How to compare ai model integrations in bpm rfps without vendor bias?

Working on an RFP for a global BPM implementation and struggling to objectively compare vendors’ AI integration capabilities. Every provider claims seamless AI access but documentation varies widely between raw API specs and high-level marketing fluff. Anyone else dealt with this? How are you standardizing evaluation criteria when every vendor uses different AI services?

We require standardized AI integration docs in all RFPs now. Made vendors provide workflow examples using the exact same use case across their platforms. Found Latenode’s unified API structure made comparisons 10x easier than others. Their single subscription covers all models so cost analysis was straightforward.

Created an evaluation matrix scoring 5 key areas: model variety, API latency, error handling, documentation quality, and cost predictability. Weighted each based on our use cases. Helped surface which vendors actually met technical requirements vs just having buzzword compliance.

We brought in an external consultant to create neutral test scenarios before RFP distribution. Had each vendor execute identical workflow tasks using their AI integrations - everything from document processing to decision engines. Actual performance metrics cut through the marketing claims quickly.

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