Comparison Guide
Build Custom AI or Buy a SaaS Tool?
Choosing between building a custom AI solution and buying an off-the-shelf SaaS platform is one of the most consequential technology decisions a growing business makes. This guide gives you a framework for making the right call for your specific situation.
Our Verdict
The Decision Framework
Buy SaaS if your need is generic and speed matters most. Build custom when your competitive advantage depends on the feature, your data is sensitive, or long-term SaaS costs exceed the build cost.
Side by Side
Full Comparison
| Factor | Custom Build | SaaS Platform |
|---|---|---|
| Time to Deploy | 8–20 weeks | Days to weeks |
| Upfront Cost | €5,000–€50,000+ | Low (subscription model) |
| Ongoing Cost | Maintenance + infrastructure | Subscription (scales with usage) |
| Customisation | Unlimited — built to your spec | Limited to vendor's roadmap |
| Data Control | Full — stays on your infrastructure | Vendor controls your data |
| Competitive Advantage | High — unique to your business | Low — same tool as competitors |
| Vendor Dependency | None | High — price changes, shutdowns |
| Integration Depth | Deep — built to your systems | Surface-level via API/Zapier |
| 5-Year TCO (typical) | Lower at scale | Often higher at scale (per-seat/per-action pricing) |
FAQ
Common Questions
When does custom AI development become cheaper than SaaS?
For most businesses, custom development becomes more cost-effective when monthly SaaS spend exceeds €2,000–€5,000, or when you have 3+ SaaS tools doing what one custom system could. At that scale, the build cost is recovered in 12–24 months and ongoing costs are infrastructure only.
Can we start with SaaS and migrate to custom later?
Yes — and this is often the right approach. Start with SaaS to validate the use case quickly. Once you understand exactly what you need, build a custom solution tailored precisely to your workflow. We help with both the validation phase and the custom build.
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