The build-versus-buy decision has been relatively stable for most of the past decade. Enterprise SaaS products were expensive to build from scratch, cheaper to license, and faster to deploy. The economics favoured buying.
That calculation is shifting. AI has made certain categories of custom development faster and cheaper than they were two years ago. Not everything, but enough to change the question at the renewal conversation. For organisations spending €200,000 to €500,000 a year on a single SaaS product, it is worth asking whether the assumptions behind the original buy decision still hold.
This is not an argument against buying software. It is an argument for asking better questions before signing.
Three things have shifted in the last two years. First, AI tooling has reduced the time required for certain development tasks, particularly the kind of integration and transformation logic that makes up the connective tissue of a data product. Second, cloud infrastructure costs have continued to fall. Third, the availability of engineers who can build credibly in this environment has improved.
The net effect is that the cost of building a credible alternative to some SaaS products has fallen meaningfully. Not to zero. Not in every category. But enough that the comparison is worth making.
The shift is most pronounced in tools where the core value is workflow automation, data movement, or identity resolution rather than deep R&D or a proprietary dataset. Customer data platforms, reverse ETL tools, certain analytics layers, and marketing activation pipelines are the clearest examples.
In these categories, the SaaS product charges a premium for convenience and market leadership in a design era that is already changing. The underlying logic, what the product actually does, is increasingly replicable.
Before signing the next renewal, work through these questions:
The answers will not always favour building. But they will produce a better renewal negotiation regardless.
A useful framework for the build-versus-buy decision has three variables: complexity, criticality, and differentiation.
Complexity asks: how hard is this to build and maintain? High complexity generally favours buying. Criticality asks: how central is this to the business? High criticality calls for more ownership, not less, since the teams that regret their SaaS decisions most are those who built core workflows on platforms they cannot modify or exit. Differentiation asks: does how we do this matter competitively? If the way you handle customer data, attribution, or pipeline logic is a source of competitive advantage, owning it makes more sense than licensing a version of it.
Renewals are a forcing function. The teams positioned best are those who start the evaluation before the renewal window opens, not inside it. If you want to think through the calculation for a specific tool, book a licence assessment conversation.