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10 CRE Operations Lessons for a Tighter Performance Era

Episode 50 of Peak Property Performance® explores why CRE owners need operational discipline, trusted data, and owner-controlled digital infrastructure.

September 24, 2026 · By Bill Douglas & Drew Hall

Commercial real estate used to give owners more room for error. A strong acquisition, favorable debt, and cap rate compression could cover a lot of operational weakness. That cushion is thinner now. In episode 50 of Peak Property Performance®, Bill Douglas and Drew Hall revisit ten conversations that all point to the same conclusion: property performance now depends on operating discipline, and operating discipline depends on trustworthy, owner-controlled data & digital infrastructure.

This milestone episode is not a highlight reel in the usual sense. The power of the conversation comes from putting different voices next to each other: owners, operators, asset managers, property managers, and technology leaders. They came from different roles, but kept circling the same questions. What do you really know about the asset? Can your team act on that information? Who controls the systems and data your property depends on?

You can listen to the full episode for all ten lessons. In this first half, we will focus on the early arc of the episode: why real estate has become an operational asset, why property managers are becoming performance drivers, and why AI only works when the owner controls the data environment underneath it.

Real estate has moved from financial engineering to operational performance

The first lesson comes from Greg Lozenak, a CRE advisor whose work spans capital development and multifamily execution. His point was direct: the market once allowed owners to win through acquisition timing, leverage, and exit conditions. A property could be operated “okay or average,” as he put it, and still produce a strong outcome because the capital markets did some of the work.

“Real estate has moved from a financial asset to an operational asset in that you really have to maximize the performance of a property from an operations standpoint to really get your targeted exit.”

That line matters because it changes what ownership has to pay attention to. If returns depend more heavily on day-to-day performance, then operations are no longer a supporting function. They are part of the investment thesis. Utility performance, maintenance response, staffing decisions, tenant experience, vendor execution, access control, connectivity, building systems, and reporting discipline all move closer to the asset manager’s desk.

Bill framed the shift clearly after the clip. There were times when cap rate compression and favorable interest rates could make up for mistakes inside the property. That is harder now. If an owner underwrites a target outcome, the property has to be operated toward that outcome through efficiencies, process improvements, better information, and tighter execution.

This is where many portfolios feel the gap. The acquisition model may be sophisticated, but the operating model is still stitched together by reports, vendor portals, spreadsheets, emails, and the judgment of overextended teams. That is not a criticism of those teams. It is a recognition that the asset is being asked to perform with a fragmented information environment. When the economics leave less room for error, that fragmentation becomes a financial issue.

Property managers are not just troubleshooters, they are asset stewards

The second major lesson came through Jennifer O’Connell, a property manager at Uniland whom the hosts described as an “accidental technologist.” The episode uses her perspective to show how much responsibility now sits with property teams. They are no longer just handling tenant complaints, coordinating service work, or reacting to operational gaps. Their decisions influence expense control, tenant satisfaction, renewal probability, and long-term asset value.

Drew captured the idea by describing the building as more than “mortar and bricks.” A property is a living operating environment. Air moves. People move. Water moves. Systems talk, or fail to talk. Vendors touch different pieces of the stack. Tenants experience the result, even when they never see the machinery behind it. The property manager is making decisions inside that environment every day.

The problem is that many of those decisions are made without a complete view of the asset. A lighting system may have one portal. Access control may sit with another vendor. HVAC data may be visible to a controls contractor but not easy for ownership to use. Network performance may be treated as a tenant complaint issue instead of a signal about the property’s data & digital infrastructure. Submetering, leak detection, cameras, gates, elevators, and on-site networks all generate operational signals, but those signals often remain trapped in separate systems.

Bill made an important distinction here. The answer is not to turn every property manager into a technologist. Property managers need enough visibility to make better decisions, but they should not be forced to become the integration layer for the building. They also should not be handed five more dashboards and told the problem is solved.

“Dashboards are not actionable intelligence, right? The system around the operator should still make good decisions easier.”

That distinction is central to Peak Property Performance®. A dashboard may display information, but it does not automatically create operational intelligence. If the data is incomplete, inconsistent, delayed, or trapped in a vendor-specific view, the property team still has to reconstruct the truth before acting. That creates more troubleshooting, not better performance.

Poor information becomes a financial problem

Ron Kutas, CEO of OneWall and a workforce housing owner-operator, brought the issue into sharper focus. Workforce housing often operates with thin margins, so weak information shows up quickly. Ron described how decisions based on anecdotal evidence from a community manager or leasing consultant can hurt performance when the data is missing or unreliable.

The lesson is not limited to workforce housing. Every asset class has decisions where weak information can turn into unnecessary expense, delayed action, missed opportunity, or repeated mistakes. The thinner the margin, the faster the pain shows up. But even in stronger assets, bad information compounds quietly across capital planning, maintenance priorities, staffing, vendor accountability, leasing strategy, and tenant experience.

This is why “better data” should not be treated as a technology objective. It is an operating and financial discipline. The purpose is not to collect more information for its own sake. The purpose is to give experienced operators enough reliable context to separate a genuine pattern from a one-time event.

That distinction changes decisions. A single complaint about temperature may be an isolated comfort issue. A recurring pattern across specific zones, times, and equipment states may point to controls, airflow, deferred maintenance, or tenant behavior. A leasing slowdown may be a market issue, or it may be tied to poor building experience, unreliable connectivity, access friction, or slow issue resolution. Without trustworthy data & digital infrastructure, teams are left to debate anecdotes instead of diagnosing causes.

Drew put the operating goal plainly in the episode: good operators need something stronger than a collection of stories to support their judgment. Experience still matters. Intuition still matters. But when anecdote becomes the substitute for evidence, the property starts absorbing avoidable risk.

  • Capital allocation gets weaker because ownership cannot tell which problems are isolated and which are systemic.

  • Staffing decisions become reactive because teams cannot see where work is being created or repeated.

  • Maintenance priorities drift because the loudest issue may not be the most economically important issue.

  • Vendor accountability becomes difficult because performance is hard to verify across disconnected systems.

This is also where the IT and OT distinction becomes practical. IT is the brains of the company: email, property management systems, accounting, CRM, and reporting tools. OT is the nerves and muscles of the building: HVAC controls, access control, cameras, submeters, leak detection, sensors, switches, firewalls, controllers, and other systems that make the property operate. Most owners have an IT strategy. Far fewer have an OT strategy. You have got a plan for IT. We help you build a plan for OT, the tech that actually runs your buildings and drives NOI.

When IT + OT are not connected under an Owner Data Standard, the asset manager sees only part of the picture. The property manager feels the friction first, but the owner ultimately books the financial result. That is why OpticWise keeps returning to the same core principle: if you do not own your data & digital infrastructure, your vendors do.

AI raises the cost of weak data

The next part of the episode turns to AI, but not in the usual way. The discussion is not about which model an owner should use, or which tool has the flashiest demo. David Stifter, PredictAP founder and former technology leader at DigitalBridge and Colony Capital, made the more important point: the data problems CRE has talked about for years have become more consequential because AI depends on the information environment underneath it.

“The entry-level stakes for getting into the AI game for a lot of these use cases is good consistent data. And with that, you can do a lot more. Without that, you're either not able to do it or you're doing it in a way that you actually could be creating bad outcomes.”

That is the practical warning for owners. AI can increase speed, but speed is only useful when the underlying information is reliable. If the data is fragmented, inconsistent, manually manipulated, or trapped in disconnected systems, AI does not magically solve the problem. It may simply help the organization act faster on weak assumptions.

Bill and Drew connected that point back to portfolio comparability. Property 1 has to be comparable to Property 9 and Property 99. That does not happen because a dashboard looks clean. It happens when the owner has access, consistency, governance, and context across the data & digital infrastructure producing the information. AI-ready is not a feature added at the end. It is the state an asset reaches when its data & digital infrastructure is owner-controlled, governed, and portable.

This is where the Peak Property Performance® book becomes especially relevant. The book is not a technology book or an AI book. It is a CRE strategy book about the operating foundation owners need before advanced tools can create durable value. The PPP 5C™ plan, Clarify, Connect, Collect, Coordinate, Control, gives owners a way to move from scattered systems toward an owner-controlled environment where better decisions can actually be made.

Seeing data is not the same as controlling it

One of the clearest moments in the episode came from Gino Barbaro, a multifamily investor with more than 2,000 units and significant assets under management. The exchange was useful because it was candid. Gino is an experienced operator, yet the conversation exposed a common ownership assumption: using a system every day does not necessarily mean the owner controls the data inside it.

“It's all inside of, probably inside of the PMS system.”

That sentence captures a structural issue across CRE. Many owners can see data through a vendor dashboard. Fewer can independently access it, export it, combine it with other systems, preserve it when vendors change, or decide how outside tools are allowed to use it. Those are different levels of control. Legal ownership, dashboard visibility, export rights, portability, and governance are not the same thing.

Bill offered a simple test for owners to use with every vendor: if we replaced you tomorrow, what do we own and what do we retain? That question applies to software platforms, service providers, building systems, access control, leak detection, connectivity, BMS, and other OT systems. IT is the brains of the company, email, accounting, reporting, and business applications. OT is the nerves and muscles of the building, the systems that move air, water, people, and bits. Most owners have an IT strategy. Far fewer have an OT strategy.

That gap matters because OT is producing more of the information owners need for performance decisions. You have got a plan for IT. We help you build a plan for OT, the tech that actually runs your buildings and drives NOI. The goal is not to remove vendors. Good vendors still matter. The goal is to make vendors components inside an owner-controlled environment, rather than the places where the owner’s intelligence begins and ends. If you don't own your data & digital infrastructure, your vendors do.

Owners need earlier signals, not just better reports

The episode then moves from ownership of information to timing. Abid Butt, a global hospitality executive and asset manager of a multi-billion dollar portfolio, described the shift asset managers want to make. Historical reporting still matters, but it often arrives after the economic result has already occurred. Owners can learn from it, but they cannot change it.

“The only thing that I can change is what's coming down in front of me and be focused on possibly impacting the future in my favor.”

That is the core difference between backward-looking reporting and forward-looking operating intelligence. Financials tell you what happened. Predictive indicators help you see what may happen early enough to intervene. That could affect leasing, utilities, insurance, staffing, maintenance, capital planning, tenant experience, or renewal strategy. The business value comes when information arrives soon enough to change a decision.

Drew made an important distinction here. Owners do not need every data point in real time. Real-time data has value, but only when the timing changes an action. The better question is: what would you want to know earlier because knowing it earlier would actually change what you do? That question helps owners prioritize the signals that matter, instead of collecting data for its own sake.

Bill tied the point back to execution. Predictive capability does not begin with a predictive dashboard. It begins with capturing the right information consistently enough to establish patterns, then connecting those patterns to an actionable event. If the signal never reaches a person or workflow that can change the outcome, it is not operational intelligence. It is another report.

Actionable takeaways for CRE owners

The second half of episode 50 makes the owner’s job clearer. Better tools are useful, but they do not replace operating discipline. AI, analytics, dashboards, and vendor platforms only create durable value when the owner controls the information environment underneath them. That environment has to be structured, portable, comparable, and governed across property systems and across the portfolio.

Start with a practical review of control. Ask each key vendor what data you can access, what you can export, what remains usable if the vendor changes, and what rights the vendor has to retain, distribute, or monetize information. Apply that same discipline to building systems and OT, not just accounting and property management software. The goal is IT + OT under an Owner Data Standard.

Then identify the operating decisions where earlier information would matter most. Do not start with a generic AI initiative. Start with the decisions that affect NOI, risk, and asset value. Utilities, insurance, occupancy, maintenance, leasing velocity, service levels, and tenant experience are good places to begin because they connect directly to the owner’s financial outcome. From there, define the data needed to support those decisions and determine whether it is trustworthy, portable, and under owner control.

Finally, keep the portfolio view in mind. A single property can improve performance, but the larger opportunity is comparability across assets. When Property Intelligence becomes Portfolio Intelligence, owners can benchmark, identify patterns, transfer what works, and make better capital allocation decisions. That is the larger arc of Peak Property Performance® Podcast: turn data & digital infrastructure into an owner-controlled asset, then use that asset to improve performance property by property and portfolio-wide.

About OpticWise: OpticWise provides owner-controlled data & digital infrastructure for commercial real estate — from PPP Audits to portfolio-wide intelligence. See how we operate or read customer outcomes.

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Bill Douglas

Bill Douglas

CEO, OpticWise • Co-Author, Peak Property Performance®

Bill Douglas is the CEO of OpticWise, where he leads the company's mission to help commercial real estate owners take control of their data and digital infrastructure. With over three decades of entrepreneurial experience and a track record of leading companies onto the Inc. 5000 list, Bill brings a systems-minded, owner-first approach to everything OpticWise delivers. He holds a mechanical engineering degree from Georgia Tech and is a graduate of MIT's Enterprise Forum Entrepreneurial Masters Program. Bill is the co-author of Peak Property Performance (Fast Company Press).

Drew Hall

Drew Hall

Founder & Chief Architect, OpticWise • Co-Author, Peak Property Performance®

Drew Hall is the Founder and Chief Architect at OpticWise. He brings deep experience designing high-performance networks for demanding clients in both the commercial and federal sectors, including professional engagements with IBM and the US Department of the Interior. Drew's expertise is in extending advanced technologies to meet the unique needs of commercial real estate, and under his technical leadership, OpticWise has developed the SIC® engineering standard that powers owner-controlled data and digital infrastructure across properties. He holds a computer science degree from Baylor University and is the co-author of Peak Property Performance (Fast Company Press).

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