Has AI made custom software affordable for small businesses?

Yes. AI now writes and tests much of the routine code, so a build takes far fewer hours. The deciding factor has shifted from price to choosing a partner who can make it work in a real business.

What does automation cost a small business?

With Loque Logic, a typical project runs $3,000 to $12,000 at a fixed price, with support usually $250 to $3,000 a month.

When is custom software still the wrong call?

When a product already fits, or the workflow is rare or still changing.

What if the developer disappears?

It keeps running if it lives in your accounts, is documented and uses standard tools.

Has AI Made Custom Software Affordable?

Why it costs less now

Most of the hours in a traditional build went into routine work: scaffolding, forms, connections, tests and documentation. AI now drafts much of that, and an engineer reviews it. The time a project takes drops, and so does the price.

That changes who can afford it. Software fitted to how one business runs used to be priced for companies with a development team. Now a ten-person firm can own the step its tools don’t cover.

Our own client work shows the scale. An SEO operations system that runs across seven dealership websites took about 100 hours¹ to build and implement, by our estimate. The monthly work it handles went from about 98 to about 14 hours² across the stores, and it costs about $21 a month³ to run.

Most businesses haven’t made the jump yet

Plenty of small businesses already use AI: 46%⁴ of small employer firms say they do. But only 7%⁵ of those describe it as fully integrated into how they work. The gap between trying a tool and having it run part of the business is where custom work now pays off.

Why cheaper doesn’t have to mean worse

Writing code was never the hard part. Anyone can generate code now. The quality comes from everything around it.

Review. An engineer reads every change before it ships.
Testing on real examples. Your actual documents, messages and edge cases, not tidy samples.
Documentation that stays current. It’s updated every time the code changes, so another team could take over.
Your accounts, your code. It runs where you control it, not on a vendor’s server.

When those are in place, AI speeds up the build without lowering the bar.

Choose a partner, not a coder

The price has come down. The risk hasn’t gone anywhere, and it sits in the parts code doesn’t cover. Look for someone who:

Knows how software fails in a working business. A supplier sends the wrong file. Two systems disagree. A customer replies to an old thread. Someone who has run a business plans for that before it happens.
Can bring your team along. New software only helps if people use it. That means fitting it around how they already work, training them on what changes, and running it next to the old way until it’s proven.
Hunts for the edge cases. Most projects don’t fail on the main path. They fail on the exception nobody mapped. A good partner asks about the odd cases first and builds a place for them to go.
Tells you when not to build. If a setting in software you already pay for does the job, that should be the recommendation.

When it still isn’t worth it

Lower cost doesn’t make custom software right for everything. Email, accounting, payroll and certified systems are still better rented. A workflow that’s rare, or still changing every month, isn’t ready to automate. And a very small business is often better served by a well set-up off-the-shelf tool.

How Loque Logic handles it

We’ve run the businesses we now build for, so we start with how the work actually happens and where it breaks. Every build runs next to your current process until it’s proven, every change is reviewed and tested, and the documentation stays current. You own all of it.