How to Select an AI Vendor for Your Project (2026 Guide)

Picking the right AI vendor can quietly decide whether a transformation project succeeds or stalls. This is a pilot English guide, and it walks through the handful of things independent consultants actually look at when they size up a vendor: real domain experience, a reference architecture that holds up, how seriously they treat your data, what support looks like after go-live, and how much room they leave you on commercial terms.

The framework here is vendor-neutral by design. It is about how to structure the decision, not about steering you toward any particular provider. The original Turkish article goes deeper on each criterion with worked examples and a checklist; this English edition is a companion pilot we are running to test our multilingual knowledge hub.

The full version covers five stages: scoping your use case, short-listing vendors, asking for a proof-of-concept, reviewing the commercial terms, and getting operational readiness and handover right.

For the complete Turkish analysis, with all the detail, the examples, and the full decision checklist, switch the language to Turkish using the flag in the header.