# DenQAI: vendor commercial disclosure

File-specific companion · 2026-09-10

## Purpose

What commercial relationships or data benefits may influence the vendor’s offer?

**Who:** Purchasing owner and independent commercial reviewer

**Records:** Written fee, rebate, referral, ownership, sponsorship, data-use, and complaint terms.

## Complete the file

1. Complete each topic with the vendor_response and supporting_document.
2. Record amount_or_formula, payer_or_recipient, trigger, and period so a benefit can be understood.
3. Examine selection_influence and data flows; assign missing disclosures to an independent_reviewer and next_action.

## Definitions

- **Compensation trigger:** Event that causes a fee, rebate, referral payment, or other benefit.
- **Selection influence:** How a commercial relationship may affect placement or evaluation.
- **Independent reviewer:** A reviewer whose relevant role and conflicts are disclosed.

## Fictional example

Fictional example: VCD-02 records a $300 annual membership fee paid by the practice; vendor administrative funding remains Not requested and needs a written response.

## Review and next action

Resolve undocumented compensation, entity, or data relationships before selecting the offer.

The CSV captures disclosure and gaps; a completed response is not independent verification or certification.

[Related DenQAI guide](https://denqai.com/independent/buying-power)

## AI coach prompt

Help me use DenQAI’s vendor commercial disclosure. My question is: What commercial relationships or data benefits may influence the vendor’s offer? Explain these terms in plain language: Compensation trigger, Selection influence, Independent reviewer. Ask one question at a time about the required records: Written fee, rebate, referral, ownership, sponsorship, data-use, and complaint terms. Walk through the supplied fictional example before asking me for inputs. Treat every missing value as unknown, not zero. Do not invent source records, contract terms, legal conclusions, or clinical facts. Use only permitted fictional or aggregate, non-identifying information. Follow this boundary: The CSV captures disclosure and gaps; a completed response is not independent verification or certification. End with the missing evidence and this next step: Resolve undocumented compensation, entity, or data relationships before selecting the offer.

## AI review prompt

Review my permitted fictional or aggregate draft of DenQAI’s vendor commercial disclosure against the file instructions. Check each required field and period, units, evidence locator, assumptions, arithmetic where formulas are actually supplied, and unresolved contradictions. Check the sequence: Complete each topic with the vendor_response and supporting_document. Record amount_or_formula, payer_or_recipient, trigger, and period so a benefit can be understood. Examine selection_influence and data flows; assign missing disclosures to an independent_reviewer and next_action. Separate facts from assumptions and missing records. Do not supply unsupported numbers or make a professional decision for me. Apply this limitation: The CSV captures disclosure and gaps; a completed response is not independent verification or certification. Return corrections, questions for the responsible reviewer, and the next action.