Build vs. Buy vs. Partner: A Framework for 2026

The build-vs-buy decision for AI has shifted. Building in-house made sense when models were bespoke and data was proprietary. Today, the differentiator isn't the model — it's how well you integrate, govern, and iterate on real workflows.

Buy when the problem is well-defined and commoditized: chatbots with FAQ retrieval, document classification, basic summarization. Partner when the workflow spans departments, requires human-in-the-loop design, or connects to legacy systems that no off-the-shelf product touches.

Build only when the capability is core to your competitive advantage and you have the team to maintain it post-launch. Most companies overestimate their appetite for ongoing ML ops.