For Small Businesses, Start With an Internal Tool
Lately, whenever I talk to people about custom software, I notice a common misconception: either you don't build a system at all, or you go all in on something complete, expensive, and heavy.
I actually think it's the other way around. For a lot of small businesses, the first step isn't a full system. It's one internal tool that fixes one specific problem.
Find the step you repeat the most
These days the first thing I ask, both myself and the person I'm talking to, is this: is there something you do every day that you know is purely mechanical, but you keep doing it anyway?
Think pulling orders from different channels into one spreadsheet, rolling up store requests for the kitchen, double-checking the staff schedule over and over, or sending report screenshots back and forth. None of this is necessarily complicated, but it wears people out and it's easy to get wrong.
This is exactly where AI plus custom development shines. The point isn't to look cutting-edge. It's to cut down on the manual copy-and-paste in your workflow.
Internal tools don't need to start big
The longer I work on MakanCloud, the clearer this gets: in a real business, something that actually runs beats something that's conceptually complete.
Restaurants deal with ordering, the central kitchen, delivery, scheduling, POS, QR ordering, and every one of those can go really deep. But if you zoom in on what's bugging a particular owner today, it might just be: "Which stores are running low today?" "How should tomorrow's deliveries be scheduled?" "Who still hasn't confirmed their order?"
Problems like these are a great fit for small tools:
- An admin page
- A spreadsheet that updates itself
- A scheduled reminder
- A data dashboard
Unblock the most painful spot first, then decide whether it's worth building out further.
What AI really lowers is the cost of trying
I'm not going to tell you AI makes software development free. Real projects still mean understanding the business, designing the workflow, handling edge cases, shipping, and maintaining it.
But AI really does lower the cost of trial and error. Building a full commercial system solo used to be a grind. Now I can work alongside AI agents like Claude, Codex, and Hermes to turn ideas into usable versions much faster, and to track down bugs, tweak the UI, and fill in automation scripts faster too.
That matters a lot for small businesses. You don't have to sink a big upfront investment into a massive system. You can validate first: does this tool actually save time, cut down on mistakes, and make things easier to manage?
How I decide whether it's worth building
I usually look at three questions:
- First, does this happen often?
- Second, is it currently held together by people manually copying, confirming, and tallying things up?
- Third, once it's a tool, can the owner or the team immediately skip a step?
If the answers to all three are pretty clear, it's worth building a lightweight version first.
I'm now working full-time on my own products and content, and I also take on custom software projects for restaurants and small businesses. I won't pitch AI as a cure-all, but I genuinely believe this: most businesses don't need another big, do-everything concept. What they need is a small tool that actually helps them make fewer mistakes, have fewer back-and-forths, and do less repetitive work.
If you run a store or a small team, drop a comment: which daily process would you most love to automate away? I'll keep breaking down more scenarios that work well for low-cost custom builds.