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

Most property managers think adopting AI means rebuilding their entire operation.

New systems.
New workflows.
A massive leap of faith.

That’s where most AI initiatives stall.

In this solo episode of The Multifamily Property Management AI Playbook, Daniel Cunningham breaks down why after-hours emergency services are the easiest place to start.

This is where operations are most exposed, where residents are stressed, and where poor intake creates downstream chaos for your team.

Daniel walks through how an AI-first emergency intake layer answers every call, captures issues in a structured way, and routes them with consistency. Not to replace your team, but to remove the variability that creates risk, cost, and frustration.

You’ll learn:

- Why after-hours calls are the real report card for your property
- How poor first response creates maintenance chaos and missed priorities
- Why traditional call centers introduce inconsistency into your workflows
- How AI improves triage, documentation, and routing accuracy
- Why this is the lowest-risk starting point for AI in property management

🎧 Listen now to learn the simplest way to start using AI in property management.

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 — Practical AI Beachhead
02:40 — Why After-Hours Matters
04:56 — AI Emergency Intake Flow
05:57 — Human-in-the-Loop Safety
09:24 — Call Center Comparison
12:39 — Pricing & ROI
15:35 — Reliability & Consistency
18:36 — Wrap-Up & Next Steps

Everyone in multifamily is being told to adopt AI.

But there’s a problem hiding underneath the hype.

You cannot AI your way out of a broken operating model.

In this episode of The Multifamily Property Management AI Playbook, Daniel Cunningham sits down with Gregory Lozinak, advisor at GJL Real Estate Advisory and former COO, to talk about why many AI initiatives fail in property management.

Greg shares a simple framework for operators: standardize workflows, automate repeatable execution, then apply AI to improve decisions. They also unpack why maintenance triage may be the biggest opportunity for AI in multifamily today.

You'll learn:

- The difference between automation and AI in property management
- Why broken workflows cause most AI deployments to fail
- Greg’s 3-step model for operationalizing AI in a PMC
- How AI triage can resolve maintenance issues before a work order
- Why better maintenance data improves technician productivity

🎧 Listen now to learn how the best operators operationalize AI.

Continue the Conversation

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

📬 Get insights from the Vendoroo Weekly Newsletter

Chapters

00:00 The AI Hype Wave in Multifamily
01:00 You Can’t AI a Broken Operating Model
02:30 Greg Lozinak’s Operator Background and Perspective
05:00 Automation vs AI: What Operators Misunderstand
06:30 Why AI Amplifies Broken Workflows
09:00 Audit Your Process Before You Add AI
12:00 Why Maintenance Is the Biggest AI Opportunity
15:30 AI Triage, Work Orders, and Resident Signals
18:00 Technician Burnout and After-Hours Chaos
27:00 System of Action: The Future of Property Operations
30:30 The 3-Step Model: Standardize, Automate, Then AI