Build, buy, or wait: a simple way to decide your AI approach

Once a business decides AI is worth pursuing, the next question is how to get it: build something custom, buy an existing tool, or wait until the case is clearer. Each is right in different situations, and choosing wrong is expensive in either direction.

The decision is less about the technology and more about how core the problem is to your business.

If the problem you are solving looks much like everyone else's — transcription, summarisation, a standard support assistant — someone has almost certainly built a better version than you will, faster and cheaper. Buying gets you most of the value with little of the risk.

Reserve your build budget for the problems that are genuinely yours.

Custom builds earn their cost when the workflow is specific to how you operate and doing it better than competitors is a genuine edge. That is where off-the-shelf tools fall short and bespoke work pays for itself.

If the capability is core to your business and tightly tied to your own data, building is usually the right call.

Sometimes the honest answer is not yet. If the use case is unproven, the data is not ready, or the technology is moving too fast to commit, a small, cheap experiment beats a large bet.

Waiting is a decision too — just make it deliberately, with a clear trigger for when to revisit, rather than by default.