How AI Is Transforming Zoning Due Diligence in Commercial Real Estate

Artificial Intelligence is a hot topic across industries, and for the real estate industry, it holds no exception to this rising conversation.

Is AI really necessary in the commercial real estate world? Are we able to make sure AI is accurate and replicable to an actual human making these decisions and insights?

AI is no longer just a talking point in the commercial real estate world, but a point of action. We are beginning to see a shift in how teams identify risk, review data, and make decisions in real estate, and especially in the due diligence process.

Zoneomics is a zoning data and intelligence provider, and we sit directly at the intersection of AI, zoning, and commercial real estate due diligence. So let’s unpack the conversation around AI and zoning due diligence in present-day commercial real estate.

The Intersection of AI in Zoning and Commercial Real Estate

Zoneomics is no stranger to AI, as we are a zoning intelligence data platform provider that uses machine learning and AI to digitize and standardize zoning data across the United States.

Real estate teams of developers, appraisers, lenders, and proptech teams know the real pain of sourcing and verifying zoning information across municipalities. With each city’s different codes and ordinances, it can get quite harrowing to gather detailed zoning information from each jurisdiction.

It also isn’t helpful either, with the United States having around 30,000+ jurisdictions, each with its own set of explanations on land use and what can or cannot be built. When we think of the due diligence process, it is a huge headache to ensure proper planning is performed to avoid a potential lengthy lawsuit.

When we add artificial intelligence in the mix, AI can dramatically reduce manual zoning research and speed up verification to support earlier risk identification, which takes out the biggest bottleneck when it comes to sourcing centralized zoning data.

In a recent conference panel at NAIOP I.Con East, our CEO and Founder of Zoneomics, Matthew Player, pinpointed the current standing issue with commercial due diligence without the adoption of AI: “It’s still largely reactive, you find the issue late, you fix it late, and you price it late, and the move is to transition that with the help of AI.”

The conversation continues, featured in NAIOP’s article: Balancing Innovation and Insight, CRE’s Due Diligence. Alongside the panel with Matthew were Inga Caldwell, Partner at Cole Scholtz P.C., Peter Millar from Cushman & Wakefield, and Tim Oberweger at Stewart Title, who also shared their AI observations.

Peter Millar expressed that if AI automates too much early research work, early-career professionals may miss the hands-on learning needed to become strong reviewers, analysts, and decision-makers.

The panel also discussed how new technologies are often met with skepticism before becoming part of everyday professional processes: Inga Caldwell compared the “AI Boom” to the initial rhetoric revolving around the World Wide Web when it first came out, and Tim Oberwerger recounted his story with his friend while holding a pair of wired headphones when they first came out.

Initial reactions were often met with skepticism, but eventually acknowledged by others through its helpful use cases. AI should work in tandem with the input of expert knowledge, not as a complete replacement. As we see the current reactive state of the CRE due diligence process, it is a window of opportunity to provide comprehensive insights through the help of AI.

Why CRE Due Diligence is Still Too Reactive

Zoning issues don't entirely surface until a deal is already in motion. By the time a zoning conflict is identified, real estate teams have already committed time, capital, and resources to a site that may not pencil out. That is the galling cost of a reactive process.

Late zoning discoveries ripple across every part of a transaction. Pricing gets adjusted at the wrong moment, the entitlement strategy has to be reworked mid-process, and all these scenarios create delays that not only push timelines back but also increase carrying costs.

The teams that move fastest are the ones that surface zoning issues and have access to real-time portfolio insights before they become problems. That shift from reactive to proactive is exactly where AI-powered zoning intelligence changes the game.

How AI Makes CRE Due Diligence More Proactive

Proactive due diligence starts with having the right data at the right time. Rather than waiting on municipal offices or manually interpreting dense ordinance documents, Zoneomics gives teams instant access to zoning classifications, permitted uses, setbacks, and restrictions before a site ever enters the deal pipeline.

Before, zoning conflicts that used to surface late in a deal can now be identified at the research stage, and the impact is significant.

Now, real estate teams can gain confidence knowing zoning has been verified upfront. They can make faster, better-informed site selections, and deals that used to stall waiting on zoning information can move forward with greater certainty on both sides of the table.

AI isn’t a complete replacement in CRE but a tool to support and enhance decision-making for real estate professionals. It can reduce repetitive research and save time, but experts are still needed to verify findings and interpret the risk in order to make those final decisions.

As our CEO and Founder of Zoneomics, Matthew Player, said, “[Zoneomics’ main goal] is to search, verify, and permit, and then everything in between can be operationalized; it’s really about getting rid of the busy work, and allowing us to do the analytical work by the experts is where we want to spend our time.”

Search, Verify, Permit: Zoneomics’ AI Process

Zoneomics has always been at the forefront of digitizing zoning information using AI. Manual interpretation can take hours or even up to days before making the final call, and sometimes it means time and money that teams are unable to get back.

We use a search, verify, permit approach to make sure there are no zoning mistakes made.

Search: Instantly query zoning classifications, permitted uses, setbacks, and restrictions across 25,000+ municipalities nationwide. No manual lookups, no waiting for municipal offices.

Verify: Every answer is backed by cited legal references pulled directly from the municipal code, so your team can move forward with confidence.

Permit: Understand exactly what can be built, where, and under what conditions before you ever make an offer. Zoneomics surfaces the zoning intelligence that defines whether a deal moves forward. Explore more zoning data for your market at zoneomics.com

This builds confidence in the deal-making process and makes sure your teams do not miss any insights. Any zoning inquiry is vetted and backed with detailed information from the municipalities and zoning experts.

Why AI Zoning Intelligence Must Fit Existing CRE Workflows

The most powerful technology is the kind that fits into how your team already operates. For AI zoning intelligence to deliver real value, it cannot exist as a standalone tool that requires a separate login, a separate process, or a separate team to manage. It has to live inside the organizational tech stack where zoning decisions are already being made.

As Player has mentioned, “You want [data intelligence] to work with your co-pilot, Esri, Microsoft Word, Google Earth, Bentley, and Autodesk, or a platform like Crexi.”

Zoneomics offers solutions to directly plug in zoning intelligence into any existing platform organizations use, allowing a seamless integration that works directly with the systems in place.

The more we focus on optimization through AI, the more targeted the outputs are in mitigating risk and offering a deeper overview for professionals to make informed decisions.

From One-Time Review to Portfolio Intelligence

Zoning research historically has been a one-time check at a single point in the deal process. AI changes that entirely, because now teams are able to manage the portfolio in real-time.

Zoning is the foundational layer of any real estate decision, and teams can now evaluate zoning across entire portfolios, screen markets before committing to site visits, through zoning intelligence, assisting in every stage of the real estate process. T

The shift from a single data point to proactive portfolio-level insights is where the value of AI-powered zoning data becomes clear.

AI is becoming the day-to-day of our operational stack, and it is essential to weigh in on whether automation can bring in opportunities or increase substantial and total reliance. When AI is seen more in real estate, it is important to pair it with verification, transparent data practices, and human oversight, and with the common focus on enhancing industry insights.

Watch the Panel Conversation on zoning intelligence and AI in CRE

See how Zoneomics can power your CRE due diligence workflow with AI-ready zoning intelligence. Schedule a demo to learn how your team can search, verify, and act on zoning data faster.