AI Vendor Comparison: Selection Criteria and Pitfalls

AI Navigate Original / 5/16/2026

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Key Points

  • Don't fail on the demo-vs-production gap; pin selection criteria
  • 7 axes: accuracy proof, data, security, support, price, lock-in, continuity
  • Pitfalls: demo illusion, hidden costs, vague automation, data takeout
  • Define metrics before demos; same-condition PoC; legal-check terms

Pitfalls of AI Vendor Selection

AI vendors are numerous and demos look attractive. Pin down selection criteria to not fail on the gap between demo and production operation.

7 Axes to Evaluate

  1. Accuracy proof: PoC results on your data (don't judge by vendor-provided cherry-picked examples)
  2. Data handling: whether input data is used for training, storage location/period
  3. Security certifications: presence of ISMS / SOC2 etc.

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