01The wrong question and the right one
The wrong question is "should we build or buy AI?". The right question is "for which capability, on what timeline, with which competitive stakes?". Different layers of the stack deserve different answers.
AI Business · June 29, 2025
Build vs Buy AI: A Decision Matrix for CTOs
A pragmatic framework for deciding whether to build, buy, or buy-and-customize an AI capability — with the hidden costs of each path.
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Binate AI
June 29, 2025
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02The four-axis decision
- Strategic differentiation — does this capability define your product?
- Time-to-value — when do you need it live?
- Total cost of ownership — vendor + integration + ops vs build + maintain
- Talent and capacity — do you have the right team available?
03Three honest scenarios
Right when the capability is core to your product, you have unique data, and you can afford a 6–12 month build-out. Example: the ranking model behind your marketplace.
04Hidden costs of buying
05Hidden costs of building
06The decision matrix
Quick Quiz
You need a transcription service. Vendor pricing is $0.006 per minute. Your volume is 800 hours per month. Should you build?
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Schedule a working sessionThe takeaway
Decide layer by layer. Buy the commodity, build the differentiator, customize the middle. Always math the TCO and budget for the option you did not pick.
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