CRE10x is a hands-on AI training program for asset, property, and acquisitions teams — taught by NYU faculty and CREx operators, delivered on-site or virtually in role-specific cohorts.

Institutional CRE teams: asset managers, property managers, acquisitions analysts, and IM operations leaders. Curricula are tailored per role.

Is the training online or in-person?

Both. Cohorts run on-site at your office or virtually — same NYU faculty, same hands-on labs, same case-study work.

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CREx / CRE10x / Training

Training Led by NYU faculty Operator-led labs

AI training for commercial real estate teams.

Q: How is CRE10x different from generic AI training?

Every lab is built around real CRE workflows: rent roll review, lease abstraction, comp synthesis, budget variance, deal screening. No "build a chatbot" toy projects.

One to two days of online foundations — basic setup of Claude or Microsoft Copilot — then role-based verticals for acquisitions, asset management, underwriting, and fund operations. Onsite, virtual, or hybrid, with real workflows, not demos.

Enroll your team → See the curriculum

/ 01 The problem

Every CRE firm wants AI. Most don't know where to start — or how to make it stick.

Generic AI workshops don't change how your team underwrites a deal or closes a month. What changes behavior is role-based training on your data, reinforced by a cohort and a mentor.

CRE10x is that program. Foundations first, then the verticals your team actually works in — certification, habit formation, and measurable ROI, in that order.

Foundations

Day 1–2: get set up.

One to two days, delivered online. Everyone leaves with working accounts, safe defaults, and their first real workflow running.

/01 · Setup

Claude & Microsoft Copilot

Accounts, workspace and security configuration, and Copilot in Teams (Cowork) — set up the right way for an institutional shop.

/02 · Fundamentals

Prompting & safe defaults

Prompting fundamentals, document handling, data privacy, hallucination checks, and what never to paste into a model.

/03 · First workflow

Connect your data

Each attendee wires up one real document or dataset and ships a first working output before the foundations end.

Verticals

Then the verticals.

After foundations, teams split into the verticals they work in. Every lab is built around a real CRE workflow on your data.

/01 · Vertical

Acquisitions

OM synthesis, financial-modeling assistants, underwriting QA, and deal screening at 10× velocity.

/02 · Vertical

Asset Management

Rent-roll review, lease abstraction, variance analysis, tenant-retention modeling, and reporting automation.

/03 · Vertical

Underwriting

T-12 spreading, rent-roll normalization, first-pass models against your template, and sensitivity analysis.

/04 · Vertical

Fund Operations

Investor memos, capital calls, distribution waterfalls, quarterly reporting, and close automation.

How it works

From baseline to fluency.

We don't start with theory. We start with your data, your team, and your stack.

/ 01WEEK 1

Baseline

Assess current AI maturity, data readiness, and role-by-role workflow inventory.

Output

Maturity scorecard

/ 02WEEK 2

Curriculum

Tailor the CRE10x curriculum to your tech stack, data, and roles — no generic training.

Output

Custom syllabus

/ 03WEEK 3–6

Delivery

Onsite or virtual sessions with hands-on labs against your actual portfolio data.

Output

Certified team

/ 04ONGOING

Reinforcement

Monthly office hours, peer cohorts, and a builder community — this is how habits stick.

Output

Quarterly reviews

Outcomes

What changes.

We baseline before the cohort starts, then measure against your own operating numbers.

Time returned5–50 hrsPer operator, every week

Return on investment10×Value created per dollar invested

To first workflow1–2 daysLive before foundations end

Role verticals4Acquisitions to fund ops

FAQ

Frequently asked questions.

A role-based AI program for commercial real estate teams: one to two days of online foundations (Claude or Microsoft Copilot setup), then verticals for acquisitions, asset management, underwriting, and fund operations. Hands-on workshops, certification, and ongoing support — designed by CRE operators, not ML PhDs. Need AI deployed for you instead? See implementation.

NYU Schack faculty teach the core curriculum, joined by CREx operators who have built and shipped these workflows inside institutional CRE shops. No ML PhDs giving theory — every instructor has run a portfolio or deployed an AI agent in production.

The foundations run online. Verticals run on-site at your office, virtually over Zoom, or hybrid — same faculty, same hands-on labs, same case-study work. Onsite is preferred for new-team rollouts; virtual works well for distributed teams or follow-on cohorts.

Institutional CRE teams: asset managers, acquisitions analysts, underwriting teams, and fund-operations leaders. Everyone takes foundations; then teams split into the vertical they work in — an analyst track looks different from a fund-ops track.

Real CRE workflows: rent roll review, lease abstraction, comp synthesis, budget variance, deal screening, investor memo prep, and underwriting automation. Every lab is built around a CRE use case — no "build a chatbot" toy projects.

Yes. Every cohort includes a 60-day office-hours window for follow-up questions, prompt iteration, and workflow tuning. Larger engagements roll into implementation, with a CREx operator embedded for the first quarter of rollout.

Fill out the form below or email contact@crexsoftware.com. We run a 30-minute scoping call to size the cohort, then return a fixed-fee proposal within 48 hours. New cohorts start every month.

Enroll

Enroll your team in CRE10x.

30-minute scoping call. Fixed-fee proposal within 48 hours. Cohorts start every month.

Prefer email? contact@crexsoftware.com