Tips for Managing Rental Properties

I spent the week trying to answer the question: How can I build a property management company with zero human employees? After studying every AI tool in multifamily, I found something surprising. Here's what would happen if machines ran your apartment building: A few months ago, I designed a hypothetical zero-employee development firm. Now, I'm tackling property management. I can't stop thinking about how close we are to this reality. From leasing to maintenance, there's now an AI tool for almost every step. So I designed a hypothetical property management company with zero employees: Asimov Management. The goal: a full-service multifamily property manager that happens to have no full-time staff. For this to work, we'll use AI and automation to cover: • Marketing and leasing • Pricing optimization • Virtual and self-guided tours • Tenant screening and onboarding • Customer service • Maintenance coordination • Renewals and reporting While the tech isn't 100% there yet, here's what I learned: What's already possible: → AI-powered leasing assistants handle most prospective tenant questions → Self-guided tours work through automated access control systems → Maintenance requests can be routed to third-party gig workers → Renewal offers can be automatically generated and negotiated Where we're stuck: → Physical maintenance still requires humans (robots can't fix toilets...yet) → Many residents still prefer talking to a human at a front desk → Preventative maintenance relies on technicians' intuition → Larger buildings (250+ units) struggle with full automation The reality: • The most valuable application isn't replacing property managers • It's giving them superpowers to handle more properties with less effort Here's what this means for property management: • Class definitions may shift as service expectations change • Tasks will be centralized rather than eliminated • Resident preferences may actually evolve to favor AI interactions • The best operators will blend automation with strategic human touchpoints From my experience founding Common in 2015, I learned something critical: The approaches that worked well at 50-unit properties often broke at 250 units. Technology can centralize most functions. But, some residents always prefer walking to the front desk rather than using an app. This could change as AI improves. Meaning residents may prefer the predictability of AI over unpredictable humans. We're already seeing this in ride-sharing, where Waymo beats Uber and Lyft in user retention. So how close are we to machines running property management? Perhaps far closer than we expect. What parts of property management do you think AI will transform first? Full letter on how I designed Asimov Management is linked in the comments.

I bought 11 units for $2,090,000 1 year ago. Here are 11 lessons I've learned: 1/ Your Super is your superpower Unless you have a great super (or manager) - you've basically bought yourself a full-time job. A trustworthy manager has skills you don't and allows you keep crushing your (actual) day job. 2/ Being a nice guy goes a long way Some landlords put the fear of god in their tenants. This is not my approach. There's a limit - sure. Your tenants have to respect you, otherwise they'll take advantage. But generally you get a lot more done with an affable demeanor and a smile. 3/ Finance is king Every move you make should be a factor of how it will impact your upcoming term financing. 4/ Value-add takes a lot of cash Ethical buyouts, renovations, and capital work aren't cheap. You better make sure you can support it if that's your plan. 5/ Tenants talk You should assume - particularly in a small building - that every tenant knows every conversation you have with every other tenant. Operate with that assumption. 6/ Payments are archaic All of my tenants paid with cheques when I took over. E-transfers are better (but annoying to track). Pre-authorized payments are best. 7/ Tenant selection is key Last year, it was taking around 9 months from the time your tenant stops paying you to the time you get them out (if your lucky). Today it's roughly 4 months. I learned this when a tenant lied his way into my building, explaining to my Super that his application was accepted. He lived at the building for 2 weeks before he finally agreed to leave. If he hadn't - we would have been stuck with him - not paying rent -for 4 months at best. 8/ Tenant complaints need to be addressed "There's mold by the window" "Someone's parking in my spot" "Repeated, constant loud sexual noises coming through the wall!" I've had all of these. If a complaint is made, you have to deal with it - no matter how small. 9/ Fixed cost renos only Your reno contract should include any unforeseen circumstances. You have no idea what's behind that wall being ripped out, and you certainly have less of an idea than your contractor. But if you've done it right - the price is the price. 10/ Negotiate your snow plow contract early Your "R & M budget" should be called "Snow Plow Budget". In a small building, this is one of your largest expenses. Snow plow services get booked up early. Set this contract long before the winter or you're going to get cooked. 11/ It's not that hard *Knock on wood* things continue to go smoothly. But really - it's not that difficult. I'm a big advocate for property investment - particularly for brokers - many of whom never cross the bridge to the principal side. But it's the best. Do it! #realestate

Occupancy is soft, concessions are rising, and some leaders are still acting like it’s 2019. Let me be clear 2025 requires a different playbook. In property management, I’ve always believed that data should drive decisions, but people execute them. And right now, the smartest thing we can do is stay proactive, nimble, and visible. Here’s what we’re doing to stay ahead in a market where average occupancy is dipping below 87% in some markets: • Boots on the ground leadership. I’m not leading from spreadsheets. I’m walking units, sitting with leasing teams, and hearing the real story behind the numbers. • Hyper-localized marketing. Our digital strategy isn’t one-size-fits-all. We’re targeting based on renter behavior shifts, and adjusting PPC/SEO every 2 weeks. • Retention over reaction. We’re investing in our current residents before we throw money at move-ins. Resident experience = long-term stability. • Accountability without burnout. Clear expectations, real-time support, and no micromanaging. Just grown-up leadership. If you’re still waiting for the market to bounce back before you pivot you’re already behind. This is the kind of leadership I believe in. Forward-thinking, people-first, and obsessed with performance. What’s your team doing to stay ahead of the 2025 curve? #PropertyManagement #Leadership #Multifamily #Operations #LeasingStrategy #RetentionMatters #MarketTrends2025 #PeopleOverProfit

In my last post, I talked about how brokers are sprinting ahead with AI, while property managers have been slower to adopt. But AI isn’t just a broker’s tool, it can be a powerful time-leveraging resource for property management. Here are three practical ways property managers can use AI right now: 1. Lease Abstracting & Searching Manually abstracting leases takes hours, only for that data to sit in a file until you need it months (or years) later. With AI, you can: - Process and store lease data in minutes - Instantly search your database with prompts like “Who has expense caps?” 2. Smarter Budgeting & Forecasting Budgeting often involves a degree of guesswork on certain line items. AI can help: - Pull data from IREM IE/IQ and comparable properties - Improve forecasting accuracy for next year’s operating expenses 3. Troubleshooting Building Issues Ever spent hours hunting for a maintenance solution online? I once struggled with an ice maker issue, couldn’t find an answer anywhere. Weeks later, I asked AI, and it solved it in minutes. Imagine applying that to: - Diagnosing HVAC problems - Troubleshooting leaks and electrical issues - Reducing maintenance resolution time AI isn’t replacing property managers, it’s making them more efficient. What other AI use cases do you see in property management? Let’s explore together in the comments.

Ever wonder how a building can help fight climate change? Buildings are responsible for nearly 40% of global emissions. As someone who’s spent years exploring how technology can make our world more sustainable, I’m convinced there’s massive untapped potential in the places where we live and work. This is where smart building technology comes in—not as a buzzword, but as a practical, measurable way to cut waste and boost efficiency. Here’s what it looks like in action: 🌡️ Sensors that track temperature, lighting, air quality, and occupancy—so resources aren’t wasted when rooms are empty. 🤖 AI systems that adjust heating, cooling, and lighting in real time—automatically balancing comfort and energy use. 🔧 IoT maintenance alerts that catch issues before they turn into costly failures. 📊 Dashboards that track sustainability KPIs—making progress visible and actionable. The result? Lower energy bills, healthier indoor spaces, and reduced emissions. It’s where real estate meets real responsibility. From my perspective, this shift isn’t optional. As climate goals tighten and energy costs rise, smart systems will become the standard rather than the exception. Pro tip: If you’re in real estate or facilities management, start by conducting an audit of existing systems. Even small upgrades—like smart thermostats or occupancy-based lighting—can deliver fast ROI. Technology is turning buildings from energy consumers into energy savers. What’s your take? Should all new buildings be required to include smart systems? Let’s discuss in the comments! And if you want more on sustainability, technology, and productivity, follow along for future insights. #SmartBuildings #Sustainability #ClimateTech

"This used to take me 20 hours. Now it takes minutes." That's what a VP of Real Estate told me after we transformed their property development process. Before our work together, spinning up a new property development project was a nightmare. Permits, environmental checks, utility connections, market analysis - all scattered across different systems and spreadsheets. Every new property meant 20 hours of manual setup, copying templates, hunting for information, and trying to piece together a coherent project plan. Sound familiar? Here's what we built in Smartsheet: -End-to-end predevelopment workflow from site evaluation to construction handoff -Real-time visibility across all properties in the pipeline -Automated project creation that takes seconds, not hours -Centralized dashboard showing permit status, environmental clearances, and utility connections The result? What used to be a 20-hour manual process now happens instantly. But here's the bigger impact: this VP can now see his entire portfolio in one place. No more hunting through folders or wondering where projects stand. Complete visibility into the pipeline that drives their revenue growth. When you're growing through physical property development, speed matters. Every day saved in predevelopment is revenue accelerated. Have you automated any processes that used to eat up your time? What was your biggest time-saver? #PropertyDevelopment #ProjectManagement #SmartsheetPartner #ProcessAutomation

A resident at one of our properties pushed back on their renewal offer. Current rent: $1,350/month. Market rate: $1275/month net effective. She wanted a bigger reduction than we initially offered. Here's how we think through this decision: Look at resident quality first. She pays consistently, hasn't reported maintenance issues, we've barely had to enter the unit. Good resident. Then run the turnover math. Even if we get market rate on a new lease, we're looking at:  → Turn costs (paint, clean, minor repairs) → Vacancy period (probably 30-60 days in this market) → Leasing costs → Risk of unknown new resident We're offering a $900 concession to lock in the renewal at $1,275 net effective. Not because we have to, but because the economics make sense. Retention of a good resident at slightly below market beats turnover uncertainty. This is the kind of decision we make weekly across the portfolio. Run the numbers, evaluate resident quality, choose the path that protects value. Sometimes that means holding firm on pricing. Sometimes it means creative concessions to keep good residents in place. This is how we evaluate retention versus turnover economics in every renewal negotiation. Our newsletter documents our systematic approach: resident quality metrics we track, concession math we run, and which strategies reduce vacancy across markets. Subscribe for transparency about what actually works.

*New Rental Ecosystem (proposed) under Model Tenancy Act* India’s Home Rent Rules 2025 draft marks a turning point in rental regulation, prioritizing fairness, transparency, and legal security for both tenants and landlords. Progressive Framework: The new draft, inspired by the Model Tenancy Act, aims for a balanced approach to rental management, ensuring neither tenants nor landlords are unfairly disadvantaged. Key Reforms a) Standardized, Digitally Registered Leases: All rental agreements must be documented and digitally registered on government-approved platforms, replacing older paper-based processes. This reform reduces forgery risks and makes contracts instantly verifiable, delivering greater legal safety to all parties. b) Security Deposit Limit: Residential security deposits are capped at 2 months’ rent (commercial at 6 months), easing upfront payments for tenants and curbing excessive demands by landlords. c) Predictable Rent Hikes: Annual increases are only permitted, tied to inflation indices with a mandated 90-day written notice, ensuring tenants can plan finances and avoid arbitrary hikes. d) Rental Dispute Resolution: Dedicated Rental Courts and Tribunals must resolve disagreements within 60 days, providing quicker, specialized legal recourse outside overloaded civil courts. e) Mandatory Digital Rent Payments: Rent payments above ₹5,000 must be processed digitally, boosting transaction transparency and minimizing payment disputes. f) Tax Simplification: The TDS (Tax Deducted at Source) exemption has been increased to ₹6 lakh, making tax compliance simpler for small landlords and less burdensome for tenants. Impact a) Tenant Protection: Tenants gain clear safeguards against arbitrary eviction and unreasonable charges, while enjoying hassle-free digital compliance. b) Landlord Assurance: Written, registered agreements and defined maintenance duties protect landlords against unlawful occupation or rent default. c) Digital India Push: Mandatory e-stamping and digital registration reflect India’s larger vision of transparency, modernization, and efficient property management. Challenges & Considerations a) State Implementation: Success depends on how enthusiastically states adopt and enforce the rules. b) Digital Literacy: Some groups may face barriers due to required online processes. c) Scope: Rules mostly focus on formal contracts; informal arrangements (like sub-leasing of Pagdi Property or sub-leasing of unit built on “occupied” land such as Government or Trust Land such as Zopad patti, Chawls) may remain outside strict regulation.  

As you stack more properties, your CapEx plan better evolve with it. You can’t just react anymore. You need a system. Here’s how we handle major CapEx like roofs, parking lots, and mechanicals: 1. Before we buy: We do a detailed inspection and record the age/condition of every big-ticket item. 2. After we buy: That info goes into our master CapEx tracker—one sheet that covers every property we own. 3. Throughout the year: If something happens (roof leak, storm damage, etc.), we note it and update the tracker. That item might get bumped up in priority. 4. Each year: We sort the tracker by age and condition to forecast what’s coming up. 5. Then we validate: Our team checks each flagged item to confirm it actually needs work. 6. Then we bundle: We negotiate multiple jobs at once—getting better pricing and consistent vendor quality. That’s how you avoid surprises, manage cash flow, and scale without chaos. No CapEx system = no scalable business.

AI in Real Estate: Transforming the Industry As someone immersed in the real estate industry, I’ve been fascinated by how Artificial Intelligence (AI) is revolutionizing our work. The integration of AI is transforming everything from property valuations to customer interactions, making the industry more efficient and data-driven. Here are some key ways AI is making a difference: 1. Accurate Property Valuations: AI-powered algorithms analyze vast data sets—like historical sales, market trends, and neighborhood changes—to deliver highly accurate property valuations. This helps investors and buyers make more informed decisions, reducing the risk of overpaying or undervaluing properties. 2. Predicting Market Trends: AI isn’t just about understanding the current market; it’s about predicting future trends. By analyzing economic indicators, buyer behavior, and social trends, AI models can forecast market conditions. This is crucial for investors and developers planning future projects. 3. Enhanced Customer Experience: AI-driven chatbots and virtual assistants offer instant, personalized responses to client inquiries. They guide potential buyers through property searches, recommend properties, and even handle routine questions. This level of service enhances client satisfaction and builds stronger relationships. 4. Virtual Tours & Augmented Reality: AI is taking property tours to the next level. Virtual reality (VR) and augmented reality (AR) tools powered by AI enable buyers to explore properties remotely, offering realistic walkthroughs that include room dimensions and lighting at different times of the day. This is especially valuable for international buyers or those relocating. 5. Smart Property Management: AI is a game-changer for property managers. Predictive maintenance tools monitor the health of building systems, alerting managers to potential issues before they escalate into costly repairs. AI can also optimize energy usage, reducing both operational costs and environmental impact. 6. Streamlined Administration: AI automates many administrative tasks, such as document processing and contract management. By handling these routine tasks, AI frees up time for real estate professionals to focus on more strategic activities, like client interactions. 7. Fraud Detection & Risk Management: AI plays a critical role in monitoring digital transactions for fraud. By analyzing transaction patterns and identifying anomalies, AI can detect potentially fraudulent activities, protecting both buyers and sellers. 8. Targeted Marketing: AI is revolutionizing real estate marketing by analyzing consumer behavior data to create highly targeted campaigns. This ensures that the right properties reach the right audiences. AI is no longer just a trend—it’s becoming an essential tool in real estate, helping us work smarter and deliver better results. As AI technology continues to advance, its impact on the industry will only grow.