AI Won't Build Houses. But It Can Get Them Approved Faster.

_{Cyrus Symoom, CEO at Clariti, a leading provider of community development solutions that help local governments modernize permitting operations, simplify staff workflows, strengthen compliance, and deliver faster, more consistent permit outcomes.}

You submit your construction plans to the city and wait. Weeks pass, then months. Nobody calls. When you finally hear back, it’s not an approval – you missed one attachment, so you’re back to square one and the bottom of the queue.

Too many people know this story, and it’s a big reason housing has become one of the top issues on voters’ minds. 

How do we make owning a home more affordable? The conversation usually turns to zoning, funding, density, and land use. Those issues matter. But the bottleneck nobody’s naming sits underneath all of them – the review process itself. And it turns out that’s exactly the kind of problem AI is built to solve.

I never expected to be writing about permitting. I helped launch Uber Eats across Canada and Latin America and watched technology reshape an industry practically overnight. When I moved into government technology, people asked why. The answer was simple: of every industry I’d seen, government was the furthest behind on technology adoption. That also meant it had the most to gain.

What I found when I got started wasn’t what I expected. Public servants aren’t the problem. Serving a community is genuinely noble work, and most people in government want nothing more than to do it well. Too often, they simply haven’t been given the tools to succeed.

That gap matters more than people realize. For the last two decades, government technology followed one premise: digitize the existing process and call it progress. Move the paper form online. Scan the document instead of filing it. But a broken digital process is still a broken process.

AI creates a genuinely different opportunity: to rethink how work gets done, not just how it gets processed. We often talk about AI as a tool for writing code or answering questions. What gets less attention is its ability to streamline complex administrative systems that handle huge amounts of information. Permit reviews are a perfect example: hundreds of pages of plans checked against codes, prior submissions, and dozens of rules at once – high-volume work that has overwhelmed reviewers for decades, and exactly what AI can fix.

But that potential only materializes when we hold these systems to a higher bar: real outcomes, not just a process moved online. If review times aren’t measurably improving, the technology isn’t working.

This also means being clear-eyed about what AI can and can’t do. It isn’t a cure-all. It won’t fix zoning. It won’t create more funding for housing. But it can fundamentally improve the review layer, catching incomplete applications before they enter the queue, reducing the correction cycles that send projects back to the end of the line, and freeing staff to focus on decisions instead of paperwork.

If this sounds theoretical, look at what’s happening in Honolulu. City leaders have set an ambitious goal: build one of the fastest permitting processes in the country. Residential plan review times have fallen 70%, and applicants who previously waited 73 days for a response now hear back in 32.5 days. That adds up when every application contains hundreds of pages of plans, forms, and supporting documents that have to be reviewed for completeness before anyone can make a decision. The city’s planning director described the approach as “TurboTax for permitting” – applicants are guided toward complete, compliant submissions before a reviewer ever opens the project.

But the technology alone doesn’t explain those results. A lot of the progress came from rethinking how the review process worked in the first place.  That's where AI is different. Earlier tools just digitized the old process. AI is the first to spark conversations about reimaging them entirely.

Those improvements have real material consequences. When projects sit in review for months instead of days, costs rise, investors lose confidence, and housing that communities desperately need never gets built. Faster, more predictable reviews help projects move forward, businesses open their doors, and families get permit decisions sooner.

The political moment has caught up with public frustration. A White House executive order, bipartisan legislation just passed in Congress, governor-led initiatives across the country, and a new $3 million federal grant for automated permitting systems all point in the same direction: permitting reform is becoming a national priority. 

We’re seeing the shift firsthand. Cities are coming to us trying to figure out where AI fits in their operations – and increasingly it’s not just the big metros, but smaller cities that have watched backlogs grow without the staff to clear them.

But none of that pours a single foundation or frames a single house. Funding and mandates only go so far. The cities making the most progress aren't just buying new software, they're rethinking how the work gets done. Once online banking became mainstream, waiting in line felt unacceptable. Once on-demand services became popular, slow and unpredictable became inexcusable. AI is creating that same shift in expectations for government.

This isn’t really a story about permitting. It’s about what becomes possible when public servants finally have tools that match the complexity of the work they’re doing. It’s about everyone waiting on the other side of the process: the family that finally breaks ground, the business that opens on time, the homes a community has needed for years being built. The cities moving first won’t just approve permits faster. They’ll show what it means to reinvent government, not just digitize it.