Make the use case specific
An AI product can perform well in one setting and poorly in another. Assessment begins with intended users, tasks, operating conditions, and consequences. Without that context, a benchmark can be precise but irrelevant to the adoption decision.
Use more than one lens
Custoditas brings value, scalability, trustworthiness, and risk into one assessment environment. Those are related but different questions. A useful result may still be too resource-intensive, too difficult to review, or inappropriate for a sensitive workflow.
Exercise the boundaries
Authorized adversarial testing can reveal where assumptions break. Product teams should examine unusual inputs, constrained resources, attempted misuse, and ambiguous decisions. The aim is to understand conditions and limitations, rather than to imply that one test proves universal safety.
Turn results into a decision
An assessment should end with evidence, findings, and a clear account of remaining uncertainty. The organization can then decide whether to proceed, add controls, revise the product, or seek further testing. That decision should remain tied to the assessed context.
An original AI Laboratories editorial perspective. Portfolio descriptions express product positioning and intended applications, not independent validation or a customer case study.
Back to the full library
