Construction companies are incredibly good at building things.
Their internal operations? Sometimes that’s another story.
Spreadsheets that don’t talk to each other. Estimates passed manually from one person to another. Scheduling handled across multiple systems. Follow-up emails written one at a time. Teams copying and pasting information between platforms that were supposedly purchased to make work easier.
Kelly Stephens saw that problem firsthand.
Today, through EyeOn Automations, she helps $20M–$100M construction companies simplify operations using practical AI and custom automation.
And her approach is refreshingly simple:
AI should make the work easier—not add another piece of software people have to figure out.
From Homebuilding to AI
Kelly didn’t enter construction because AI became trendy.
She studied housing and urban development at Arizona State University with the goal of working for a homebuilder. She graduated in 2006, just as the housing market was beginning to collapse.
It took several years before she landed the role she had originally wanted, eventually working for one of the largest homebuilders in the country across sales, land, and construction.
That experience gave her a front-row seat to one of construction’s biggest operational problems.
The systems often didn’t communicate.
There were spreadsheets everywhere. Employees were manually moving information between programs. Highly skilled people were spending large chunks of their day doing repetitive administrative work.
Kelly remembers thinking:
“I have a degree. Why am I copy and pasting?”
That question eventually became the foundation for her business.
The Real Opportunity for AI in Construction
When people hear “AI in construction,” they often imagine robots on jobsites or software instantly reading blueprints.
Kelly sees a much more immediate opportunity.
AI can improve everything happening around the actual construction work.
Take estimating.
While fully automated takeoffs are still developing, AI can already help construction companies streamline what happens after the numbers are entered.
A system can generate a proposal, send it to the customer, collect a signature, track whether the document came back, and organize everything inside a central workflow.
That means fewer handoffs.
Fewer forgotten follow-ups.
Less searching through inboxes.
And a lot less administrative work.
Scheduling is another major opportunity. AI-powered systems can help crews know where they need to be, when they need to be there, and what information they need.
Even email can become dramatically easier.
Instead of writing every message from scratch, companies can have AI draft responses and place them directly into an employee’s drafts folder for review.
Kelly described the value perfectly: work that once took hours can sometimes take seconds.
Less Manual Work. More Time to Build.
That may be the clearest way to describe what Kelly is doing.
The goal isn’t to add “AI” everywhere just because everyone is talking about it.
The goal is to remove friction.
For a growing construction company, small inefficiencies become expensive very quickly.
If five employees each lose an hour per day moving information between systems, that isn’t just annoying.
That’s hundreds of hours per year.
Multiply that across estimating, scheduling, proposals, sales follow-up, operations, and project management, and suddenly automation becomes a serious profitability conversation.
AI doesn’t have to replace the people doing the work.
It can remove the work they shouldn’t be doing in the first place.
Why Custom Automation Matters
Most construction companies already have software.
The problem is that the software rarely matches the business perfectly.
Kelly describes the difference as build versus buy.
A large platform may solve 75% of a company’s problems.
But that remaining 25% often becomes the messy part—manual spreadsheets, workarounds, duplicate entry, and employees building their own unofficial systems just to get the job done.
EyeOn Automations approaches the problem differently.
Instead of starting with software, Kelly starts with the workflow.
What happens first?
Who touches the information?
Where does it go next?
Which systems need to communicate?
Where does the process slow down?
Then she designs the automation around the way the company actually works.
That difference matters.
Because software built “for everyone” can easily become software that works perfectly for no one.
The Construction Industry Is Interested in AI—But Still Cautious
Kelly believes construction companies are excited about AI, but many are also overwhelmed.
That makes sense.
Construction is an industry where experience matters tremendously, and many operators built successful companies without ever needing to understand APIs, large language models, or automation platforms.
Now they’re suddenly being told AI is going to transform everything.
Some worry it will eliminate jobs.
Others simply don’t know where to begin.
Kelly has an advantage here because she previously trained construction trades on software.
She understands that the technology cannot just be powerful.
It has to be practical.
It has to make sense to the person actually using it.
And once employees see an AI workflow turn a two-hour task into a two-minute task, the conversation changes quickly.
Is AI Taking Jobs—or Creating New Ones?
Kelly doesn’t avoid the difficult part of the AI conversation.
She has seen automation replace an administrative role.
But she has also seen something else happen.
Two companies she worked with ended up creating full-time AI engineer or AI operations engineer positions after realizing how much opportunity existed inside their organizations.
Those employees now focus on workflows, system integration, automation, and operational improvements.
That is a job category that barely existed a few years ago.
AI may remove certain tasks.
But it is also creating entirely new categories of work for people who understand both technology and business operations.
AI, Construction, and Affordable Housing in Orange County
Kelly is also exploring how technology can solve problems beyond corporate efficiency.
She discussed an upcoming collaboration involving the UCI Center for Real Estate, Anthropic’s Impact Labs, students, and Habitat for Humanity.
The idea is to use technology to support Habitat for Humanity’s mission of creating more affordable housing in Orange County.
That challenge is especially significant locally, where demand for affordable housing dramatically exceeds supply.
For Kelly, this is where AI becomes more interesting.
The real question isn’t simply:
What can the technology do?
It’s:
What happens when you put the right people, the right problem, and the right technology in the same room?
Being a Woman in Construction and AI
Kelly has spent much of her career in industries where women remain underrepresented.
Construction was male-dominated.
Technology is male-dominated.
Now she operates at the intersection of both.
Interestingly, she doesn’t spend much time thinking about it.
She has worked in those environments for most of her career, and in some ways, she sees being different as an advantage.
She also brings something to the conversation that technology companies sometimes overlook:
communication.
Automation doesn’t succeed just because someone can build it.
People have to adopt it.
Teams have to understand it.
Operators have to trust it.
And someone has to keep the project moving.
Where Construction AI Goes Next
Kelly expects adoption to accelerate significantly over the next several years.
Larger construction and commercial real estate companies are already experimenting aggressively with AI.
As those companies prove what works, smaller and mid-market businesses are likely to follow.
And eventually, AI will move beyond administrative workflows.
Kelly is especially excited about robotics.
Construction robots, drones, computer vision, automated manufacturing, and AI-powered equipment could eventually change what happens on the jobsite itself.
But companies don’t need to wait for robots to start benefiting from AI.
There is already plenty of opportunity sitting inside their existing workflows.
Kelly’s Advice: Start With the Work You Already Do
For business owners wondering where to begin, Kelly recommends something simple:
Look at your day.
What do you repeat?
Where are you copying information?
Which task makes you think, “There has to be a better way to do this”?
What takes two hours that should take twenty minutes?
Those are often the best places to begin.
She also recommends learning directly from platforms such as Claude and ChatGPT before spending large amounts of money on AI courses.
Then, once you understand the basics, work with someone who understands your actual industry and can translate AI into your company’s workflows.
Because knowing AI isn’t enough.
The real value comes from understanding the business.
Building More Than Better Software
When I asked Kelly about the legacy she wants to leave, she didn’t give me a perfectly polished mission statement.
And that might have been the best answer.
She wants to live a passionate, positive life and help the people around her succeed.
She thinks about the contractors she works with, their families, the businesses she helps grow, and the ripple effect that creates.
She also loves animals and can imagine someday using her success to support or even operate an animal shelter.
That’s the larger story behind EyeOn Automations.
Yes, it’s about AI.
Yes, it’s about construction.
Yes, it’s about making businesses more efficient.
But ultimately, it’s about helping people spend less time fighting broken systems—and more time building something that matters.
Less manual work. More time to build.
That’s a future construction companies can understand.
Leave a Reply