How to Validate an AI PoC

Validating an AI PoC means checking that it meets the success criteria you defined up front: the model works technically, delivers measurable value, and can be scaled into an MVP.

• Evaluate on a held‑out test set that reflects real usage.
• Compare against baselines (manual process or simpler automation).
• Collect stakeholder feedback from real demos.
• Document risks, limitations, and next‑step recommendations.

See the AI PoC Development pillar page for how validation feeds into MVP and production decisions.