How to verify an AI-generated RFP answer

Break the answer into material claims

Identify the statements a buyer could rely on: a supported feature, a service level, a deployment option, a certification, a staffing commitment, or a measurable result. Review those statements separately rather than accepting the whole paragraph because it reads well.

Check what the source actually says

Open the cited document and read the surrounding context. Confirm the source supports the exact statement, applies to the right product or service, and is current. A quote about one deployment model may not support a claim about all deployments.

Treat specifics as high-attention items

Dates, percentages, certification names, response-time figures, and quantities are easy to repeat incorrectly. Confirm units, periods, exclusions, and scope. If evidence is missing, ask the owner to provide it or revise the claim instead of inventing a supporting citation.

Resolve conflicts rather than hiding them

If two documents disagree, decide which is authoritative and whether the draft must change. Do not simply choose the more favorable number. Update obsolete source material so the same contradiction does not appear in the next proposal.

Review the buyer's intended meaning

An answer can be supported by a source and still fail to answer the question. Check whether the buyer asks about an existing capability, an optional service, a future commitment, or a contract term. Make qualifications explicit and route commitments to their proper approvers.

Use software signals as inputs, not approval

SavixRFP shows supporting source quotes, confidence signals, conflicting evidence, and prompts for some unsupported specifics. These help direct attention. They do not guarantee complete coverage, validate an outdated source, or replace expert approval. Reverify after substantial edits.

Worked example: one paragraph can contain three different findings

Consider the fictional draft: 'We provide 24/7 support, complete onboarding in two weeks, and include a dedicated implementation lead.' Do not approve the paragraph as a unit. Compare each material statement with the evidence available for the proposed service.

No source found does not mean false. It means the available evidence did not substantiate the statement. Conversely, a real quote may support only part of a sentence. 'Support is available' does not substantiate '24/7 support with a fifteen-minute response time.'

Evaluate verification with a repeatable demo test

Use a small approved document set and deliberately include a clear fact, a contradictory number, a condition-limited claim, and a question the sources cannot answer. Inspect the output and the exact source quote for each. This gives you a more meaningful evaluation than asking whether the prose sounds convincing.

SavixRFP's Sources view presents supporting quotes and document references. Conflicts highlight evidence that disagrees with a claim. Missing support for a checkable number, date, or certification can prompt a request for a source. General unsupported prose is not necessarily displayed as a separate warning, so the reviewer should assess the full answer. Reverification is available after edits; it does not replace final approval.

• Ask the tool to show the document and quote supporting the answer—not only a confidence score.
• Change a material figure in the draft and rerun verification. Check whether the review signal changes.
• Test a partial claim: a feature exists, but only on a particular edition or deployment.
• Check what happens when no relevant evidence is found and who is expected to resolve the gap.

See evidence verification in SavixRFPPrepare a focused product evaluation