Custom AI or off-the-shelf: how to decide
Generic tools solve generic problems. An honest guide to knowing when each path pays off.
There is a huge offer of ready-made AI tools today, and many are good. So why would anyone hire a tailor-made solution? The honest answer: not everyone should. This guide helps you decide with clarity.
When off-the-shelf wins
If your problem is shared by thousands of companies — scheduling meetings, transcribing calls, drafting emails — an off-the-shelf tool tends to be cheaper and faster to adopt. It makes no sense to build from scratch what the market already solves well.
When custom wins
The game changes when the problem is your process, with your rules, your systems and your data. Generic tools force your business into their mold. A tailor-made solution does the opposite: it grows out of your real workflow and integrates with what you already use.
Clear signs custom pays off: you keep side spreadsheets to cover what the tool doesn't do; your team retypes the same information into three systems; your process exceptions live in loose emails and messages; or per-seat license costs have grown enough to rival a dedicated project.
The rule that sums it up
If the process is a commodity, rent it. If the process is your competitive edge, build it.
In practice, most of our projects combine both: market tools for what is commodity, and a tailor-made layer connecting everything to your process. The diagnosis exists precisely to draw that line — and we recommend the off-the-shelf tool whenever it is the better answer, even when that means a smaller project for us.