Custom AI product vs. off-the-shelf SaaS
The classic build-vs-buy question, answered honestly — including when you should just buy.
In short
The honest comparison
| Custom AI ProductUs | Off-the-shelf AI SaaS | |
|---|---|---|
| Fit | Built around your exact workflow | Your workflow bends to the tool |
| Differentiation | A capability competitors can't buy | The same tool your competitors use |
| Data & ownership | Your data, your code, your infrastructure | Your data lives on their platform |
| Cost shape | One-time build, then it's yours | Recurring per-seat, indefinitely |
| Switching cost | You own it — no lock-in | Lock-in: data and workflow live there |
| Best for | Core, differentiating work no tool fits | Common, non-core needs a tool serves well |
When to choose which
Build custom when the workflow is core to your edge, no tool fits well, and ownership and differentiation matter.
Buy SaaS when the need is common and non-core, and a mature tool solves it for a predictable subscription.
The bottom line
Build vs. buy isn't ideological. For common, non-core problems, buy the tool — we'll point you to a good one. Build custom when the workflow is part of your competitive edge, when no tool fits without compromise, and when owning the system matters more than renting one.
Worth asking
Often, yes — and that can be the smart path. Use a tool to validate the need cheaply, then build custom once you know it's core and you've hit the tool's limits. The mistake is staying on a tool that no longer fits because switching feels hard; that's exactly the lock-in custom ownership avoids.
Want a straight answer for your situation?
Tell us what you're weighing. We'll give you an honest recommendation — even if it isn't to build with us.