Brihat Infotech

Platform Strategy

Build vs buy for enterprise AI: a decision framework

SaaS copilots, platform add-ons, or custom AI engineering? A practical framework for deciding where each belongs in your stack — with the lock-in math vendors skip.

Animesh Pathak5 Feb 20266 min read

Every software vendor now sells an AI add-on, and every board asks why you'd build what you can subscribe to. Sometimes they're right. The framework below is how we answer — including when the answer costs us the project.

Buy the commodity

Meeting summaries, email drafting, generic coding assistance: buy these. They're horizontal, the vendors have scale advantages you'll never match, and there's no differentiation in doing them yourself.

Build at the differentiator

Where AI touches the process that wins you customers — your underwriting, your pricing, your service recovery — building wins on three axes: the workflow fits exactly, the data stays inside your boundary, and the capability compounds as yours instead of appearing in your competitor's subscription next quarter.

Do the lock-in math

Per-seat AI add-ons price like SaaS always has: modestly at pilot, painfully at scale. Multiply the add-on price by your five-year headcount, then compare it to building on API costs that have fallen every year since 2023. The spreadsheet usually surprises the room.

The hybrid most enterprises land on

Buy horizontal productivity. Build the two or three vertical systems where AI touches your edge. Put an abstraction layer under both so no vendor — including your builder — holds you hostage. That last clause is how you know a builder is serious.

  • llm
  • ai strategy
  • build vs buy
Questions this raises

Buy for commodity horizontal tasks (drafting, meeting notes, generic support), build where AI touches differentiating processes or proprietary data. The deciding factors are data boundaries, process specificity, and unit economics at your scale.

Next step

Bring us the problem. We will bring the architecture.

A discovery call takes forty-five minutes. You leave with our read on the problem, the shape of the system we would propose, and a straight answer on whether we are the right team for it.

  • No sales deck
  • An engineer on the call, not an account manager
  • NDA before you share anything