Use AI to draft buyer-reviewed proof-of-concept success criteria

Begin with the decision the buyer needs to make

A demonstration can show an interesting feature without proving that it addresses the buyer’s actual constraint. Before a proof of concept, collect approved discovery notes and the buyer’s stated evaluation questions. Ask AI to separate desired outcomes, mandatory requirements and seller suggestions. Do not treat an internal sales objective as an agreed buyer success criterion.

Choose a narrow evaluation scope that your team can support. Identify who can approve the criteria and who will review the evidence. Keep security, procurement and commercial decisions with their respective owners. A successful technical exercise does not automatically authorize a purchase or resolve every condition in the buying process.

Write criteria that a reviewer can inspect

Use a table with question, proposed criterion, test input, observation method, evidence artifact, owner and buyer approval status. Any target must come from an approved source or remain a proposal for discussion. Avoid asking AI to supply impressive benchmark numbers or invent a customer’s acceptable error rate.

For a fictional document workflow, the buyer might want a reviewer to trace every extracted field to a supplied source page. The evaluation can preserve the sample documents, extracted rows and reviewer corrections. A visually complete summary is insufficient if the sources cannot be checked. Test missing information and conflicting documents as well as the easiest example so the criterion captures the problem the buyer actually described.

Keep evaluation results separate from sales conclusions

After the buyer reviews the plan, freeze the approved criteria version for the exercise. Capture observed result, evidence link, exceptions and reviewer decision for each row. If scope changes, record a new version and explain which comparisons are no longer equivalent. Do not quietly replace an unmet criterion with one the product can satisfy.

The account owner should prepare an outcome discussion that preserves passed, failed and inconclusive findings. Ask what additional evidence is required and who owns the next decision. A proof of concept is a bounded evaluation under stated conditions; it is not evidence of universal accuracy, production readiness or guaranteed business value. Use fictional material while testing the review format before introducing approved buyer data.

Review checklist

• Identify the buyer’s actual decision and reviewer.
• Label seller-proposed criteria until accepted.
• Specify observable evidence rather than invented targets.
• Preserve failed and inconclusive results.
• Version any changes to the evaluation basis.

Source context and limits

NIST discusses evaluation and unsupported generated output. The proof-of-concept table is our proposed sales procedure, not a NIST benchmark, product certification or report of hands-on testing.