Educational Workshop: Building the Zero-Employee Property Manager

About This Workshop

A live interactive workshop for owners, operators and asset managers exploring how close we really are to running multifamily properties with little—or no—full-time staff.
 

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.
 

​In this workshop, we’ll walk through a thought experiment turned operating blueprint: Asimov Management, a full-service multifamily property manager designed to operate with zero full-time employees. From leasing and onboarding to maintenance, renewals, and reporting, we’ll examine 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. Instead, it’s a clear-eyed exploration of what can be automated today, where humans still matter, and how operators should think strategically about service levels, resident experience, and asset positioning in an increasingly automated world.
 

​You’ll leave with a practical framework for evaluating automation opportunities in your own portfolio—and a clearer view of what the future of property management may actually look like.
 

​Participants will receive post-workshop access to our community on Circle, where we’ll share recordings, recommended tools, curated vendor lists, and implementation guides.

You’ll Learn How To

​Understand what “zero-employee” really means

​Learn which property management functions can be fully automated today, which require humans-in-the-loop, and which still demand on-site presence.
 

​Design a centralized “brain” for operations

​Explore how PMS platforms, integration layers, and general-purpose AI can work together to coordinate complex property workflows.
 

​Automate the front of the house

​See how marketing, leasing, touring, pricing, onboarding, and payments can operate end-to-end with little to no human involvement.
 

​Rethink maintenance and resident service

​Understand how AI, marketplaces, and predictive systems can replace traditional on-site teams—without sacrificing resident experience.
 

​Evaluate the tradeoffs

​Learn when automation creates value, when it risks degrading service or asset quality, and how these decisions intersect with Class A/B/C positioning.
 

​Prepare for what’s coming next

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