MonkSpaces.Ai deploys AI agents that actively handle leasing, property sales, operations, and tenant engagement across calls, WhatsApp, and email.
We are fostering a new paradigm for real estate companies to serve customers and streamline operations by bringing the world of AI and software together into 1 platform
Real production examples. Observe how the AI workforce resolves complexity across channels.
A prospect (AJ) calls to find a 2BR apartment in Brooklyn with a $4,000 budget.
Human agents spend 70% of their time answering basic pet, subway, and pricing questions.
AI Agent "Chloe" qualifies the prospect and matches them to units within 3 minutes.
Inbound Call Recording
USA - Brooklyn Market
Chloe (AI) vs AJ (Prospect)
Mark Henry reports a broken geyser that missed its first repair slot.
Manual coordination between tenants and plumbers leads to 48-hour delays.
The AI identifies the missed log and reschedules the plumber in seconds.
Mark Henry
Maintenance Ticket
Shaun Pierre requests early termination of his lease at Sky Realty.
Reviewing complex lock-in periods and calculating penalties manually slows down leasing cycles.
AI Agent "Peter" parses the contract and calculates the penalty instantly.
Subject
Re: Early Move-Out Request - Shaun Pierre
MonkSpaces.Ai agents are designed around actual jobs real estate teams perform.
98%
Leads Activated
Manage day-to-day tenant communication, routine questions, and updates. Escalate only when real human judgment is required.
"Before MonkSpaces.Ai, a large part of our leasing and operations effort went into follow-ups, coordination, and chasing things across channels. That work doesn’t scale, and it was starting to affect consistency."
"With MonkSpaces.Ai, we effectively added an AI workforce that executes this work continuously. Leads are responded to, follow-ups happen on time, tenant communication is handled cleanly, and our teams are pulled in only when real judgment is required."

Darren Loh
Chief Operating Officer

Observed outcomes from operators using the AI workforce in production.
Removing coordination gaps
Shifting repetitive work to AI
Driven by sub-minute responses
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The AI workforce adapts to the context. The execution model remains the same.
If your teams are stretched by noise, the problem is not intent. It is execution at scale. Let's fix it today.