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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.

# leads-decisions
L
Lucas APP 6:42 AM
Hot Lead: Sarah Chen
Source: Zillow · Pre-approved $650K · Timeline: This weekend
Wants: 3BR in Westwood, walkable to schools, updated kitchen
Score: 92/100 · Financing: Verified
Call NowSchedule ShowingAssign Agent
S
Sophia APP 9:01 AM
Red Flag: Unit 4B Lease Renewal
Rent escalation cap: 2% (your standard: 3.5%). Est. loss: $4,200/yr
Flag for RenegotiationAccept As-Is
< 90 seclead response time
5xfaster lead-to-showing
10-15decisions/day on Slack
90 daysto positive ROI

Quick answer

What is the Bitontree Workforce for real estate?

The Bitontree Workforce for real estate is a team of 6 specialized AI employees that handle the operational work real estate teams typically spread across junior staff: lead qualification, property matching, viewing coordinator, lease & contracts, and more. Each agent works inside your existing tools, escalates exceptions to a human, and is deployed in 8 to 12 weeks.

Integrations: Salesforce, HubSpot, DocuSign, MLS, ShowingTime, TransUnion SmartMove. Outcome: In production at real estate agencies, 5x faster lead-to-viewing conversion.

Bitontree Workforce is an AI workforce platform that deploys 6 specialized AI agents for real estate agencies and property management firms, achieving sub-2-minute lead response times and 5x faster lead-to-viewing conversion: Prospect (lead qualification from Zillow, Realtor.com, Redfin, and agency websites with sub-2-minute response time, scoring based on pre-approval status, budget, timeline, and motivation level, CRM tagging and drip campaign enrollment in Salesforce or HubSpot), Match (property matching using real-time MLS data with Comparative Market Analysis generation, personalized shortlists explaining why each property fits stated criteria, days-on-market tracking, price reduction alerts, and off-market opportunity flagging from agency listings), Book (viewing scheduling via ShowingTime and BrokerBay with multi-party coordination across buyers, sellers, listing agents, and buyer agents, lockbox code management, calendar invites with parking instructions, open house sign-in tracking, and post-viewing feedback collection), Review (lease and contract analysis with clause deviation detection for rent escalation, break clauses, CAM charges, tenant improvement allowances, make-good obligations, NNN vs. gross lease terms, CPI adjustments, and assignment/subletting rights, redline generation and market-standard comparison), Write (listing content generation tailored to property features, suburb demographics, school districts, walkability scores, and comparable sale context, professional-grade marketing descriptions for MLS, portal syndication, and social media), and Follow (post-viewing follow-up sequences within 24 hours, interest level gauging, vendor reporting with weekly seller updates, open house attendee nurturing, and hot-lead escalation with feedback summaries and recommended next steps). All agents integrate with Salesforce, HubSpot, DocuSign, MLS feeds, ShowingTime, and TransUnion SmartMove, reading lead data, writing CRM updates, running tenant credit/background checks, and coordinating schedules within your existing workflow. Every agent operates within fair housing compliance boundaries and never uses discriminatory criteria in lead scoring or property matching. The platform serves as AI for property management and brokerage operations alike, with Lucas functioning as an AI ISA for real estate that qualifies leads in under two minutes, and Lily delivering real estate lead follow-up automation that nurtures prospects and past clients through personalized sequences.

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.

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Lucas Lead Qualification
The scenario

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.

What Lucas sends you

"Hot lead: Sarah Chen, pre-approved $650K, wants 3BR Westwood, touring this weekend. Score: 92/100. [Call Now]"

Without Lucas Lead calls 3 other agents before you open. Commission lost: $19,500.
With Lucas Qualified in 90 seconds. You call at 6:45 AM. First agent to respond.
S
Sophia Lease & Contracts
The scenario

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.

What Sophia sends you

"Red flag: Unit 4B escalation cap 2% vs. your standard 3.5%. Est. impact: $4,200/yr. [Flag for Renegotiation]"

Without Sophia -$21,000 over the lease term. Nobody reads it in time.
With Sophia Caught same day. Renegotiated to 3.5%. Client keeps $21,000.
Li
Lily Follow-up & Nurture
The scenario

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.

What Lily sends you

"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]"

Without Lily Referral never requested. The Garcias list with a competitor.
With Lily Referral request sent automatically. New listing acquired. $18K commission.
E
Emma Property Matching
The scenario

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.

What Emma sends you

"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]"

Without Emma Buyer finds it on Zillow and calls the listing agent directly.
With Emma Buyer gets the match before Zillow. You schedule the first showing.

How it works

Your AI employees work. You approve.

1

They work inside your tools

Salesforce, HubSpot, MLS, DocuSign, Calendar. No new software.

2

They surface decisions

Call this lead? Send this match? Flag this clause? Approve this listing?

3

You approve on Slack

Full context + buttons. Each decision takes 5-15 seconds.

4

They execute

Lead routed, showing booked, listing published. You move on.

R
Ryan APP 10:32 AM
Showing Feedback: 742 Elm Drive
Buyer: Chen family · Rating: 4/5 · "Loved the layout, concerned about street noise"
Interest: Want to see again · Next step: Second showing
Schedule 2nd ShowingSend Comp Data
M
Max APP 7:04 AM
Listing Package: 318 Maple Court
MLS description (310 words) · 14 photo captions · Instagram post · Email blast
Fair housing: Passed
Approve AllEditRegenerate

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.

L
Lucas
Lead Qualification
Replaces: ISA ($40-50K)
  • 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
E
Emma
Property Matching
Replaces: Agent time (10+ hrs/wk)
  • Personalized buyer shortlists from live MLS data
  • CMA snapshots with price-per-sqft context
  • Learns from showing feedback to refine matches
R
Ryan
Viewing Coordinator
Replaces: TC for scheduling ($35-45K)
  • Multi-party showing scheduling in 4 minutes
  • Confirmation reminders with lockbox codes and directions
  • Post-showing feedback collected within 2 hours
S
Sophia
Lease & Contracts
Replaces: Paralegal/admin time
  • Lease term extraction and clause comparison
  • Red flag detection against your standard templates
  • Critical date tracking with 30/60/90-day reminders
M
Max
Listing Content
Replaces: Marketing coordinator ($35-45K)
  • MLS descriptions, photo captions, social posts in 5 min
  • SEO-optimized for neighborhood and property type
  • Fair housing compliance checking built in
Li
Lily
Follow-up & Nurture
Replaces: Nobody (agents forget)
  • 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

6:30a
L
Lucas — Qualifies 14 overnight leads from Zillow and website. 4 hot, 6 warm, 4 archived.
7:00a
E
Emma — 3 new matches for the Chen family. 142 Oak St: 94% fit, $625K, walkable to Lincoln Elementary.
8:00a
M
Max — 4 listing packages ready: MLS copy, 12 photo captions, Instagram post, email blast. [Approve All]
9:00a
S
Sophia — Unit 4B renewal: rent escalation cap at 2% (your standard: 3.5%). [Flag for Renegotiation]
10:30a
R
Ryan — 11 showings scheduled today. 8 feedback forms collected from yesterday. 1 no-show followed up.
2:00p
L
Lily — 3 buyers re-engaged after showing feedback. 2 past clients responded to referral ask.
5:00p
A
All — 14 decisions made today. Every lead scored, every showing booked, every follow-up sent.

The math

What you are paying now vs. what you could pay

RoleHuman costAI employeeWhat 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
5xfaster lead-to-showing
40%more re-engagement
100%critical dates tracked
90 daysto positive ROI
Not this

A lead chatbot

Structurely and Ylopo handle initial lead response. That is one function. Lead qualification is 15% of the problem.

Not this

Another CRM add-on

kvCORE and Follow Up Boss show you data. You still log in, interpret, decide, and execute. Every day.

This

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.

Compliance

Fair Housing Compliance & Data Protection

01

Every Bitontree AI agent for real estate is built to comply with fair housing laws and anti-discrimination regulations. Prospect's lead scoring algorithm uses only legally permissible criteria, budget, timeline, pre-approval status, and stated property preferences. It never scores or ranks leads based on race, color, religion, national origin, sex, familial status, disability, or any other protected characteristic.

02

Match generates property shortlists based on stated criteria, bedrooms, price range, location preferences, and property type. It does not steer buyers toward or away from neighborhoods based on demographic composition. All matching logic is auditable, and the criteria used for each recommendation are logged and available for review.

03

Tenant and buyer personal data is encrypted at rest (AES-256) and in transit (TLS 1.3). Lead information from portal sources is processed and stored within your CRM (Salesforce or HubSpot), agents do not maintain separate databases of personal information. Data retention follows your agency's privacy policy and applicable data protection regulations.

04

DocuSign integration for lease and contract workflows uses the platform's existing security infrastructure. Review analyzes lease terms and flags deviations but never auto-executes or auto-signs documents, all contractual decisions require human authorization.

05

Bitontree maintains SOC 2 Type II compliance. All agent actions are logged in an immutable audit trail, every lead scored, every property matched, every viewing scheduled is timestamped with the agent identity and the responsible agent. For agencies operating across multiple states or countries, agents are configured to reflect jurisdiction-specific disclosure requirements and regulatory obligations.

Works inside your existing tools

SalesforceHubSpotMLSZillowDocuSignShowingTimeGoogle CalendarSlack

Try Our Real Estate AI Agents Live

See how AI agents handle real estate scenarios end-to-end, qualify a new lead in under 2 minutes, generate a property shortlist from MLS data, schedule a multi-party viewing, and flag lease clause deviations. Try the live demo with actual agent responses and CRM integration in action.

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.