We were lucky to catch up with Michael Walliser recently and have shared our conversation below.
Alright, Michael thanks for taking the time to share your stories and insights with us today. We’d love to hear about the early days of establishing your own firm. What can you share?
I started in real estate at 22, joining a RE/MAX office that happened to be the brokerage I’d bought my first two homes through. From day one I was paying $600 a month in desk fees on top of a commission split, and when I sat down at my desk for the first time, someone handed me a phone book. My sphere of influence was also 22 years old and not exactly ready to buy houses, and we were walking straight into one of the worst real estate crises in American history.
It didn’t take long before I got recruited to a smaller boutique firm doing REO work as the market collapsed. That was my first real look at the inner workings of an independent brokerage and at how much of this business runs on raw work ethic. I still remember a photograph of my broker on the phone with a laptop on her lap, in the hospital, delivering a baby. The industry treats that as a badge of honor, and I understood the sentiment, though the truth underneath it is that the systems and structures needed to support a scaling small brokerage didn’t exist then and largely still don’t today. That gap is what eventually became my problem to solve.
From that shop, a broker I’d worked with at RE/MAX recruited me into starting a Fonville Morrissey franchise. The pitch was straightforward: a flat monthly fee instead of a split, capped downside, uncapped upside. We started moving deeper into property management after referring out so much investor business that it made more sense to bring it in-house. I remember finishing a full day in the office at six in the evening, driving out to properties to check that the grass got cut and to help painters finish turnovers, leaving at midnight, showering, and being back at six in the morning to review applications. That stretch is where I learned what it actually costs to keep things moving in this industry.
After a brief period selling commercial insurance for Nationwide, I got pulled back into real estate on the investment side. A few partners and I built a portfolio, handling the renovations and leasing ourselves, and that’s when I went deep into HUD and Fonville Morrissey and, more importantly, into the systems they used to manage thousands of assets simultaneously. A nearby brokerage handling Fonville Morrissey listings recruited me as a broker. It was a 12-person shop when I joined and had grown to 20 by the time some of us moved on.
Watching agents wrestle with a fragmented stack of CRMs, lead sources, and transaction tools while institutional clients operated on tightly integrated platforms made the disparity impossible to ignore. The institutional side had a single source of truth. Retail brokerage had ten. When a group of us got approached by an institutional investor on a buy-to-rent mandate, that was the trigger to start my own brokerage. That deal also taught me how major capital actually tracks due diligence and transactions end-to-end, and I carried those patterns into the firm from the start.
Through the late 2010s I tried to build the supporting infrastructure by integrating the best-of-breed tools on the market. In 2018 we won a contract with NCDOT to handle land disposition across North Carolina, and scaling that work made the structural problems with sitting on top of other people’s platforms unavoidable. Every integration hit a ceiling someone else had set. By 2020 we had decided to build our own platform from the ground up. We were in OpenAI’s beta early, and we made an architectural decision that everything since has flowed from: a centralized, deterministic source of truth, with every tool built around it. That is the core of what EasyDigz is today.
The biggest thing I would tell a young professional thinking about going independent is this: most of what gets sold to you as “value” in this industry is really someone else displacing their liability onto you. Desk fees, splits, lead programs, tech stacks held together with duct tape you are absorbing risk and paying for the privilege. Get clear-eyed about where liability actually lives in a transaction. Build or choose systems that move it off your shoulders, not onto them. And don’t confuse work ethic with a working business model, because I watched too many great brokers burn themselves out compensating for broken infrastructure. Work ethic is the floor. Systems are how you scale past it.
If I were doing it over with what I know now, I would have built or bought toward a single source of truth far earlier. Years of my career went into duct-taping siloed tools together when I should have been treating data architecture as the actual product.

Michael, before we move on to more of these sorts of questions, can you take some time to bring our readers up to speed on you and what you do?
I’m Michael, founder and CEO of EasyDigz, and a licensed North Carolina real estate broker since 2006. EasyDigz is a broker-built real estate technology platform integrated with Doorify MLS, serving the Research Triangle. I also run Carolina Land Experts, which handles NCDOT right-of-way and remnant property work across the state.
I came up through every side of this business: retail brokerage, REO and foreclosure work during the 2007 to 2010 crash, property management, investment acquisitions and renovations, institutional buy-to-rent, and large-scale public-sector land disposition. That path wasn’t a plan; it was the market forcing me to learn what I needed to know at each turn. What it gave me is a useful lens. I’ve been the agent buried in a phone book, the broker chasing painters at midnight, the investor stress-testing a portfolio, and the operator handling assets for institutional capital. EasyDigz is the platform I wish I’d had at every one of those stages.
What we do in plain terms: we consolidate the tools brokerages have been forced to stitch together, including CRM, IDX websites, transaction management, marketing automation, and lead routing, into a single deterministic data platform built on top of MLS data sovereignty. No commission split. No equity ask. No lock-in. The differentiator isn’t any one feature; it’s the architecture underneath. When your data lives in one place and behaves predictably, every workflow built on top of it gets faster, cheaper, and more honest. When it doesn’t, you spend your career reconciling spreadsheets.
The core problem I’m solving is something I learned watching every part of this industry: value gets created by displacing liability. You pay a restaurant so you don’t have to source the ingredients and risk burning dinner. You pay a contractor so the work, and the insurance behind it, belongs to them. Most technology sold to brokers actually loads liability onto them. Their data, their compliance exposure, their client relationships are all parked on someone else’s roadmap and subject to someone else’s pricing decisions. We flip that. The platform is built to take liability off the broker’s shoulders rather than quietly transfer it.
What I’m proudest of is that we’ve been able to keep solving real problems at both the independent and institutional level. The same architecture serves a solo broker and a large operator, because the underlying truth is the same regardless of scale.
What I want brokers and brokers-in-charge to know is that this was built by a broker, for brokers. The decisions inside the platform aren’t theoretical. They came from desk-fee invoices, midnight turnovers, REO deadlines, NCDOT contracts, and twenty years of watching where the cooperative model works and where it gets undermined. EasyDigz exists to keep that model intact, and to make sure the people doing the work get to keep more of the value they create.
Learning and unlearning are both critical parts of growth – can you share a story of a time when you had to unlearn a lesson?
The lesson I had to unlearn was that technology was a distraction from the real work of being a broker.
In my early years, Realist started rolling out through the MLS, and I went to the training. I came back to my office genuinely excited. There was a whole layer of capability sitting right there, and you could run a much more cohesive practice on top of it. I tried to explain what I’d seen to the brokers around me and got laughed at. The consensus was that the MLS was for adding and editing listings, full stop, and that I should stop wasting time on technology and go knock on doors.
I bought it. For about three years I let that conventional wisdom override what I’d seen with my own eyes. Then it took me another three years to fully unlearn it and start trusting my instincts again. That’s six years of lag produced by three years of bad advice, and another four after that to catch back up to where I would have been otherwise. Three years of listening to the wrong room cost me roughly a decade.
I’ve watched the same pattern play out with sharp, perceptive people in this industry over and over. Someone sees something real, the room talks them out of it, and the cost compounds quietly for years. The real lesson I had to unlearn isn’t about technology specifically. It’s that consensus in real estate is a reliable signal. It often isn’t. There are a thousand legitimate ways to build a practice in this business, and the people most confident telling you which ones don’t count are usually the ones whose own model depends on you not finding out otherwise. If you see something real, push on it. The cost of being wrong is recoverable. The cost of deferring to a room that’s wrong is most of a career.

Have you ever had to pivot?
Honestly, my whole career has been pivots: automotive, into real estate, into commercial insurance, into hydroponics and sustainable farming, back into real estate, into investing, and now into technology. For a long time I treated each one as a setback forced on me by the market or by circumstance. The reframe that changed everything was recognizing that each pivot was actually a stress test.
Every industry I’ve worked in has its own mental models for how value gets created, where risk sits, and how trust gets built. Moving between them gives you something useful: you take a model you formed in one world and pressure-test it against the data of another. Some frameworks hold up. Most don’t. The ones that survive across three or four completely different industries are the ones worth building a company around. The conviction behind EasyDigz’s deterministic data architecture didn’t come from a real estate insight in isolation. It came from watching how every one of those industries either solved or failed to solve the same underlying problem: getting one trustworthy version of the truth into the hands of the people doing the work.
If you treat a pivot as a defeat, you write off the education that came with it. If you treat it as a validation exercise, every forced move levels you up. The pivots I resisted hardest in the moment turned out to be the ones that taught me the most about how the world actually operates and about which of my own assumptions needed to go. The platform we run today exists because I was wrong about enough things, in enough industries, for long enough, to finally see what was actually consistent underneath all of them.
Contact Info:
- Website: https://easydigz.com/
- Instagram: https://www.instagram.com/easydigz/
- Linkedin: https://www.linkedin.com/company/easydigz/posts/?feedView=all

