Capability 04 · Production at campaign pace
Ten thousand variants. One brand that still looks like itself.
AI Creative Solutions is the production system behind modern campaigns: one brief becomes every size, language and audience variant a channel needs, generated inside brand rules, checked automatically and signed off by a person before anything runs.
Approve: the contrast issue is fixed and six variants are approved by the creative lead; the three H3 variants are held until the claim is substantiated.
Illustrative. No variant is published until a person has approved it.
What we build · 6 parts
Volume without drift, speed without risk
Generation is constrained by your components, your approved claims and your brand rules, so scale does not become a brand problem or a legal one.
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Creative variant engine
Modular templates plus generative copy and imagery that turn one approved concept into every size, language and audience variant a channel calls for.
One brief · many variants -
Dynamic creative optimisation
Ads assembled per audience and context from a governed set of components, with the combinations that work fed back into the next brief.
DCO · assembly -
Product feed creative
Catalogue-driven creative for commerce: feed hygiene, price and stock accuracy, and templates that stay correct as the catalogue changes.
Catalogue · feeds -
On-brand generation & guardrails
Reference libraries and brand-tuned models, with automated checks for logo use, colour, type, safe areas, banned claims and required legal lines.
Checked before it ships -
Localisation & adaptation
Transcreation rather than translation, reviewed in market, with script, right-to-left and regional advertising rules handled in the template.
Markets · transcreation -
Rights, provenance & disclosure
Model licensing reviewed, likeness and music rights recorded, Content Credentials (C2PA) attached where supported, and AI disclosure applied where regulation or platform policy requires it.
Licensed · labelled
Where it sits in the engine
Generated at scale, approved by a person.
The route one creative variant takes from brief to live ad. The highlighted step is where generation happens.
- 01 · Brief Structured brief Audience, message, offer and mandatory lines as fields, not prose.
- 02 · Generate Variants Copy and imagery drafted inside your templates and brand tokens. Creative AI
- 03 · Check Brand & claims Automated checks for tokens, contrast, legal lines and unapproved claims.
- 04 · Approve Creative lead A person approves every variant that will be published.
- 05 · Learn Creative results Performance by element feeds the next brief.
How it runs · 4 stages
Set the rules, then let the pipeline run
The first two weeks decide what the system may and may not produce. Everything after that is volume. Timings are typical, not promised.
Stage 01 of 4Wk 01–02
Frame
Formats, markets, channels and volumes agreed. Brand rules, approved claims and banned territory written as machine-checkable constraints.
Produces
- Format matrix
- Brand rule set
- Claim library
Stage 02 of 4Wk 02–06
Assemble
Component templates built, reference libraries prepared, models selected per task and compared for quality, likeness fidelity, cost and licence terms.
Produces
- Template system
- Model comparison
- Reference library
Stage 03 of 4Wk 05–09
Produce
The first campaign produced end to end, with automated checks, a human review queue and a named approver before release.
Produces
- Production run
- QA checks
- Approval workflow
Stage 04 of 4Wk 09–10
Measure
Performance by component and variant fed back, so the next brief starts from what is already known to work.
Produces
- Component performance
- Learning library
- Next-cycle brief
Variant review queue · what you will see
Every variant is checked twice. By the rules, then by a person.
The queue a generative pipeline feeds: what the model produced, what the brand check flagged and what a named reviewer approved.
Generated 1
Hero, 1:1 · headline v7
Model B · prompt 3.2
Waiting for brand check
Brand check 2
Story, 9:16 · headline v2
Logo clear-space 6 px short
Auto-fix proposed
Banner, 728 × 90
Claim “lowest price” flagged
Needs legal wording
Approved 1
Hero, 4:5 · headline v3
All 9 brand rules pass
Approved by: brand lead
Rejected 1
Hero, 1:1 · headline v5
Hands rendered incorrectly
Rejected by: designer
What you own
Pipelines, prompts and brand checks. Yours to run.
The generation pipeline, the brand rules it checks against and the approval log, set up in your accounts.
| # | Deliverable | Format |
|---|---|---|
| 01 | Creative production pipeline | Workflow · code |
| 02 | Modular template & component system | Figma · templates |
| 03 | Brand rule set & automated checks | Config · tests |
| 04 | Approved claim & legal line library | Sheet · CMS |
| 05 | Variant sets by format, market and audience | Assets · DAM |
| 06 | Rights, licence & provenance register | Sheet |
| 07 | Component performance report | Dashboard |
What changes
More variants worth testing. None off-brand.
Creative AI succeeds when variant output rises, brand checks catch what they should and every live asset had a human approve it. They are aims, not guarantees.
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01
Production stops being the bottleneck
Campaign volume is set by the media plan, not by how many adaptations a studio can finish this week.
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02
On brand at any volume
Every variant is checked against the same rules before release, so scale does not erode the identity.
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03
Defensible by default
Licences, rights, disclosure and approvals recorded per asset, so the question "where did this come from" has an answer.
Approved variants per week, pipeline vs manual. Shape only. Variants counted only once a person has approved them; the review load is part of the design, not an afterthought.
Technologies we work with
Models chosen per format. Brand rules in code.
Model providers, hosting and design tools we use for generative creative, with your keys and accounts. Named as technologies we work with, not partnerships; model providers run inside an approval step, never around it.
- Anthropic
- Google Gemini
- Replicate
- Hugging Face
- Modal
- Figma
- Shopify
- Contentful
- Cloudflare
- Python
- n8n
- OpenAI
Frameworks we build to
Labelled, logged and approved. Before anything goes live.
Frameworks every generative workflow is designed against. Frameworks we build to, not certifications we hold.
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EU AI Act — Artificial Intelligence Act (EU) 2024/1689
Artificial Intelligence Act (EU) 2024/1689
AI-generated content labelled where required, targeting and scoring use cases classified by risk, and a person able to override every automated decision.
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NIST AI RMF 1.0 — AI Risk Management Framework
AI Risk Management Framework
Each model that scores, targets or writes is inventoried with an owner, a measured error rate and a threshold that stops it.
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ISO/IEC 42001:2023 — Artificial intelligence management systems
Artificial intelligence management systems
Generative tools governed as a managed AI system: approved uses, prompt and model versions logged, and periodic review of what they produced.
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WCAG 2.2 AA — Web Content Accessibility Guidelines
Web Content Accessibility Guidelines
Emails, landing pages and in-app messages checked for contrast, alt text, reading order and keyboard use before they are approved for send.
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GDPR — General Data Protection Regulation (EU) 2016/679
General Data Protection Regulation (EU) 2016/679
Consent captured per purpose and channel, tracking tags fired only after consent (Consent Mode v2 where Google is used), and erasure requests reaching every connected tool.
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DPDP Act 2023 — Digital Personal Data Protection Act, 2023
Digital Personal Data Protection Act, 2023
Notices and consent records for India-based customers, with withdrawal honoured in every journey and channel within the same working day.
Services & packages
Every size, every market, still unmistakably yours.
We build the production system that turns one approved idea into the volume of creative modern media consumes: variants, dynamic assembly and feed-driven work, generated inside your brand rules, checked automatically and released by a named person.
- Categories
- 05
- Services
- 14
- Packages
- 04
How to buy
- 01Pick services. Enquire about one, or add several to a brief.
- 02Choose how to engage. A sprint, a fixed project or an ongoing team.
- 03Send the brief. We reply within one working day.
Start a project
Ways to engage. Same team, same standard.
Three ways in, from a two-minute question to a formal RFQ. Each is read in full by the lead for the work, and anything already in your brief goes with it.
Or book a thirty-minute call-
01
For a first conversation, a press request, or anything that does not need a scope yet.
You get A reply from a lead, not a sales queue
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02Most useful
Goals, audiences, a budget band and timing. Enough for us to come back with a shape, not only questions.
You get Options and a first scope after one call
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03
Your pack, your deadlines, and the procurement and security rules the work must meet.
You get Receipt confirmed and a named bid lead
How it is priced
Each package shows how it is priced. Every engagement starts with a written scope and a quote agreed before work begins.
Opens a project brief with this package chosen.
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In your brief
- Typical length
- 1–3 weeks
- Pricing
- Fixed fee
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In your brief
- Typical length
- 4–12 weeks
- Pricing
- Fixed price
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In your brief
- Typical length
- Ongoing · 6-month minimum
- Pricing
- Monthly fee
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In your brief
- Typical length
- Ongoing · 3-month minimum
- Pricing
- Time & materials
Compare what each package includes
| Package | Every engagement includes | Best for |
|---|---|---|
| SprintOne fixed question, answered in one to three weeks. |
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Discovery, a diagnostic, a prototype or a decision you need to make soon |
| ProjectA defined scope, delivered for a fixed price. |
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Work you can describe up front: an identity, a system, a set of tools |
| RetainerReserved monthly capacity to run, improve and extend what we built. |
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Brands and products after launch that need a steady team without hiring one |
| SquadA dedicated team working inside your stack, tools and sprint cadence. |
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Teams with a clear roadmap that need more senior hands, fast |
Questions
What teams ask about creative ai.
Anything else, ask us directly. A short call is usually quicker than a long email.
01How is this different from AI Design’s content studio?
AI Design sets the creative direction and builds the brand’s own AI tools: tuned models, brand systems, the look. This is the production line wired into the campaign stack, turning that direction into the thousands of sized, localised, feed-driven assets that media plans consume.
02Does AI-generated creative perform as well?
It performs as well as the thinking behind it. What AI reliably changes is volume and speed, which lets you test far more and find winners faster. We measure component by component against your existing creative rather than assuming a gain.
03Is our brand or customer data used to train public models?
No. We use enterprise terms that exclude training on your inputs, or models hosted in your own environment. Brand tuning uses your assets under your licence and stays yours.
04Do we have to tell people creative is AI-generated?
Sometimes. Transparency duties for synthetic content in the EU AI Act, advertising codes and individual platform policies can all apply, and they differ by market. We map which rules apply to each campaign and build the disclosure into the template rather than leaving it to a checker.
05Who is accountable for what goes out?
Your approver. The pipeline enforces brand and claim checks and blocks what fails, but a named person releases every campaign, and the log shows who approved which version and when.
Works best with
Variants need a test and a place to publish.
Campaign AI decides which variant wins; Infrastructure puts it in every channel.
Let’s build what happens next.
Tell us what you’re building. We’ll answer straight.
Three ways to start
Every engagement starts with a written scope and a quote agreed before work begins.
Choose one of the three ways above