Weeks one and two are range definition and reference capture. We take your current quoting catalog — the styles you actually sell rather than the ones in the vendor book — and reduce it to the working range, typically sixty to a hundred and forty blanks across the polo, woven, knit, fleece, outerwear, apron, scrub, headwear and bottoms tiers. Reference comes from your existing samples, vendor spec sheets and whatever you already have on the shelf. This is where the placement sheet gets written, and where the thread and ink code libraries are fixed so the same navy is the same navy in every subsequent program.
Weeks three and four build the library itself: every blank, on-form, every stocked colorway, fixed camera position, fixed light, front and back, plus the macro position that decoration will later occupy. Nothing is decorated yet. The output is a neutral, reproducible, permanently reusable asset base — and the decision about whether people appear in it at all is a real one, which we treat the way we treat casting generally in AI fashion models versus real models: campaign and culture frames should carry real, cast, credited people, while the program proof layer is garment-led and does not need them.
Weeks five and six run the first two live program passes end to end so the workflow is proven against real bids rather than a demo. After that, each new program is a mark pass: you send the client's artwork, placement spec, thread and ink codes, method and selected SKUs, and the presentation set comes back in 48 to 72 hours — digital strike-offs, cross-role lineup, method comparison pair, size-range placement proof, in-environment frames, compliance reads where the tier requires them, and the marketplace and company-store crop sets. The fabric and construction fidelity that layer depends on is the same discipline we run for heritage and workwear substrates in workwear and heritage Americana campaign imagery, and the in-motion and performance tier — team kit, athletic staff, running and field programs — draws on the register we describe in activewear campaign imagery.
Two adjacent tiers deserve a note because they are routinely forgotten and routinely complained about. Maternity and postpartum sizing inside a healthcare or hospitality program is a real allotment line — FIGS and Jaanuu both carry it — and it needs its own frames for exactly the reasons we set out in maternity apparel campaign photography, because a maternity scrub top photographed on a straight block tells an employee nothing. And the consistency problem across a multi-concept group is a brand-system problem before it is a photography problem, which is the same argument we made producing at volume for Chobani, where one identity had to survive dozens of packages, formats and contexts without drifting. The comparative economics against a traditional studio path are broken down in AI photoshoot versus studio cost, and the broader case for running production this way sits in our guide to choosing an AI product photography agency and across our apparel ad creative work.