Build vs. buy, compared plainly
Not "which is better" — building and buying solve different problems well. This is what actually differs in practice, side by side.
| What you're comparing | Build in-house | Buy a vendor tool |
|---|---|---|
| Time to first working version | Weeks to a few months, depending on scope | Days to a few weeks |
| Who owns failures | Your team — full control, full responsibility | Shared with the vendor — escalation path, but less control |
| Fit to your exact workflow | Can match your data and process exactly | Matches the vendor's common-case assumptions |
| Ongoing maintenance | Falls on your team indefinitely | Falls on the vendor, for as long as you're a customer |
| Cost shape | Upfront engineering time, low marginal cost after | Lower upfront cost, recurring per-seat/per-call cost |
| Exit cost if it doesn't work | You keep whatever you built | Depends entirely on the export terms you negotiated |
When each direction tends to make sense
Buy when the use case is common enough that a vendor has already hardened it against edge cases you haven't thought of yet — document parsing, transcription, standard chat support.
Build when the use case is specific enough to your own data or process that no vendor is optimizing for it, and the in-house cost of getting it wrong is lower than the cost of a bad vendor fit.
Either way, run the exit-cost test before deciding: if this stopped working tomorrow, what would it actually take to walk away? The honest answer usually points to the right choice.
This comparison offers general information and is not a recommendation for any specific vendor, product, or engineering approach.