend the systems after we leave.
- Instead of receiving software it cannot maintain.
What it is not
- Not a video course. There is no content library to fall behind on. Every session works on your firm's live workflows.
- Not outsourced development. We build with your team, not instead of it. If you want a system built for you end to end, that is a different engagement, and we will tell you so on the first call.
- Not generic corporate AI training. The curriculum is CRE-specific: deal intake, underwriting triage, IC memo drafting, investor reporting. Nothing about writing marketing poems with a chatbot.
Why AI adoption fails at CRE firms, and what fixes it
The usual failure mode is buying tools without building capability. A firm licenses a platform, one champion learns it, everyone else keeps working the old way, and when the champion leaves the subscription quietly becomes shelfware. The tool was never the problem; the missing layer was a team that understands how to put AI to work on its own deals.
Adoption sticks when the people who own the workflow build the automation that runs it. An analyst who assembled the underwriting triage agent knows exactly what it can and cannot be trusted with, and can adjust it when the deal flow changes. That is the capability this program transfers, and it is why the build-vs-buy question usually resolves differently once a team can build. If you are weighing that question now, read our honest take on whether you should build your own AI underwriting.
Who it fits
CRE investment, development, and brokerage teams that want AI capability in-house: firms whose workflows are too specific for off-the-shelf software, or that already license tools (see our guide to the best AI underwriting tools for CRE) and want a team that can get real leverage out of them. Firms that would rather have senior direction embedded at the leadership level should look at the fractional Chief AI Officer engagement, which wraps the same delivery in an operator role.
Common questions
Does my team need technical backgrounds?
No. The program is built for deal professionals, not engineers. Modern AI tooling is operated in plain language; what your team needs is judgment about the workflows, which it already has. The sessions supply the rest.
How much time does it take each week?
One group working session per week, plus whatever time the team chooses to spend applying the week's build to live work. The sessions are scheduled around your deal calendar, and applying the systems is the point, so the time tends to pay for itself inside the week it is spent.
What does the team have at the end?
Working systems it built and understands: prompt libraries and agent workflows shaped to your documents and models, plus the operating habits to keep improving them. The firm owns everything produced during the program.
Is this a substitute for buying software?
Sometimes, and sometimes it is what makes bought software finally pay off. Where a vertical platform genuinely fits your seat we will say so, and the program then focuses on the workflows around it. Honest build-vs-buy calls are part of the advisory.
Talk to us about your team
The low-commitment way to start is a paid AI audit: we map your firm's workflows, show where AI actually pays back, and tell you honestly whether the program is the right fit before any larger commitment.
Prefer to start smaller? Get your free AI roadmap first.