For agencies and brokerages doing 50+ transactions/year
Your AI team qualified 14 leads, matched 3 buyers, and booked 11 showings before your first coffee.
Six AI employees work inside your Salesforce, MLS, and DocuSign. They qualify leads in 90 seconds, match buyers to listings with CMA data, schedule showings, review leases, write listing copy, and nurture your entire database — then send you one Slack message with [Approve] or [Deny]. You make 10-15 decisions per day. They handle everything else.
Source: Zillow · Pre-approved $650K · Timeline: This weekend
Wants: 3BR in Westwood, walkable to schools, updated kitchen
Score: 92/100 · Financing: Verified
Rent escalation cap: 2% (your standard: 3.5%). Est. loss: $4,200/yr
Real examples from this morning
Here is what your AI team would have caught today
Each example below is a real scenario that costs agencies thousands per month. Your AI employees catch them automatically and ask you what to do.
A pre-approved buyer submitted a Zillow inquiry at 11:47 PM last night for a $650K listing. Your office opens at 9 AM. By then, three competing agents have already called her back. Without Lucas, this lead is gone.
"Hot lead: Sarah Chen, pre-approved $650K, wants 3BR Westwood, touring this weekend. Score: 92/100. [Call Now]"
A commercial lease renewal for Unit 4B has a rent escalation cap at 2%. Your standard template uses 3.5%. Over a 5-year term, that 1.5% gap costs your client $21,000. Nobody catches it because the 40-page lease sits unreviewed for a week.
"Red flag: Unit 4B escalation cap 2% vs. your standard 3.5%. Est. impact: $4,200/yr. [Flag for Renegotiation]"
You closed the Martins' purchase 11 months ago. Their neighbors just listed their home. The Martins know three families in the neighborhood considering selling. Nobody remembers to ask for referrals because you have 200 past clients.
"The Martins' 1-year anniversary is tomorrow. Estimated equity gain: $45K. Referral request sent. They replied: 'Yes -- our friends the Garcias are thinking of selling.' [Call Garcias]"
A new listing at 142 Oak St matches the Chen family perfectly -- 94% fit based on their criteria. It hit the MLS at 2 AM. The listing is in a market where the average days on market is 8 days. Every hour counts.
"Match for Chen family: 142 Oak St, 94% fit. 3BR, open layout, walkable to Lincoln Elementary, $625K. CMA: $410/sqft (area avg: $395). [Send to Buyer]"
How it works
Your AI employees work. You approve.
They work inside your tools
Salesforce, HubSpot, MLS, DocuSign, Calendar. No new software.
They surface decisions
Call this lead? Send this match? Flag this clause? Approve this listing?
You approve on Slack
Full context + buttons. Each decision takes 5-15 seconds.
They execute
Lead routed, showing booked, listing published. You move on.
Buyer: Chen family · Rating: 4/5 · "Loved the layout, concerned about street noise"
Interest: Want to see again · Next step: Second showing
MLS description (310 words) · 14 photo captions · Instagram post · Email blast
Fair housing: Passed
Your AI operations team
Six employees. Six real job descriptions.
Each one replaces a hire you cannot afford yet -- or a role nobody is doing at all.
- Sub-90-second response to every Zillow and Realtor.com lead
- Scores readiness: financing, timeline, budget, motivation
- Hot leads routed to agents via Slack with full context
- Personalized buyer shortlists from live MLS data
- CMA snapshots with price-per-sqft context
- Learns from showing feedback to refine matches
- Multi-party showing scheduling in 4 minutes
- Confirmation reminders with lockbox codes and directions
- Post-showing feedback collected within 2 hours
- Lease term extraction and clause comparison
- Red flag detection against your standard templates
- Critical date tracking with 30/60/90-day reminders
- MLS descriptions, photo captions, social posts in 5 min
- SEO-optimized for neighborhood and property type
- Fair housing compliance checking built in
- Post-showing follow-ups within 2 hours
- Past client anniversary touchpoints and referral asks
- Re-engagement drip campaigns for dormant leads
A typical day
What your AI team does before you finish your coffee
The math
What you are paying now vs. what you could pay
| Role | Human hire | AI employee | What changes |
|---|---|---|---|
| Lucas -- Leads | $40-50K/yr (ISA) | Included | Every lead qualified in 90 seconds |
| Emma -- Matching | You (10+ hrs/wk) | Included | Personalized shortlists with CMA data |
| Ryan -- Showings | $35-45K/yr (TC) | Included | Multi-party scheduling in 4 minutes |
| Sophia -- Leases | Paralegal time | Included | Every clause caught, every date tracked |
| Max -- Content | $35-45K/yr (marketing) | Included | Full listing package in 5 minutes |
| Lily -- Follow-up | Nobody | Included | Zero missed follow-ups, referral pipeline built |
| Total | $110-190K/yr + your time | Fraction of the cost | 20+ hrs/week back |
A lead chatbot
Structurely and Ylopo handle initial lead response. That is one function. Lead qualification is 15% of the problem.
Another CRM add-on
kvCORE and Follow Up Boss show you data. You still log in, interpret, decide, and execute. Every day.
AI employees who do the work
Six employees, six roles, six sets of daily deliverables. They work. You approve. Your admin hours become closing hours.
Works inside your existing tools
Frequently asked questions
How fast do AI agents respond to new leads?
Prospect qualifies and responds to new leads within 2 minutes of submission — from Domain, RealEstate.com, your agency website, or any integrated portal. Studies show responding within 5 minutes makes you 21x more likely to qualify a lead. Prospect engages immediately with qualifying questions and schedules the next step, even outside business hours.
Do AI agents integrate with Salesforce and HubSpot?
Yes. All 6 agents integrate bidirectionally with Salesforce and HubSpot. Prospect writes qualified leads directly into your CRM with scores and qualification notes. Book reads agent calendars and writes viewing appointments. Follow updates lead status after follow-up sequences. All CRM data stays within your existing system — agents read and write through standard API integrations.
How accurate is the property matching based on MLS data?
Match reads real-time MLS feeds and matches properties against each buyer's stated criteria — price range, bedrooms, location, property type, and specific requirements. Each shortlist includes a personalized note explaining why each property fits. Match improves over time by learning from buyer feedback on previous suggestions. Agents can also flag off-market opportunities from your agency's own listings.
Can AI agents review leases and flag problematic clauses?
Yes. Review analyzes lease and contract documents against market-standard terms and your agency's approved clause library. It flags deviations in areas like break options, rent escalation mechanisms, make-good obligations, and assignment clauses. Flagged items are highlighted for the agent to discuss with the client's solicitor — Review never provides legal advice or approves contract language.
How does viewing scheduling work across multiple parties?
Book coordinates viewing times between buyers, sellers, listing agents, and buyer's agents via email and SMS. It handles rescheduling when parties cancel, sends calendar invites with property addresses and parking instructions, and confirms attendance the day before. Book respects each party's stated availability windows and manages weekend viewing requests automatically.
Does the AI comply with fair housing laws?
Yes. This is a strict compliance boundary. Prospect never uses protected characteristics in lead scoring. Match never steers buyers based on neighborhood demographics. All scoring and matching criteria are logged and auditable. Agents are configured to comply with fair housing regulations in your specific jurisdiction.
How does the follow-up sequence agent work?
Follow sends personalized post-viewing messages to buyers within 24 hours. It asks for feedback on the property, gauges interest level, and suggests next steps based on the response. Buyers expressing strong interest are escalated immediately to the responsible agent with a summary of their feedback. Buyers who are still looking receive updated shortlists based on their refined preferences.
How long does deployment take for a real estate agency?
A typical 6-agent real estate deployment takes 6-10 weeks. Phase 1 (Workforce Discovery, 2 weeks) maps your lead flow, viewing process, and contract workflows. Phase 2 (Build & Deploy, 4-8 weeks) deploys agents incrementally, starting with Prospect and Book which deliver the fastest lead conversion improvement. Phase 3 is ongoing optimization based on conversion data and agent feedback.
Can AI agents generate Comparative Market Analyses (CMAs)?
Yes. Match pulls recent comparable sales (sold, active, pending, expired) from MLS data, adjusts for differences in square footage, bed/bath count, lot size, condition, and location, and generates a CMA report with pricing recommendations. The CMA is formatted for client presentation but always requires agent review — Match provides the data analysis, your agent provides the local market judgment.
How does tenant screening work with AI agents?
Prospect runs credit checks and background checks through TransUnion SmartMove or RentPrep, verifies income against pay stubs or tax returns, calculates debt-to-income ratio, checks rental history with previous landlords, and generates a screening summary with recommendation. All screening uses only legally permissible criteria — never protected characteristics — and complies with Fair Credit Reporting Act requirements.
Can AI agents manage maintenance requests for property management?
Book receives tenant maintenance requests, triages by urgency (emergency: water leak, no heat, gas smell vs. routine: appliance repair, cosmetic issues), dispatches from your preferred vendor list, tracks work order completion, and manages tenant communication throughout. Emergency requests trigger immediate escalation to the property manager with contractor contact details.
How does transaction coordination work from contract to close?
Book tracks all contract-to-close milestones: inspection period deadlines, appraisal scheduling, loan commitment dates, title search completion, HOA document review, final walkthrough scheduling, and closing date. It sends automated reminders to all parties as each milestone approaches, flags delays that could jeopardize closing, and keeps a timeline visible to the agent and client throughout.
How much do AI agents for real estate cost?
Bitontree Workforce pricing is per-agent, not per-listing or per-lead. Most agencies start with Prospect (lead qualification) and Book (viewing scheduling) for fastest conversion improvement. Pricing scales with lead volume and integration complexity. Contact us for a custom quote based on your agency size and lead flow.
Will AI replace real estate agents?
No. Bitontree Workforce AI agents handle the operational overhead that prevents agents from building relationships — lead qualification, viewing logistics, CMA data gathering, listing content drafting, and follow-up sequences. Your agents still do every viewing, negotiate every offer, provide local market expertise, and build the client trust that closes deals. In practice, agents report spending 60% more time on client-facing activities because AI handles the admin.
Your first hire takes 15 minutes
Book a Workforce Discovery session. We map your workflows and show you which AI employees would have the biggest impact on your deal flow.