Real estate ai readiness
Free real estate ai readiness grader: answer 7 questions, get your CRE grade, and request a personalized 90-day roadmap with indicative ROI for your firm.
Interactive inputs coming soon for this calculator.
Result
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Where AI changes the answer
AI readiness in commercial real estate is not a single dimension — it is the intersection of four things: what engine you prioritize (deal sourcing, underwriting, market reports, or LP reporting), how much current manual effort the automation would replace, how large your pipeline is, and how many departments would benefit from an audit before any build starts. This grader scores your firm across those four dimensions using a 7-question referral-style questionnaire. It does not compare you to an "industry average" — because the right AI investment for a 3-person family office hunting 5 counties looks nothing like the right investment for a 15-person institutional operator covering 200 markets. The grade is self-assessment: your current effort, your scope, your budget signal. **Where AI changes the readiness outcome:** **Deal Sourcing is the highest-leverage engine for most CRE operators.** An AI deal-sourcing system can screen 3–5× more properties per analyst hour than manual outreach — but only if your coverage map is well-defined (county list, asset class, off-market signal sources). This grader asks for your county/metro count and deal-flow volume specifically to size whether a county-band build or a scoped POC is the right entry point. All price indications are indicative — not a quote. **Underwriting acceleration compounds over time.** The first underwriting assist saves analyst time. The fifth creates an institutional audit trail. The grader asks about departments specifically because the audit ($1,500/department, indicative) is how we map your underwriting workflow before recommending a build — skipping the audit produces a system that solves the wrong problem. **Market Reports + LP Reporting are force-multipliers at scale.** These engines become disproportionately valuable above a certain portfolio size. The grader captures your scope (# markets, # LPs) to determine whether a POC or a full build is the right next step. **The email capture is optional.** Your grade, top 3 roadmap moves, and matched engine are visible immediately — no email required. The email step is the reward: Sasha reviews your inputs and sends a personalised price/ROI/90-day roadmap manually. We do not auto-email anyone. This is a human-reviewed send.
Questions real estate teams ask
How do I know if my CRE firm is ready for AI?
CRE AI readiness is not a binary. The most useful question is: do you have a clearly-scoped workflow that costs you meaningful analyst hours today — deal screening, underwriting, report writing, or LP communication? If yes, and if your data is reasonably structured (a deal list, a rent roll, a county map), you are likely ready for at least an AI audit or POC. If your data is fragmented across 12 spreadsheets and 3 systems with no single source of truth, the first step is data consolidation — not AI. This grader asks about your scope and current effort specifically to diagnose where on that spectrum you sit.
What should a real estate AI roadmap include?
A useful CRE AI roadmap covers four things: (1) a current-state audit of the workflow you want to automate — mapping data sources, manual steps, and error rates; (2) a POC to validate that the automation actually works on your data before you commit to a full build; (3) a full build and handoff once the POC proves the concept; and (4) an ongoing monitoring and optimisation layer to keep the system accurate as your data and market conditions change. The 90-day roadmap this grader produces includes all four phases with indicative timelines and pricing — reviewed by Sasha before it is sent to you.
Is the price a quote?
No — all prices shown by this grader are indicative, not a quote. The county-band build prices ($25K for ≤50 counties, ~$32K for 51–125, ~$42K for 126–200, $50K+ for 200+) and the audit pricing ($1,500 per department) reflect our real engagement history — Fetch Blueprint at $1,200, HappyNest POC at ~$3,500, BKM at $6K, Marquee at $25K, Valrock at $30K — but every engagement is different. Your actual price depends on scope, data quality, integration complexity, and delivery timeline. The grader uses your inputs to suggest the right archetype (audit, POC, build, retainer); Sasha reviews the draft roadmap and confirms pricing before sending it to you.
What is the difference between a POC and a full AI build?
A POC (Proof of Concept) is a working prototype of your priority AI engine built on a subset of your real data — typically in 4–6 weeks and priced $5–8K (indicative). It validates that the automation works for your specific workflow before you commit to a full build. A full build is a production-grade, integrated system that plugs into your existing stack (CRM, data sources, reporting tools) and is designed to run reliably at scale — typically 8–12 weeks and priced according to your scope and county coverage. The grader uses your budget signal to recommend which entry point matches where you are today.
How does the email capture work — is my roadmap emailed automatically?
No — your grade, top 3 roadmap moves, and matched engine solution are visible immediately, with no email required. The email capture step is optional: if you enter your email, it triggers a human-reviewed process where Sasha reviews your questionnaire inputs, builds a personalised price/ROI/90-day roadmap, and sends it to you manually. We do not auto-email anyone. Pipeline coverage figures in the roadmap are coverage screened (deals you can evaluate with AI), not projected revenue — they are illustrative and not a guarantee.
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