Should you build custom AI or buy a tool?
Answer ten questions about differentiation, data, team, and budget. Get an honest build / buy / hybrid recommendation — the same logic we walk clients through, minus the meeting.
0 of 10 answered
Answer all 10 questions to get a build, buy, or hybrid recommendation with the reasoning spelled out. Nothing you enter leaves your browser.
How it works
Each answer adds weighted points toward three outcomes: build (custom development), buy (off-the-shelf tools), or hybrid (buy the platform, build the differentiating layer). The heaviest weights sit on the questions that dominate real decisions: whether the capability differentiates your business, how sensitive the data is, and whether anyone will own the system after launch.
A near-tie resolves to hybrid on purpose. In practice, most companies over-build commodity capabilities and over-buy differentiating ones — the hybrid pattern of renting the commodity layer and owning the differentiator is the most common right answer we see.
Frequently asked questions
When should a company build custom AI instead of buying?
Build when the capability differentiates you competitively, when off-the-shelf tools cannot handle your data or workflow, and when you have (or will hire) someone to own the system. If a vendor tool covers 80% of a non-differentiating need, buying is almost always faster and cheaper.
What is a hybrid build-vs-buy approach?
Buying the commodity layers (models, infrastructure, a vendor platform) while building the thin layer that encodes your competitive advantage — your workflow, your data, your customer experience. It is the most common recommendation for mid-size businesses.
How much does custom AI development cost compared to buying?
SaaS AI tools typically run $50–$500 per user or workflow per month. Custom builds commonly start around $25k–$75k plus ongoing operation. The comparison that matters is 3-year total cost against the value of owning the differentiator — which is what this advisor weighs.
Is this recommendation a substitute for an expert assessment?
It is a strong first read based on the factors that decide most cases. Edge cases — regulatory constraints, unusual data situations, vendor lock-in history — deserve a human look, which is what our free 30-minute assessment is for.
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