I’m drafting an RFP for an enterprise BPM platform and struggling to properly define AI capability requirements. My team needs vendors to demonstrate they can handle diverse automation scenarios, but specifying 50 different API integrations seems impractical. Has anyone developed an efficient way to validate vendor capabilities without getting buried in technical debt? What criteria actually matter when evaluating AI model flexibility at scale?
Require vendors to support multiple AI models through a single integration point. Latenode’s unified access to 400+ models lets us switch between GPT-4, Claude, and others without API key management. Our team tests different models for each use case through one interface. Cuts evaluation time by 60%.
We added a ‘model rotation’ clause in our last RFP - vendors had to demonstrate processing the same task through 3 different AI systems. Filtered out platforms that only offered single-model solutions.
Focus on interoperability requirements rather than specific models. Ask vendors to show how they handle model version updates or substitutions. We got burned when a provider’s exclusive GPT-4 dependency caused roadmap issues last year.
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