The Multi-Family Property Management AI Playbook

Daniel Cunningham

The Multi-Family Property Management AI Playbook is a podcast for multi-family leaders who know AI is coming and want to understand what’s truly possible, what actually works, and what they need to know now.. Hosted by Daniel Cunningham, the show explores how AI can be applied inside real property management operations, from maintenance and vendor coordination to leasing, resident communication and other operational efficiencies. Each episode unpacks real-world implementations alongside the early questions operators care most about: where AI delivers value, where it falls short, what changes operationally, and what it takes to adopt it responsibly. This isn’t futurism or vendor hype. It’s a practical guide for owners and operators who are evaluating AI, looking for signal over noise, and want a clearer view of both the opportunities and the tradeoffs before making real decisions.

Episodes

  1. Ep 4 | How AI Can Step in When Your Digital Dashboard Fails Analog Property Operations in the Field w/ Rachael Becker

    5D AGO

    Ep 4 | How AI Can Step in When Your Digital Dashboard Fails Analog Property Operations in the Field w/ Rachael Becker

    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, CEO 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

    38 min
  2. Ep 3 | After-Hours Emergency Services Is the Easiest Way to Start Using AI in Property Management w/ Daniel Cunningham

    MAR 24

    Ep 3 | After-Hours Emergency Services Is the Easiest Way to Start Using AI in Property Management w/ Daniel Cunningham

    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

    20 min
  3. Ep 2 | You Can’t AI Your Way Out of a Broken Operating Model w/ Gregory Lozinak

    MAR 17

    Ep 2 | You Can’t AI Your Way Out of a Broken Operating Model w/ Gregory Lozinak

    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

    34 min
  4. Ep 1 | The AI Inflection Point We're In For Multifamily Property Management w/ Pablo Gonzalez

    MAR 10

    Ep 1 | The AI Inflection Point We're In For Multifamily Property Management w/ Pablo Gonzalez

    Daniel Cunningham recently found a CEO to run his company, Leonardo24/7, and now serves as President of Multifamily at Vendoroo, where he is going all in on figuring out the AI future for multifamily.   This podcast is an exploration in to what's coming. To kick off the Multifamily Property Management AI Playbook Podcast, we’re starting with a conversation where Daniel is on the other side of the mic. Before hosting the show, Daniel joined Pablo Gonzalez on the Property Management Frame Breakers podcast to unpack why maintenance triage is the hardest operational problem in multifamily and why solving it unlocks real NOI gains. The conversation explores the operational chaos property managers face daily and why AI should act as a forever teammate, not just another dashboard. You’ll learn: - Why he chose to go all in on a new direction right now - How maintenance triage quietly drains technician capacity and increases burnout - The $5 per unit monthly cost operators pay just to triage maintenance requests - The difference between automation and true AI in maintenance workflows - Why the future property team may only require a single onsite maintenance ambassador 🎧 Listen now to learn why solving maintenance triage unlocks the next operational playbook for property managers. Continue the Conversation 🔗 Connect with Daniel Cunningham on LinkedIn 🎙️ Connect with Pablo Gonzalez on LinkedIn 🏢 Follow Vendoroo on LinkedIn 🌐 Visit Vendoroo's Website 📬 Get insights from the Vendoroo Weekly Newsletter Chapters: [00:00:00] The "Hard" Problems in Property Management  [00:03:00] The Evolution of AI in Leasing  [00:05:00] Challenges in Maintenance and Vendor Management  [00:09:00] The Value Proposition of AI in Multifamily  [00:13:00] Cost Analysis of Maintenance Triage  [00:15:00] Daniel’s Background and Journey  [00:19:00] Automation vs. True AI  [00:25:00] Technical Challenges and Edge Cases  [00:28:00] Agentic AI and Integrations  [00:33:00] Choosing the Right Team and Culture  [00:38:00] The Future of Property Management  [00:43:00] Impact of AI on Multifamily Investments

    50 min

About

The Multi-Family Property Management AI Playbook is a podcast for multi-family leaders who know AI is coming and want to understand what’s truly possible, what actually works, and what they need to know now.. Hosted by Daniel Cunningham, the show explores how AI can be applied inside real property management operations, from maintenance and vendor coordination to leasing, resident communication and other operational efficiencies. Each episode unpacks real-world implementations alongside the early questions operators care most about: where AI delivers value, where it falls short, what changes operationally, and what it takes to adopt it responsibly. This isn’t futurism or vendor hype. It’s a practical guide for owners and operators who are evaluating AI, looking for signal over noise, and want a clearer view of both the opportunities and the tradeoffs before making real decisions.

You Might Also Like