By Jonathan Wilson, CEO — Design Tech
I hear the same thing from almost every business owner I talk to right now: “I know AI is important. I know we should be doing something. I just don’t know what that something is.”
If that sounds familiar, you’re not behind. You’re exactly where most business owners are. The difference between companies that figure this out and companies that don’t isn’t technical knowledge — it’s having a framework for thinking about it.
Here’s the one we use with our clients.
Forget the Hype. Start with the Problem.
The biggest mistake business owners make with AI is starting with the technology instead of starting with the problem. They hear about ChatGPT, they see the headlines, and they think, “We should probably get some AI.” That’s like walking into a hardware store and buying a tool before you know what you’re building.
Instead, start by answering one question: Where is your team spending time on work that doesn’t require human judgment?
That’s it. That’s your AI strategy starting point.
Think about your own business. Where are people manually entering the same data into two systems? Where are they copying numbers from one spreadsheet to another? Where are they writing the same email for the twentieth time this month? Where are they spending hours compiling a report that should take minutes?
Those are your opportunities.
The Three Buckets
When we work with clients on AI strategy, we think about it in three buckets — from simplest to most ambitious.
Bucket 1: Automate the repetitive. This is the low-hanging fruit. Data entry, report generation, scheduling, routine communications. These are tasks where AI or automation can take over immediately with minimal risk. Most businesses have dozens of these hiding in their daily operations. You just stop seeing them after a while because “that’s how we’ve always done it.”
Bucket 2: Augment the complex. This is where AI helps your people make better decisions faster. Think about analyzing project data to spot cost overruns before they happen. Or scanning proposals to flag inconsistencies. Or summarizing a week’s worth of field reports into actionable insights in seconds. Your team still makes the call — AI just gives them better information to make it with.
Bucket 3: Build what doesn’t exist. This is where it gets interesting. When you understand your business deeply enough, you start seeing opportunities that no off-the-shelf tool solves. Maybe you need a system that tracks crew time, maps it to cost codes, and gives you real-time production data — and nothing on the market does exactly that. So you build it. This is the bucket where technology becomes a genuine competitive advantage, not just an efficiency play.
We’ve done all three for our clients. And honestly, Bucket 1 alone is worth the conversation. Most businesses are leaving hours of productivity on the table every week because nobody’s asked the question.
You Don’t Need an AI Department
Here’s what I want business owners to understand: you don’t need to hire a data scientist. You don’t need to build a machine learning team. You don’t need to understand how large language models work.
You need a technology partner who understands your business well enough to identify where AI creates value — and who can actually implement it. Not just recommend it. Not just install a tool. But sit down with you, map your workflows, find the bottlenecks, and engineer a solution that fits.
That’s a different kind of IT relationship than most businesses have. Most MSPs are managing your network and closing tickets. That’s important work. But it’s not the same as understanding your business well enough to say, “Here’s where technology can change your outcomes.”
Where to Start This Week
If you’ve read this far and you’re thinking, “Okay, but what do I actually do on Monday morning?” — here are three things:
1. Pick one workflow that annoys your team. It doesn’t have to be the most important process in your company. It just needs to be something where people are spending time on tasks that feel like they should be automated. Ask your team: “What’s the most tedious thing you do every week?”
2. Document it. Write down the steps. Who does what, in what order, using what tools? You don’t need a fancy process map. Bullet points on a whiteboard work fine. The point is to see the workflow clearly enough to ask, “Which of these steps actually require a human?”
3. Have a conversation with your technology partner. Not about AI specifically — about the workflow. Show them the process and ask, “Is there a better way to do this?” If your technology partner can’t have that conversation with you, that tells you something important about the relationship.
The Real Question Isn’t About AI
Here’s the truth: “What’s your AI strategy?” is actually the wrong question. The right question is, “Is your technology working as hard as your people are?”
For most businesses, the answer is no. And AI is one of the tools — not the only tool — that can change that. But it starts with having a technology partner who’s asking the right questions, not just managing your infrastructure.
That’s what we do at Design Tech. We’ve spent 28 years helping businesses in the Charlotte area use technology to solve real problems. We’ve built custom software for our clients. We’ve engineered AI integrations that save hours every week. And we’ve done it because we believe technology should drive outcomes, not just keep the lights on.
If you’re ready to start that conversation, we’re here.
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Design Tech is a managed technology partner for construction and manufacturing companies in the Charlotte metro area. For 28 years, we’ve combined managed IT with custom engineering to help businesses use technology as a growth lever, not just a cost center. (Linkedin Post)
