Build vs Buy for Generative AI: A Decision Framework

The right AI approach is rarely purely build or buy. Most organisations combine foundation models, specialist products, automation platforms and custom workflow logic. The decision should follow the business requirement, not a preference for a particular tool.

Buy for standard capabilities

Adopt an existing product when the workflow is common, differentiation is low and vendor controls meet your needs. Buying can provide faster time to value, predictable support and less operational burden.

Build around unique context

Custom delivery makes sense when proprietary data, specialised decisions, unusual integrations or a distinct customer experience create advantage. Build only the layer that is truly specific to your organisation.

Calculate the complete cost

Compare licensing, usage, integration, change management, evaluation, support and switching costs. A low-cost prototype can become expensive if every task requires large models or manual correction.

Preserve optionality

Keep business logic and evaluation data separate from one model vendor where practical. A model gateway and consistent test suite make it easier to change providers as quality, price and requirements evolve.