How AI consulting engagements are scoped, priced, and delivered — and the questions to ask before signing.
AI for Real Estate - AI agents for real estate agencies that ship, not pitch decks
Claude-powered agents that write listings, qualify buyer enquiries 24/7, match buyers to properties, review contracts, and automate vendor communication — so agents spend their time winning listings and closing deals.
- Buyer enquiry response
- 24/7
- Listings written per day
- 5x
- From kickoff to production
- 2–6 wk
- Price engagements
- Fixed
Where real estate agencies lose time today
- Writing listing descriptions — the same 30-minute job, property after property, with inconsistent quality across the team.
- Slow response to buyer enquiries — leads go cold if they wait more than an hour, especially overnight and weekends.
- Matching buyers to new listings — manually scanning portfolios, remembering which buyer wanted what.
- Reviewing contracts, Section 32s, and disclosures for issues — tedious, error-prone, delegated to whoever has time.
- Vendor communication — market updates, open home feedback, offer summaries, chasing feedback.
- Post-appraisal follow-up and nurture — vendors who “think about it” disappear into email follow-up debt.
AI workflows for real estate agencies - What we build for real estate agencies
Every engagement is fixed price and founder-led. We scope, ship, and support — typically 2–8 weeks from kickoff to production.
- Listing copy generation. Agents that take your property brief, photos, and inspection notes and produce on-brand listing copy for realestate.com.au, Domain, and your website — in your agency’s voice, not generic AI slop.
- Buyer enquiry qualification. A 24/7 AI agent that answers first-touch enquiries on email, web, and SMS — qualifies budget, timeline, finance status — and books inspections directly into your calendar.
- Buyer-to-property matching. Claude reads your buyer database and new stock, produces ranked matches with reasoning, and drafts personalised outreach — not a generic portal alert.
- Contract & disclosure review. AI that reads sale contracts, Section 32 vendor statements, and strata documents — flags unusual clauses, missing disclosures, and risks before they become problems.
- Vendor communication automation. Weekly market updates, open home feedback summaries, offer comparisons, and appraisal follow-up sequences — drafted by Claude, approved by the agent, sent on time.
- CRM & portal integration. MCP connectors for VaultRE, AgentBox, LockedOn, RP Data, Pricefinder, realestate.com.au, and Domain — AI works inside the tools your agency already runs.
Why Sandlabs - Real AI for real estate, not a ChatGPT wrapper
Most “AI for real estate” tools are ChatGPT wrappers with a listing template. We build production agents with human-in-the-loop controls, on-brand output, and deep integration into the CRMs and portals your team already uses.
- On-brand, not generic. We tune Claude against your agency’s voice, suburb knowledge, and style guide. Listings feel written by your team, not by a bot.
- Integrated, not bolted on. MCP connectors into VaultRE, AgentBox, LockedOn, and portal APIs. AI works where your team already works.
- Compliance-aware. Disclosure review and contract checks are designed for Australian state law differences, not generic US real estate assumptions.
- Claude specialists. Long contracts, subtle disclosure risks, and on-brand copy need the best model. We build on Claude for a reason.
- Fixed price. Scoped, priced, shipped. One senior partner on every engagement. No account managers.
- Ships in weeks. Most agency workflows go live in 2–6 weeks. Start with listings or enquiry response, expand from proof.
- How can real estate agencies use AI?
- The highest-leverage AI use cases for real estate agencies are: automatic listing copy generation, 24/7 buyer enquiry qualification, buyer-to-property matching with ranked outreach, contract and Section 32 review, and vendor communication automation (market updates, open home feedback, offer summaries). AI handles the volume; agents stay on relationships, negotiations, and closings.
- Will AI-written listings sound generic?
- Not if built properly. Off-the-shelf tools produce generic copy because they use a one-size-fits-all prompt. Custom AI agents are tuned against your agency’s voice, your suburb knowledge, and your style guide — so listings sound like they came from your team. We always keep a human-in-the-loop for final review before anything publishes.
- Does AI work with VaultRE, AgentBox, or my real estate CRM?
- Yes. We build MCP (Model Context Protocol) connectors that let Claude read from and write into VaultRE, AgentBox, LockedOn, RP Data, Pricefinder, and the realestate.com.au and Domain APIs. AI sits inside your existing stack, not alongside it.
- How much does AI for a real estate agency cost?
- A focused workflow (listing generation or buyer enquiry qualification) runs $15K–$40K and ships in 2–6 weeks. A multi-agent setup covering listings, leads, matching, and vendor comms runs $40K–$120K. Most agencies start with a Discovery Sprint ($5K–$15K) that produces a fixed-price quote and ROI model before commitment.
- Can AI qualify buyers overnight and on weekends?
- Yes — a 24/7 Claude agent handles first-touch enquiries on email, web chat, and SMS. It qualifies budget, timeline, and finance status, answers common questions, and books inspections directly into your calendar. Agents wake up to warm, qualified leads instead of a backlog of cold enquiries.
Further reading - Before you scope your AI project
The cost, scoping, and architecture questions we get most often — answered.
The honest limits of no-code AI agent builders and when to move to a custom build.
How to roll Claude out to a non-technical team, the use cases that pay off first, and ROI benchmarks.
When off-the-shelf AI stops working and custom development starts to pay for itself.
Let's build something great together.
Melbourne, Australia — serving founders worldwide. [email protected]