Evaluating AI for Your Real Estate Team: A Vendor Selection & Due Diligence Checklist

Evaluating AI for real estate is not about who has the flashiest demo. It is about whether a system can move a lead from inquiry to booked appointment — with records your brokers trust and compliance your broker-owner can defend.

Most teams fail selection in week one: they compare feature grids instead of operating constraints. This checklist is built for that mistake — and it ends with a consultation frame, not a purchase order.

Phase 1: Define the job (before you talk to vendors)

Write one paragraph answering:

• Which bottleneck? (speed-to-lead, nurture, listing marketing, TC coordination)
• Which systems must stay? (CRM, dialer, MLS, transaction platform)
• One metric for success (e.g., % leads contacted in 5 minutes, showings per 100 leads)

If leadership cannot agree on the bottleneck, do not buy AI yet. Fix ownership first.

Phase 2: Due diligence scorecard

Score each vendor 1–5 (custom builders included). Weight integration and outcomes highest.

Integration (30%)

• Bi-directional CRM sync (creates/updates contacts, stages, notes)
• Calendar booking with real availability rules
• Source attribution preserved for marketing ROI

Outcomes (30%)

• Published benchmarks or named references at similar scale
• Pilot terms with exit clause and data export
• Clear definition of who tunes scripts (you vs. vendor)

Compliance (20%)

• Fair housing review process for automated questions
• TCPA/consent documentation for SMS and voice
• Data retention, subprocessors, and deletion on cancel

Support (20%)

• SLA for outages during peak PPC hours
• Escalation path when AI mis-qualifies a lead
• Training plan for agents (not just admin)

Anything below 3.5 weighted average should not get a brokerage-wide rollout.

Phase 3: Build vs. buy vs. consult

Three paths — honest tradeoffs:

A free consultation should produce a one-page architecture sketch: what stays, what gets replaced, pilot scope, and ballpark timeline. You are not asking for a quote on mystery AI — you are asking “Can this problem be solved with software we already own?”

What a useful consult covers:

1. Lead journey map (source → CRM → appointment → close)
2. Leak list with estimated monthly cost
3. Build vs. buy recommendation with reasons
4. 30-day pilot design — one source, one metric

We run consultations this way at Pipeline Pilot because evaluating AI for real estate is an operations decision, not an IT shopping trip. Sometimes the right answer is “fix your CRM tasks and spend nothing.” We will say that.

Bring: org chart, CRM export sample, last month’s lead source report, and any vendor contracts up for renewal.

Bottom line

Evaluating AI for real estate means defining one bottleneck, scoring vendors on integration and proof, and piloting small. Use consultation to get an architecture sketch before you commit — especially when shelf tools have already failed once.

Sources

1. NAR — REALTOR® Technology Survey
2. NAR — AI and digital tools news release
3. HUD — Fair Housing Act overview
4. Pipeline Pilot — custom AI systems
5. FTC — advertising and marketing basics for businesses