AI image generation makes it possible to produce realistic visual content — product still life, settings, ad campaign images — in much less time than a traditional photoshoot, without giving up visual quality.

This isn’t about generic images generated at random: a credible result requires carefully crafted prompts, visual references consistent with the brand, and careful review before publishing. Without this method, the risk is ending up with content that reads as unpolished “AI-generated” material.

The work is built on three levels, from analyzing the visual need to final review.

Visual Need Analysis

What the image needs to communicate: a product in still life, a usage setting, a visual for an ad campaign. Each need calls for a different approach.

Custom Prompts and References

Built to faithfully reflect the real product and the brand’s style, not generated from a repeated generic prompt for every image.

Generation, Selection and Review

Multiple variants generated, the best ones selected and polished before publishing. The engagement connects with AI marketing activities, of which image generation is often a component.

Among our 20 cities, Bergamo is where we most often apply AI image generation to concrete projects. For mPackting we generate lifestyle images with real products for communication campaigns. For iSchool we generated images for the institute’s advertising and communication campaign. For Minelli Group we generate product catalog images staged as still life, for several business units within the group.

Three different projects by industry and goal — B2B communication, an ad campaign, a multi-business-unit product catalog — confirming that AI image generation only works when it’s designed around the specific visual need, not a generic prompt.

The main phases of our method:

• Visual need analysis: what the image needs to communicate.
• References and prompts: built specifically for the brand and the product.
• Generation and selection: multiple variants, choosing the best ones.
• Review and polish: quality control before publishing.
• Consistency across images, for campaigns or large catalogs.

The work doesn’t end at generation: every image gets reviewed before being used in a campaign or published in a catalog.

The cost depends on the number of images and the complexity of the settings required: a limited set for a campaign requires different investment than a large catalog with dozens of variants. In general, costs stay lower than a traditional photoshoot with the same settings.

In terms of timing, a limited set of images generally takes a few days; large catalogs with multiple variants can take a few weeks, between generation, selection and polishing.

1. What does an AI image generation service include?

Visual need analysis, building custom prompts and references, generating multiple variants, selection and review before publishing.

2. Are AI-generated images recognizable as such?

With a careful method, the result is credible and consistent with the brand; without method, the risk of a recognizable, generic result is real.

3. Is it worth it compared to a traditional photoshoot?

It depends on the case: for large catalogs or settings that are hard to realize physically, AI generation is often faster and cheaper.

4. Do I need to provide real photos of the product?

Often yes, as a reference to ensure the product stays faithful in the generated image, especially for catalogs.

5. Do you only work with local companies, or remotely too?

AI image generation isn’t about replacing visual quality: it’s about producing it faster, with method. Tell us about your project and we’ll help you figure out where to start.