[Italian translation would continue here]
Domande frequenti
Seven weighted rows: an evaluation suite run on your own cases, how the product handles exceptions, a per-decision log, handover and exit terms, fit with the systems you already run, security and data protection, and the commercial model. The first four decide whether the product is still trusted a year after go-live; most checklists weight features instead.
Agree the weights before the first demo, then score every row from 0 to 5 with fixed anchors: 0 not offered, 1 claimed without evidence, 3 shown working on the vendor's data, 5 shown working on your data and written into the contract. Multiply by the weights and add up, but treat any 0 or 1 on exceptions or exit as a risk no total offsets.
A vendor licenses you a product: a platform, an AI feature inside existing software, or a model API. An implementation partner is a firm that maps, builds and hands over a workflow for you. They need different checklists; the partner questions are in SUPALABS' guide on how to choose an AI implementation partner.
Because a vendor's benchmark measures the cases the vendor chose. Your exceptions are what decide whether the product survives in production. Give every shortlisted vendor the same sample of your past cases with the answers held back, and keep that sample: it becomes the evaluation suite you rerun whenever the vendor changes the underlying model.
Everything that scored 5 only because the vendor promised it: the right to rerun your evaluation set, notice before the underlying model changes, export of configuration, prompts, labelled cases and decision logs, retention of logs for as long as you need them, and deletion or return of your personal data at the end of the service, which GDPR Article 28 requires of any processor.
Innovation10 min2025-01-22
