For a long time, custom software was mostly reserved for large companies.
If you were a small or midsize business, you bought software that was close enough to what you needed and then adjusted your processes around it. Maybe you added a spreadsheet here, a manual workaround there, or another SaaS product to fill a gap.
That made sense because custom software was expensive.
AI is starting to change that equation.
Not because software is suddenly free, and not because everyone is going to become a programmer. But because a very small team can now build useful software much faster than before.
I think that could eventually change the way businesses buy software altogether.
Software should fit the business
No two tire shops operate exactly alike.
Neither do two florists, law firms, manufacturers, contractors, or accounting firms.
They may offer similar products or services, but the way they quote work, manage customers, order supplies, schedule staff, handle exceptions, and make decisions can be very different.
Yet most businesses buy software built around someone else’s idea of how their industry should operate.
Then they adapt.
They add workarounds. They keep spreadsheets on the side. They enter the same information into multiple systems. Over time, the software starts shaping the business instead of supporting it.
What happens when custom software becomes affordable enough to reverse that relationship?
Instead of asking, “Which software package is closest to what we need?” a company could start with:
“How do we actually work?”
Then build around that.
The Business OS
I think we are going to see more companies develop what I would call a Business OS.
Not an operating system in the traditional sense, but a software layer built around the actual operation of the company.
It could cover customers, orders, scheduling, inventory, workflows, communication, reporting, billing, and the hundreds of small tasks that keep the business moving.
At first, it would probably connect to existing systems rather than replace everything.
Accounting may still live in QuickBooks. Payments may still run through Stripe. Email may still be Microsoft 365 or Google Workspace.
But instead of employees bouncing between a collection of unrelated systems, the Business OS becomes the place where the company’s processes come together.
The important part is that it is designed around that company.
Not the industry average.
Not the workflow a software vendor decided was best.
That company.
Where AI becomes useful
Take a florist.
A well-designed Business OS could know what inventory is available, what orders are coming up, which invoices are overdue, which customers order regularly, and what typically happens around holidays or busy seasons.
AI could use that context to reduce the day-to-day grind.
It could flag low inventory, prepare reorders, follow up on unpaid invoices, identify customers who usually order around an anniversary, or warn that an order may miss its delivery window.
It could give the owner a short morning summary of what actually needs attention.
None of that changes what the florist sells.
The business is still about flowers, design, relationships, and service.
The technology just removes friction around it.
That matters because small business owners spend an enormous amount of time doing things that are necessary but are not the reason they started the business.
If software can take more of that administrative weight off the owner and staff, they can spend more time on the product and the customer.
A new kind of technology company
I also think this creates an opportunity for a new type of technology firm.
Building the software is only part of the job.
The harder skill may be understanding the business well enough to build the right software in the first place.
A successful firm would need to understand complex business processes, ask good questions, identify where work gets stuck, and translate that into software.
It would also need to support what it builds.
That makes this kind of company look less like a traditional software vendor and more like a combination of a custom development shop, a business-process consultant, and an MSP.
Some web development firms may even evolve in this direction.
They already understand websites, integrations, and digital customer experiences. Add AI-assisted software development and deeper process expertise, and the model gets much more interesting.
Building is only half the problem
This is also where I think the biggest obstacle sits.
AI may dramatically reduce the cost of creating custom software.
That does not automatically mean it reduces the long-term cost of owning it.
A small business does not want to discover three years later that its entire operation depends on tens of thousands of lines of custom code that nobody understands anymore.
Custom software still has to be maintained.
It has to be secured, documented, upgraded, backed up, tested, and eventually handed off to someone else if the original developer disappears.
That may be the real test of whether this becomes an industry.
The breakthrough does not happen simply because AI makes software cheaper to build.
It happens if these new firms can also make bespoke software economical to maintain over its full lifecycle.
That means good architecture. Clear documentation. Strong support. Reliable hosting. Security. Data ownership. And a path for someone else to understand the system later.
In other words, custom cannot mean fragile.
An industry waiting to happen
There is a lot of attention right now on AI-assisted coding and what it means for developers.
I think the bigger story may be what it does to the economics of business software.
If small teams can build and maintain useful custom systems quickly enough, custom software stops being a luxury.
It becomes an option.
And once that happens, businesses may start questioning an assumption that has been around for decades:
Why should we change the way our company works to fit our software?
Maybe the better answer is to build software that fits the company.
