Visual Asset Rights and Usage Audit (QA)

Visual Asset Rights and Usage Audit (QA)

1. 01

   Catalog every AI-generated visual asset by client and campaign

   List each image, vector, or mockup produced for the client, noting the generating tool, prompt, and date. This inventory becomes the baseline for all subsequent rights and usage checks.

2. 02

   Verify the training data and licensing terms of each generating service

   Review the vendor's terms to confirm whether outputs are cleared for commercial use and whether the model was trained on copyrighted material. For example, Adobe Firefly is trained on licensed content, while other tools may have ambiguous provenance.

3. 03

   Confirm the client's contractual rights to use the generated assets

   Check the client agreement for clauses on AI-generated content, indemnification, and ownership. If the contract is silent, flag the gap and seek written confirmation from the client before any asset goes live.

4. 04

   Assess the risk of IP infringement or brand confusion for each asset

   Compare the output against existing trademarks, logos, and copyrighted works. If an asset closely resembles a protected design, either modify it or remove it from the deliverable set.

5. 05

   Document the provenance and usage rights in a client-facing register

   Create a simple spreadsheet or document that lists each asset, its source tool, the license type, and any restrictions. Share this with the client to maintain transparency and protect both parties.

6. 06

   Establish a review cadence for new AI-generated assets

   Set a recurring check, such as weekly or per campaign, to repeat this audit for any newly generated visuals. This prevents rights issues from accumulating unnoticed.