The Execution Era

An AI Workforce That
Runs Real Estate Execution

MonkSpaces.Ai deploys AI agents that actively handle leasing, property sales, operations, and tenant engagement across calls, WhatsApp, and email.

WhatsApp Leasing Workforce
"I'm interested in the 2BR unit. Is the viewing still on for today?"
"Absolutely! I've confirmed your slot for 5:00 PM. Would you like me to send the digital key access?"

Software tracks the work, but AI DOES the work.

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

This is what execution by AI looks like

Real production examples. Observe how the AI workforce resolves complexity across channels.

Leasing Inbound Call (Voice AI)

The Context

A prospect (AJ) calls to find a 2BR apartment in Brooklyn with a $4,000 budget.

The Manual Burden

Human agents spend 70% of their time answering basic pet, subway, and pricing questions.

The AI Execution

AI Agent "Chloe" qualifies the prospect and matches them to units within 3 minutes.

Inbound Call Recording

USA - Brooklyn Market

Live

Chloe (AI) vs AJ (Prospect)

0:004:15
Ops Coordination (WhatsApp)

The Context

Mark Henry reports a broken geyser that missed its first repair slot.

The Manual Burden

Manual coordination between tenants and plumbers leads to 48-hour delays.

The AI Execution

The AI identifies the missed log and reschedules the plumber in seconds.

Mark Henry

Maintenance Ticket

Hey, any update on my complaint?
Typing...
Type a message...
Lease Management (Email)

The Context

Shaun Pierre requests early termination of his lease at Sky Realty.

The Manual Burden

Reviewing complex lock-in periods and calculating penalties manually slows down leasing cycles.

The AI Execution

AI Agent "Peter" parses the contract and calculates the penalty instantly.

PETER@SKYREALTY.COM (AI)

Subject

Re: Early Move-Out Request - Shaun Pierre

Hi Shaun,

AI agents designed around real-world roles

MonkSpaces.Ai agents are designed around actual jobs real estate teams perform.

AI Leasing & Sales Agents

  • Respond to inbound inquiries instantly
  • Follow up across calls, WhatsApp, and email
  • Coordinate site visits and schedules
  • Re-engage dormant leads
  • Maintain consistent communication until outcomes are reached

98%

Leads Activated

AI Operations & Coordination

  • Handle tenant requests and service issues
  • Coordinate with vendors and teams
  • Send payment reminders and status updates
  • Help residents with movements & bookings

AI Engagement & Support Agents

Manage day-to-day tenant communication, routine questions, and updates. Escalate only when real human judgment is required.

Human-in-the-loop assurance
24/7 Availability

"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

Darren Loh

Chief Operating Officer

Coliwoo

What changes when execution is handled by AI

Observed outcomes from operators using the AI workforce in production.

30-40%

Faster lead to closure

Removing coordination gaps

20-25%

Increased operational efficiency

Shifting repetitive work to AI

10-25 Pts

Increase in customer NPS

Driven by sub-minute responses

Trusted execution infrastructure

Coliwoo
Cove
Forum
Hive Coliv
LHN Group
Node
Phoenix Mills
Planet Smart City
SharedEasy
The Working Capitol
Coliwoo
Cove
Forum
Hive Coliv
LHN Group
Node
Phoenix Mills
Planet Smart City
SharedEasy
The Working Capitol

Built for real estate businesses where execution matters

The AI workforce adapts to the context. The execution model remains the same.

See what happens
when AI runs execution.

If your teams are stretched by noise, the problem is not intent. It is execution at scale. Let's fix it today.

Let's talk AI for your business