An AI ad is ready for approval only after the product, message and final file have been checked. This workflow helps the people responsible for your brand and production make those decisions.
Start with what must be accurate
Gather the original product photographs, approved description and packaging. A polished video may still show the wrong size, an invented ingredient or an unsuitable use. Compare it with the specific SKU, even when variants look almost identical.
Decide which errors stop delivery. Changed packaging text, the wrong colour or an exaggerated demonstration need correction. A different crop or edit may instead be a preference to prioritise. Distinguishing the two makes feedback more useful.
Review the video in four passes
- Product and claims: Compare shape, logo, colour, size and every visible or spoken claim with approved information.
- Image and movement: Watch for changing hands, disappearing objects and implausible movement in liquids or shadows.
- Brand and clarity: Assess lighting, tone and presentation, and whether the viewer can understand the message.
- Publication: Check audio, captions, cropping, destination and relevant disclosure and advertising requirements.
Watch at normal speed before inspecting problem areas individually. Review the export too: it is what the audience sees, and errors can appear after generation. A correct project file does not establish that the delivered file is correct.
Assign decisions to the right person
A producer can check visual errors but should not approve a claim about product effectiveness alone. Ask the product owner to confirm facts and the brand owner to assess presentation. Collect their feedback through one contact so the producer does not have to choose between conflicting instructions.
Taste has a place in approval. An ad must represent the company even when it will later be tested. Campaign results do not make an inaccurate claim acceptable, and accuracy alone does not make an ad effective.
