The multifamily industry doesn’t just have an AI adoption problem.
It has a literacy problem.

In this episode of the Multifamily Property Management AI Playbook, Daniel Cunningham sits down with Tamela Coval, Partner at Multifamily NEXT, to break down what actually happened when they tried to teach operators AI:

They had to stop everything…
and start with “What is AI?”

Because even senior leaders still don’t understand the difference between:

- Chatbots
- LLMs
- And AI that actually does the work

That gap is driving hesitation, bad decisions, and real fear around compliance and risk.

This episode cuts through it:

- Why most “AI tools” are still just scripted widgets
- The difference between responding to work vs executing it
- Why leaders are cautious—and what’s behind it
- How AI actually shows up in leasing vs maintenance

Because the goal isn’t to add another tool.

It’s to remove the work your team should never have been doing in the first place.

If your AI still needs your team to manage it…

You’re not running AI.
You’re just doing the same work—with better branding.

Continue the Conversation

🔗 Connect with Daniel Cunningham on LinkedIn
🎙️ Connect with Tamela Coval on LinkedIn
🏢 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

📬 Get insights from the Vendoroo Weekly Newsletter

Chapters:

00:00—The AI Literacy Problem
01:29—Tamela Coval’s Operator to Innovator Journey
07:15—The Workshop Wake-Up Call
08:54—Chatbots vs Real AI
14:31—What Agentic AI Actually Means
15:24—Inside the Dallas Workshop
19:11—The Platform Confusion Problem
21:06—The Leadership Gap
23:14—Maintenance Is the Real Opportunity
25:49—Maintenance Drives Renewals
27:39—What Leaders Should Actually Say About AI
29:21—Compliance, Risk, and Guardrails
33:58—Human-in-the-Loop = Trust
35:00—The Career Shift No One Talks About
37:08—Final Playbook: Remove Work, Not People

AI is getting easier to build and as a result we already see the business community losing sight of what's really important, what's difficult.

Every day there are
New tools.
More automation.
Faster, more human-sounding models.

That’s where most AI conversations go.

And it’s the wrong place to focus.

In this solo episode of The Multifamily Property Management AI Playbook, Daniel Cunningham breaks down where AI actually breaks when used in real life to automate property management operations.

Not in the 80–90% of routine work, the every day issues
but in the moments where things don’t go as expected.

This is where:

- Residents are stressed
- Legal and health issues are at stake
- Policies conflict with reality
- And simple work orders turn into liability

Most AI solutions can handle the obvious…
but they need to hand the problem back when it actually matters.

That’s what's hard these days. That's what vendors selling you something out-of-the-box don't care about or want you to recognize.

You’ll learn:

- Why AI doesn’t break in the majority of work—it breaks in the moments that matter
- What actually happens when workflows hit edge cases and gray areas
- Why “fully automated” AI falls apart in real property operations
- The difference between automation and true operational coverage
- Why human-in-the-loop is the architecture of trust—not a backup plan

🎧 Listen now to understand why the last 10% of operations is where AI wins or loses.

Continue the Conversation

🔗 Connect with Daniel Cunningham on LinkedIn
🏢 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

📬 Get insights from the Vendoroo Weekly Newsletter

Chapters:

00:00 AI Automation Fantasy
01:09 When AI Gets It Wrong
03:32 Why Humans Still Matter
05:48 Demo Versus Real Ops
07:21 Designing True Coverage
09:34 Maintenance Edge Case Maze
12:03 Red Flags and Real Limits
13:51 Robotaxis and Audit Lessons
15:55 Vendoroo Trust Architecture
19:54 100 Percent Coverage Promise
21:20 Trust Wins the Future
22:27 Closing and Next Episode

Your property doesn’t break in the dashboard.
It breaks in the field.

At 1:00 AM, when a pipe bursts or heat goes out, your system should answer one question: who needs help first? Most can’t.

In this episode of The Multifamily Property Management AI Playbook, Daniel Cunningham sits down with Rachael Becker, founder of RB Builds, an operations expert with 20+ years across real estate, construction, and proptech, known for bridging the gap between the field and the systems that are supposed to support it.

They unpack why property management systems fail in real-world conditions, where technicians, residents, and office teams fall out of sync. The conversation reframes AI as a system of action that closes the feedback loop between the field and decision-making.

You’ll learn:

Why property teams export data just to understand what’s happening
How broken feedback loops delay maintenance and create blind spots
Why systems built for reporting fail technicians in the field
How AI can structure intake, execution, and completion into one loop
What it takes to trust AI in real operational decisions

🎧 Listen now to learn how to fix the gap between the field and your operating model.

Continue the Conversation

🔗 Connect with Daniel Cunningham on LinkedIn
🎙️ Connect with Rachael Becker on LinkedIn
🏢 Follow Vendoroo on LinkedIn
🌐 Visit Vendoroo's Website

📬 Get insights from the Vendoroo Weekly Newsletter

Chapters:

00:00 When Property Management Fails at 1:00 AM
00:01:00 Systems Built for Reporting vs Real Operations
00:02:00 Rachael Becker’s Field-First Background
00:04:00 The Disconnect Between Field and Office
00:05:30 AI as the Missing Connection Layer
00:07:00 Why Field Teams Are Overloaded with Admin Work
00:10:00 Why Most AI Tools Fail in Property Management
00:13:00 The Trust Gap with AI in Operations
00:19:00 Why Data Exists But Isn’t Usable
00:28:00 Fixing the Feedback Loop Between Field and Office
00:30:00 The Ideal Maintenance Workflow with AI
00:32:00 Where Operators Should Start with AI Today
00:34:00 Why the Future Is Built for the Field, Not the Dashboard