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Technical guide · For brand and agency teams

Generative media, production grade.

A practical guide to producing thousands of on-brand AI assets without multiplying your team, your risk or your production costs.

Content demand is growing far faster than headcount: 71 per cent of marketers expect it to grow more than fivefold by 2027.1 Written for marketing, ecommerce, creative production and innovation leaders, and for the transformation teams and advisers helping them operationalise generative media.

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Drawn from production work for Sun Life, Inchcape and Urban Revivo

  • 5,565personalised videos, legally approved, across four regulated markets
  • 180ad variants across six markets in one week
  • 10 minfor daily TikTok Shop content that used to take two hours
AI campaign look: peach beer bottle in a wet-splash treatment AI campaign look: the same bottle frozen inside a block of ice AI campaign look: the same bottle shot underwater
Platform output · one product, one workflow, three campaign looks

Inside the guide

Seventeen pages and seven chapters, with the diagrams, checklists and numbers you need to brief your own team. Pick a page to preview it.

Guide page 8: a live production workflow on the Instant Studio platform, then the same anatomy idealised as six nodes: inputs, brand rules, style template, AI creative generator, model calls and review. A proof panel reads: one car model, 180 ad variants, six markets, one week.

Contents

  1. 01The production gapWhy content demand outruns headcount, and where most pilots stall.p.3
  2. 02Model selectionNo single engine wins every job. How to route each task to the right one.p.5
  3. 03Prompts don't scaleThe workflow that turns one brief into a repeatable production line.p.7
  4. 04Brand control at generation timeEncoding brand and claims rules before the model runs, so review shrinks.p.9
  5. 05Trust, data and complianceData residency, talent consent and the record legal and IT will ask for.p.11
  6. 06The economicsCost per asset against traditional production, and how to prove it.p.13
  7. 07The 90-day pilotScope, encode, produce, decide: a pilot that settles the question with numbers.p.14
  8. +Field results, notes and sourcesFour campaigns, four numbers, and where every figure comes from.p.15

What you'll be able to do

The guide sets out the operating model end to end. By the last page you will know how to:

  • Choose the right model for each production task

    No single engine wins every job. Route each task to the best model for it, so the workflow never depends on one supplier.

  • Turn one approved brief into hundreds of variants

    A worked example of the production line that takes a single brief to repeatable output across formats and markets.

  • Encode brand and compliance rules before generation

    Put the rules upstream of the model instead of in review, and widen who on your team can safely make assets.

  • Keep the record legal and IT will ask for

    Data residency, talent consent and the minimum record for every asset, plus the approval pattern that got 5,565 personalised videos signed off at a regulated insurer.

  • Build a 90-day pilot with measurable economics

    Model cost per asset against traditional production, agree the three numbers a pilot must measure, and start from a checklist.

Who this is for

Teams at brands and agencies moving from AI experiments to repeatable production.

  • Ecommerce leaders

    Create channel-ready content across products, markets and formats.

  • Marketing and brand leaders

    Increase output while preserving brand consistency.

  • Creative and production leaders

    Replace manual adaptation with repeatable workflows.

  • Transformation and enablement teams

    Establish governance, integrate AI into existing workflows and build the business case for adoption.

Already planning an AI production pilot?

If one of your next three campaigns is high-volume, repetitive and multi-market, we will scope a 90-day pilot with you on one call.

Talk to our team