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

Choosing the right AI vendor can make or break a transformation project. In this pilot English guide, we walk through the core criteria independent consultants use to evaluate AI vendors: proven domain experience, reference architecture, data handling maturity, post-deployment support, and commercial flexibility.

This is a vendor-neutral evaluation framework. It focuses on how to structure the decision rather than promoting any particular provider. The original Turkish article expands each criterion with examples and a checklist; this English edition is a companion pilot to validate our multilingual knowledge hub infrastructure.

Key sections covered in the full version: (1) scoping your use case, (2) short-listing vendors, (3) requesting proof-of-concept, (4) evaluating commercial terms, (5) operational readiness and handover.

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