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AI Strategy30 September 2026·6 min read

Build, buy or partner: a decision framework for AI capabilities

Most AI decisions are a mix of all three. How to decide which parts to own, which to buy and which to bring in help for.

'Build or buy?' is the wrong shape for the question. Almost every serious AI system has parts that should be bought, parts that should be built and parts where a partner shortens the path. The skill is in deciding at the component level.

Three questions per component

  • Does it differentiate us? If the capability is part of what customers choose you for, own it. If every competitor can buy the same thing, don't spend effort rebuilding it.
  • Does it depend on our proprietary data or process? The more it does, the more it should be built or heavily configured by you.
  • How fast does it change? Fast-moving layers such as models and tooling are better rented, with an exit plan, than frozen into your own code.

Where partners fit

Use a partner when you need a capability once, or for a limited period, and the knowledge should end up with you: the first production system, an evaluation setup, a security review. Agree up front what you will own at handover: code, documentation, test sets and runbooks.

Whatever you buy, keep the data, the test set and the business logic in a form you can move. That is what keeps the option to change vendors real.

Related capability

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