An AI Audit for a real estate brokerage.
Coastal Property Group is a 12-person residential brokerage. Four agents, two ops staff, one marketing coordinator, and a broker-owner doing 60 transactions/year. This is a lightly redacted version of their deliverable. The full document ran 14 pages with workflow diagrams.
"The brokerage loses an estimated 18–22 hours/week across the team to four workflows that are either fully automatable or dramatically reducible with lightweight AI tooling. The single highest-ROI build is a listing intake assistant that pre-fills the CRM and drafts the initial MLS description from a 10-minute voice note. Estimated time savings: 4 hrs/listing. At 60 listings/year, that's 240 hours, back in the broker's pocket. Recommended path: build the intake assistant first ($4,800), then the offer-summary tool ($3,200). Hold on the showing feedback bot until you've validated the first two."
A shared Google Doc template with a structured prompt that turns your listing notes into a draft MLS description. Takes 5 minutes to set up, saves 30–45 min per listing. Works with ChatGPT or Claude today. No integration needed.
You have ~300 contacts marked "active" that haven't been touched in 18+ months. Create two saved views in FUB: "No contact in 12 months" and "Closed, no referral ask." Twenty minutes of filter setup recovers hours of pipeline confusion.
Upgrade to a single ChatGPT Team account ($30/mo total). Add three custom GPTs: one for listing copy, one for offer summaries, one for social captions. Shared context means no one is re-prompting from scratch. Setup time: 2 hours.
Use the existing iPhone Voice Memos app + ChatGPT's voice input to draft follow-up emails after showings. No integration, no cost beyond existing subscriptions. Saves 15 min per showing follow-up.
Listing Intake Assistant
Agent records a 10-minute voice note after a walkthrough. The assistant transcribes it, extracts property details, pre-fills the Follow Up Boss record, and drafts a first-pass MLS description in your agency's voice. Agent reviews and approves. No blank-page work.
Offer Summary Tool
Upload a PDF offer package. Get back a plain-English one-pager: offer price, contingencies, timeline, financing type, and a risk flag if anything unusual shows up. Designed for your agents to share directly with seller clients without a 45-minute call to explain the paperwork.
Automated Pipeline Report
A weekly digest pulled from Follow Up Boss: active pipeline by agent, deals stalled for 14+ days, closings in the next 30 days. Sent to the broker every Monday morning. Replaces the 3-hour manual export-and-format ritual.
Social Content Pipeline
When a listing goes live in MLS, automatically generate five social captions (Instagram, Facebook, LinkedIn variations), one market-update paragraph referencing the listing, and a "just listed" email for your database. Marketing coordinator reviews and schedules. No blank-page work.
Buy / Keep
- ChatGPT Team ($30/mo): Shared workspace solves the "everyone prompting differently" problem. Better than individual accounts.
- Claude Pro ($20/mo per heavy user): Better for long-document work (offer packages, leases). Use alongside ChatGPT, not instead of.
- Zapier Starter ($20/mo): Already have it. Worth expanding usage for MLS → CRM triggers.
Skip / Not Worth It
- Ylopo, CINC, or Sierra AI: Full AI lead platforms. They're $1,500–3k/mo and designed for brokerages doing 500+ transactions. Overkill at your volume.
- Otter.ai ($20/mo): You already have Whisper via the builds we're proposing. Redundant.
- Any "AI for real estate" SaaS under 12 months old: The category is littered with wrappers around GPT-4. Wait for proof of longevity before paying a recurring fee.
Every real estate brokerage has tried this. The liability surface is enormous (fair housing, disclosure, agency relationship) and clients who visit your site want a human, not a bot. The conversion rate on these is near zero for residential brokerage at your volume. Skip it entirely.
You've been on Follow Up Boss for 4 years. Your pipeline data, tags, and workflow automations are institutional knowledge. An AI-native CRM migration would take 3 months and $15–25k and the upside is marginal. Build on top of what you have.
The temptation is high but the math doesn't work yet: your close rate from inbound leads is 8%. Adding AI to a broken lead nurture strategy doesn't fix the strategy. It automates the noise. Fix the lead qualification process manually first, then automate what's working.
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