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 — qualifying leads in 90 seconds, matching buyers to listings with CMA data, scheduling showings, and nurturing your entire database. Then they send you one Slack message with [Approve] or [Deny]. You make 10–15 decisions a day. They handle everything else.
What is the 100xforce
Workforce for real estate?
A team of 6 specialized AI employees that handle the operational work real estate teams usually spread across junior staff — lead qualification, property matching, viewing coordination, lease & contracts, and more. Each agent works inside your existing tools, escalates exceptions to a human, and is deployed in 8 to 12 weeks.
Agency reaches 5× faster lead-to-viewing conversion
A brokerage deployed AI agents for sub-90-second lead qualification and MLS-driven property matching — converting leads to viewings five times faster, with positive ROI inside 90 days.
Read the full case study →Here is what your AI team
would have caught today
Each scenario below 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]"
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 and buttons. Each decision takes 5–15 seconds.
They execute
Lead routed, showing booked, listing published. You move on.
Interest: Want to see again · Next step: Second showing
Fair housing: Passed
Six employees.
Six real job descriptions.
Each one replaces a hire you cannot afford yet — or a role nobody at your agency is doing at all.
What your AI team does before you finish your coffee
By mid-morning, six employees have qualified every lead, booked showings, and flagged the deals that need your attention.
What you are paying now
vs. what you could pay
Not another tool. A team.
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.
Fair Housing Compliance & Data Protection
Lead scoring uses only legally permissible criteria, matching never steers by demographics, and every contract decision requires human authorization.
Fair Housing lead scoring
Every 100xforce AI agent for real estate is built to comply with fair housing laws and anti-discrimination regulations. Lucas scores leads using 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.
Non-steering property matching
Emma 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.
Encrypted personal data
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.
Human-authorized contracts
DocuSign integration for lease and contract workflows uses the platform’s existing security infrastructure. Sophia analyzes lease terms and flags deviations but never auto-executes or auto-signs documents — all contractual decisions require human authorization.
SOC 2 & jurisdiction-aware
100xforce maintains SOC 2 Type II compliance. All agent actions are logged in an immutable audit trail — every lead scored, property matched, and viewing scheduled is timestamped with the responsible agent. For agencies operating across multiple states or countries, agents are configured to reflect jurisdiction-specific disclosure requirements.
Works inside your existing tools
No new software to learn. Your employees log into the systems your agency already runs on.
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
Everything brokers ask before their first discovery session.
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.