Artificial or Intelligence

Built for People|Powered by AI

"I know AI can help. I just don't know what to do about it."

If that sentence sounds like something you've said out loud — or thought to yourself at the end of another long day — you're not alone. Here are five questions worth asking yourself.

01
The software problem
Are your tools actually making your operation easier, or is your team spending half their week working around the software instead of working with it?
02
The labor problem
Are you paying people to do the job, or to manage the tools that were supposed to help them do it?
03
The visibility problem
Do your numbers live in three places that don't talk to each other? By the time the picture is clear, has the moment to act on it already passed?
04
The migration problem
Have you been burned before? Did the last rollout cost more than the software itself, and now trying again feels like a risk you can't afford?
05
The AI problem
You hear about AI everywhere. You've watched the demos. You've read the articles. But do you actually know what to buy, where it would fit, or whether your team would even use it?

Here's what AI does to one small task.

Watch what happens when AI handles the work and your team just verifies it. Then scroll down and run your real numbers.

Manually Executed Task
Task duration15 min
Task frequencyDaily
Error rate 3.7%
Base labor hours / year65 hrs
Rework hours / year ~5 hrs
Total hours / year~70 hrs
Labor rate$20/hr
Total yearly labor cost~$1,396
Task Executed by AI
Task duration (verify only)1 min
Task frequencyDaily
Error rate <1%
Base labor hours / year~4 hrs
Rework hours / year <1 hr
Total hours / year~4 hrs
Labor rate$20/hr
Total yearly labor cost~$87
Labor hours recovered 66 hrs
Labor cost recovered $1,309
Estimate based on AI completing one 15-minute task per workday, performed by one employee at $20/hr across 260 working days.

It's not the big problems that are bleeding you dry. It's the small ones you've stopped noticing.

One small task. One person. Now multiply that by every task on your team's plate, every employee, every day. The number gets bigger than you think — fast. Move the sliders. See what your version of this looks like.

How much is manual work actually costing you?
Adjust the numbers to match your business
Tasks per day 3
120
Employees 3
150
Avg. minutes per task 20
5 min60 min
Avg. error rate 3.7%
1%5%
Hourly labor cost $28
$15$100
Hours lost per employee / year
260 hrs
Error rework hours / year
19.2 hrs
Cost per employee / year
$7,819
Total annual cost
$23,457

Imagine getting hundreds of hours back. What does your team do with them?

Here's where the real return shows up — not in what you stop doing, but in what you finally get to start.

01

Focus on the work that actually grows your business

Your team stops spending mornings on data entry and starts spending them on customers, sales, and the work that directly pays the bills.

02

Build skills you couldn't afford to build before

When your team isn't drowning in maintenance work, they have room to learn, experiment, and step into roles you've been needing them in for months.

03

Operate at a level your competition can't match

Every day you keep doing this work manually is a day someone leaner, faster, and more focused is pulling ahead. Closing that gap doesn't take a bigger team. It takes the right tools.

We're the people who actually do the work.

We're builders before we're consultants. We design and build our own AI products — and we use that same engineering discipline to find where AI fits in your business and put it to work.

01

We find the friction

We map your workflows and identify the bottlenecks costing you the most in labor, time, and errors.

02

We show the ROI first

Real before-and-after on your real numbers. You see the math before a single line of code gets written.

03

We build and deploy

Software running inside your business, your team using it, results measured from day one.

Two builders. One conviction.

Austin Luke and David Stillson built Aoi on one belief: the gap between what AI can do and what it's actually doing inside small and mid-sized businesses is enormous — and closing it doesn't take a bigger consultancy or a fancier platform.

AL
Austin Luke
Co-Founder / Product Visionary

Austin leads product vision, brand, and go-to-market. He's the one you'll talk to first. His job is to understand your business well enough to know exactly what to build for it — and what not to.

DS
David Stillson
Co-Founder / Technology Architect

David leads technology architecture and product development. He's the one who turns the plan into working software. If it ends up running inside your operation, David built it or led the team that did.

Let's figure out where to start.

Whether you already know exactly which workflow is killing you, or you just have a nagging feeling that something needs to change — start here. The first conversation is free, low-pressure, and useful no matter what you decide to do next.

Fort Wayne, Indiana
www.artificialorintelligence.com