Propmodo Thesis Driven
 
  Educational Workshop

Using AI to Automate Multifamily Property Management

How close are we to running multifamily properties with little — or no — full-time staff? Join us for a live 2-hour workshop exploring the answer.

Thursday, April 30, 2026
12:00 PM – 2:00 PM EDT  (2 hours)
Brad Hargreaves & Paul Stanton · Thesis Driven
Live on Zoom · Interactive Q&A Included

$299

per ticket

Reserve Your Seat →
 

About the Workshop

A Thought Experiment Turned Operating Blueprint

Property management has always been a people-heavy business. But automation, AI, centralization, and global labor arbitrage are quietly changing that reality — one workflow at a time.

We'll walk through Asimov Management, a full-service multifamily property manager designed to operate with zero full-time employees — examining how far today's technology stack can realistically replace, or radically augment, traditional on-site roles.

This is not a pitch for cutting headcount at all costs. It's a clear-eyed exploration of what can be automated today, where humans still matter, and how operators should think strategically about the future.

 

You'll Learn How To

Six Takeaways from the Session

01

Understand what "zero-employee" really means

Which functions can be fully automated, which require humans-in-the-loop, and which still demand on-site presence.

02

Design a centralized "brain" for operations

How PMS platforms, integration layers, and general-purpose AI coordinate complex property workflows.

03

Automate the front of the house

Marketing, leasing, touring, pricing, onboarding, and payments — operating end-to-end with minimal human involvement.

04

Rethink maintenance and resident service

AI, marketplaces, and predictive systems replacing traditional on-site teams — without sacrificing resident experience.

05

Evaluate the tradeoffs

When automation creates value, when it risks degrading service or asset quality, and how this intersects with Class A/B/C positioning.

06

Prepare for what's coming next

How improving AI reliability, computer vision, and predictive maintenance could invert resident preferences toward machines over humans.

 

Workshop Curriculum

What the Session Covers

01

The Zero-Employee Thought Experiment

Why property management is uniquely hard to automate · Lessons from Asimov Partners · Where the constraints still are and why they're shrinking

02

The Central Operating Stack ("The Brain")

PMS as system of record · Integration layers and workflow automation · Generalist AI as decision-maker · Why integrations are the biggest bottleneck

03

Marketing, Leasing & Onboarding at Scale

Automated listings and pricing · AI leasing agents and self-guided tours · Screening and lease execution · Payments and ancillary revenue

04

Customer Service & Maintenance Without Staff

AI-first resident support · Offshored human-in-the-loop models · Maintenance dispatch via marketplaces · Predictive vs. reactive maintenance

05

Renewals, Reporting & Asset Intelligence

Renewal automation · Package management without on-site staff · AI-generated owner reporting · The "asset manager" in an automated world

06

The People Problem

Why headcount reduction isn't always the answer · Service levels and cap rates · When centralization breaks · Resident expectations shifting toward machines

 

What's Included

Live 2-hour interactive session
Expert instruction from Brad Hargreaves & Paul Stanton
Practical frameworks and automation tools
Live Q&A with instructors
Post-workshop access to Circle community with recordings, vendor lists, and implementation guides

Register Now

Secure Your Spot

Thursday, April 30, 2026 · 12:00 – 2:00 PM EDT · $299 per ticket

Reserve Your Seat →

Questions? Reach us at [email protected]

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