The Multi-Family Property Management AI Playbook

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 workThat 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 maintenanceBecause 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 NewsletterChapters: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 areNew 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 issuesbut 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 liabilityMost 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 NewsletterChapters:00:00 AI Automation Fantasy01:09 When AI Gets It Wrong03:32 Why Humans Still Matter05:48 Demo Versus Real Ops07:21 Designing True Coverage09:34 Maintenance Edge Case Maze12:03 Red Flags and Real Limits13:51 Robotaxis and Audit Lessons15:55 Vendoroo Trust Architecture19:54 100 Percent Coverage Promise21:20 Trust Wins the Future22:27 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, 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 happeningHow broken feedback loops delay maintenance and create blind spotsWhy systems built for reporting fail technicians in the fieldHow AI can structure intake, execution, and completion into one loopWhat 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 NewsletterChapters:00:00 When Property Management Fails at 1:00 AM00:01:00 Systems Built for Reporting vs Real Operations00:02:00 Rachael Becker’s Field-First Background00:04:00 The Disconnect Between Field and Office00:05:30 AI as the Missing Connection Layer00:07:00 Why Field Teams Are Overloaded with Admin Work00:10:00 Why Most AI Tools Fail in Property Management00:13:00 The Trust Gap with AI in Operations00:19:00 Why Data Exists But Isn’t Usable00:28:00 Fixing the Feedback Loop Between Field and Office00:30:00 The Ideal Maintenance Workflow with AI00:32:00 Where Operators Should Start with AI Today00:34:00 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 NewsletterChapters:00:00 — Practical AI Beachhead02:40 — Why After-Hours Matters04:56 — AI Emergency Intake Flow05:57 — Human-in-the-Loop Safety09:24 — Call Center Comparison12:39 — Pricing & ROI15:35 — Reliability & Consistency18:36 — 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 NewsletterChapters00:00 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

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 NewsletterChapters:[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

AI will solve everything.At least that’s what your inbox says.But after nearly 20 years in PropTech, Daniel Cunningham has seen the difference between real operational change and vanilla futurism. Some tools crash when they hit real-world data. Others actually change the math on NOI.The Multi-Family Property Management AI Playbook was created to be a filter.This show separates hype from signal and examines where AI delivers value inside real property management operations — from maintenance triage to vendor coordination to portfolio performance.If you want clarity before making decisions that impact your operations, your team, and your owners, this is your playbook.Our first episode drops March 10. Follow now!