Everyone uses a different model
Output quality depends on who happened to run the generation.
Turn AI experiments into a production system your team can actually use.
We design and implement the creative workflows, brand controls, model logic, review rules and Creative Memory your team needs to produce consistent image and video at scale. One or two production workflows, fully configured inside Mujo AI, live in 7–10 business days. From $3,000.
✓300,000+ generations on Mujo AI
✓1–2 live production workflows
✓Live in 7–10 business days
✓Two training sessions included
Why most AI setups break
Giving your team access to AI is not the same as building an AI production workflow.
Most teams start the same way. Everyone picks a different model, prompts live in personal documents and chats, the brand guidelines get uploaded once and are expected to just work, and approved references are never preserved. The result is technically AI-enabled production that is still inconsistent, still slow and still dependent on individual people.
A brand kit is not an AI production system.
Access to models is not a workflow. Without structured production context, every generation starts an argument that was already settled in the last campaign, and the next campaign starts from close to zero.
What actually breaks
Eight failures that show up on the second campaign.
None of them are model problems. All of them are workflow problems.
Prompts live in private documents
The useful ones are never found again, and never improved.
Guidelines uploaded once
A PDF written for designers is not instruction a model can follow.
Approved references are lost
The reference that finally worked is not kept for the next run.
Rules drift between generations
Camera, styling and product treatment change without anyone deciding.
Review happens elsewhere
Feedback lands in chat threads and never reaches production.
Fixes are redone by hand
The same correction is applied again on the next batch.
Knowledge leaves with people
When someone changes role, the working setup leaves with them.
AI-ready brand system
Your brand guidelines were written for people. AI needs production context.
Uploading a logo, a font and a palette is not enough. We translate your brand and production requirements into structured instructions that models can actually follow, and we test generations until the rules hold.
Creative Controls in Mujo AIThis becomes production context, not another PDF in a folder.
Where the rules apply, what the known failure cases are, which references prove the correct result — written as production instruction rather than as design documentation.
Typography
Where type can and cannot be used, proportions and hierarchy, correct implementations, known failure cases and system instructions written to reduce distortion.
Logo
Correct usage, placement, scale, clear space, prohibited transformations, reference examples and rules for generation and editing.
Color
Approved palette, colour relationships, lighting considerations, grading, unacceptable shifts and channel-specific requirements.
People and talent
Character identity, skin treatment, hair consistency, styling, dress code, demographic requirements and rules for pose and expression.
Product
Hero references, shape fidelity, packaging, materials, camera angles, proportions and which modifications are allowed.
Visual direction
Camera families, lenses and perspective, lighting, composition, backgrounds, negative space, grading and crop rules.
From prompting to production
The goal is not better prompting. The goal is a repeatable production system.
The goal is not better prompting. The goal is a route from brief to approved asset that the same team can run again next month without rebuilding it.
Bulk production in Mujo AIReusable components, generation, Node Canvas and bulk — connected.
Before: brand book, someone writes a prompt, regenerate, regenerate again, fix by hand, feedback in chat, next campaign starts from close to zero. After: a structured route where each step feeds the next and the decisions are kept.
Structured brand context
Brand, historical work and production requirements turned into instruction.
Approved references
The material that proved the correct result, kept where production can reach it.
Model routing
The right models and production routes configured behind the workflow.
Creative Controls
Reusable controls for camera, lighting, styling, composition, characters and products.
Reusable workflow
The route itself, built once and run again.
Review and approval
Decisions made beside the work rather than in a separate thread.
Creative Memory
Approvals, rejections and comments retained as project context.
Scale
New formats, new campaigns and larger asset families from the same system.
Your workspace, already built
Configured around how your team actually produces creative.
When the setup is finished, your Mujo workspace is already configured around the way your team actually produces creative. Not a blank workspace. Not a generic template. Not a strategy deck.
Enterprise capabilities on Mujo AIWe do not hand you an empty enterprise dashboard.
Projects, assets, references and controls are populated during setup, using your own production material, so the first real brief can run through the system on day one.
Workspace and projects
Your production structure, projects and assets.
Brand system
Fonts, colours, logos, visual rules, instructions and approved references.
Creative Controls
Reusable controls for cameras, lighting, styling, composition, environments, characters and products.
Node workflows
One or two production-ready workflows built around your highest-value use cases.
Model logic
The right models and production routes configured behind each workflow.
Bulk production
Where the use case needs variants, resizes or larger asset families.
Reviews and approvals
Review stages and approval logic around your production process.
Creative Memory
Memory starts learning from approvals, rejections, comments and production decisions during setup.
Asset and reference library
Approved references, source material and production inputs organised for reuse.
QA rules
Brand, visual and technical checks relevant to your output.
Output formats
Campaign assets, banners, social, ecommerce and video — the formats your team actually needs.
Reporting and analytics
Production activity and usage visibility inside your environment.
Live production workflows
One or two workflows, built around your highest-value work.
We build one or two working production workflows around your highest-value recurring use cases. We do not implement AI in general — we start with the work your team already repeats.
See the Node EditorStart with the work your team repeats most.
The workflow is built on the Node Canvas inside your own workspace, using your own references and controls, so your team can open it, run it and extend it after handoff.
Campaign adaptation
Approved master into social, display, OOH and alternative compositions.
Product content
Product references into hero, lifestyle, campaign and ecommerce variants.
Short-form video
Brief into concept, frames, video, review and vertical outputs.
AI photoshoot
Talent identity, styling, environment and camera system into approved output.
Real estate production
Render into enhanced master, lifestyle, static, video and adaptations.
UGC production
Product and script into AI talent, hooks and vertical-video variants.
Ecommerce and listings
Catalogue inputs into a consistent, repeatable listing image system.
Corporate and editorial
Brand context and visual direction into recurring report and communication assets.
Built for the hard part
Built for the problems that appear after the first impressive generation.
The first impressive generation is not the problem. These are the problems that appear on the second campaign, the fortieth asset and the third format.
Production use cases on Mujo AIProduct fidelity
Keep the product recognisable across scenes, formats and campaigns.
Character consistency
Preserve identity across images and video.
Face, skin and hair
Define the visual treatment rather than hoping each generation lands correctly.
Camera consistency
Build repeatable camera families, angles and perspective.
Typography consistency
Reduce broken type, unintended substitutions and incorrect brand treatment.
Logo integrity
Control how and where brand marks appear.
Colour consistency
Preserve palette and grading across output.
Styling consistency
Wardrobe, dress code, accessories and art direction.
Architecture and interiors
Maintain spatial logic, materials and architectural identity.
Visual continuity
Preserve environments, props and creative direction across a sequence.
Multi-format adaptation
Turn approved creative into different placements without destroying composition.
Video continuity
Keep subjects, environments and key visual decisions coherent across shots.
Built on real production data
300,000+ generations give us a different view of AI production.
Mujo AI has structured production analytics across more than 300,000 generations, and the number grows every day. We use that alongside hands-on production experience to understand how models, controls and workflows behave on real creative work.
We do not design your workflow from AI theory.
We design it using what we have learned from hundreds of thousands of real generations, and we test the result on your own material before handing it over.
Model selection
Which models tend to work better for specific production problems.
Use-case patterns
How successful workflows differ across product, people, architecture, video, ecommerce and campaign work.
Cohort insights
Patterns across different types of users, projects and production behaviour.
Workflow recommendations
Where teams regenerate unnecessarily, where controls improve repeatability and where a different route makes more sense.
Production learnings
Which combinations of references, controls, editing steps and model routes are worth testing first.
Review, approval and QA
Review and approval structured around the way your team works.
We structure review and approval around the way your team already works, so a decision made once does not have to be made again on the next batch.
Feedback should improve the next cycle, not disappear in a thread.
The system should remember what your team already decided.
✓Review states
✓Comments kept beside the work
✓Approvals and changes requested
✓Final handoff
✓QA checkpoints
✓Approval logic per workflow
Creative Memory
Context from one cycle, available to the next.
Creative Memory begins learning during setup rather than after it. For ongoing production, approvals, rejections and comments can feed the project's memory.
Your next campaign should not start from zero.
Memory can retain project context from approvals, rejections, comments, reused creative directions, recurring preferences and production decisions — which helps preserve useful context as projects evolve and teams change.
Review
The team looks at real output inside the production system.
Approved or rejected
The decision is recorded against the work it refers to.
Creative Memory
Context from that decision is retained on the project.
Next production
The following cycle starts from what was already decided.
Turn old work into new production context
Years of approved and rejected work are production context nobody has used yet.
Send us your last three to six campaigns, approved work, rejected work, comments and brand materials. We analyse what they have in common and translate it into the initial workflow, controls, references and Creative Memory.
Already have years of creative work? We can structure it for AI.
Historical Creative Intelligence Setup — from $1,500 as an add-on. Final pricing depends on archive size and complexity.
✓Recurring visual patterns
✓Approved and rejected directions
✓Camera preferences
✓Product treatments
✓Talent and styling choices
✓Composition, colour and formats
✓Recurring client feedback
Tested on real work
We test the system before handing it over.
During setup we run the workflow against your actual production material, so the handover is a working system rather than a document describing one.
Setup ends when the workflow works, not when the documentation is finished.
When a model repeatedly breaks a rule we do not just document the problem. We adjust the context, controls, references or production route, and test it again.
✓Test generations on your own material
✓Alternative creative directions
✓Edge cases
✓Failed outputs kept and explained
✓Corrected rules
✓Approved results
Built for real teams
Governance that matches how the team is organised.
For teams that need governance, Mujo supports structured access and workspace management. We configure what exists in the product — nothing beyond it.
Team workspace and governanceGive the right people the right level of control.
We configure the access and workspace management that exists in the Mujo product. We do not claim security or compliance functionality the platform does not have.
Roles
Who does what inside the workspace.
Permissions
Access scoped to the way the team is organised.
Review access
Who can comment, request changes and approve.
Model access
Which models are available to which members.
Usage limits
Production volume kept inside agreed boundaries.
Credit limits
Per-member limits where the team needs them.
Pause usage
Stop activity on a member or a workspace when required.
Member management
Adding, changing and removing people as the team changes.
After 7–10 business days
Your team leaves with a working system, not a presentation.
After 7–10 business days your team has a working system rather than a presentation. Everything below is included in the setup.
Configured Mujo workspace
Set up around your production, not a template.
Project structure
Projects and assets organised the way your team works.
Structured brand context
Brand and production requirements written as model instruction.
Creative Controls
Reusable controls for the variables you keep changing.
Approved references
The material that proves the correct result, kept for reuse.
1–2 production workflows
Built around your highest-value recurring work.
Model logic
The routes configured behind those workflows.
Creative Memory initialised
Memory already holding context from the setup.
Reviews, approvals and QA
Review stages, approval logic and the checks relevant to your output.
Required output formats
Campaign, banner, social, ecommerce and video formats you actually use.
Test production and pilot assets
Real generations run on your own material.
Playbook and two training sessions
Written for your team, with no attendee limit from one team.
Team enablement
We train the team that will actually use it.
We train the team that will actually use the system, then come back once they have used it.
Session 1 — Introduction and production workflow
How the system is structured, and how to run workflows, controls, projects and reviews.
Session 2 — Review and optimisation
After the team has used the setup, we review real output, answer questions and refine the workflow.
No attendee limit
Both sessions are open to everyone on one team, not to a named list of seats.
Ongoing optimisation
The AI stack changes every month. Your production system should too.
After the setup is live we can keep improving it as models, campaigns and production requirements change. Ongoing optimisation starts from $1,500 a month, and is optional — the setup can be a standalone engagement.
Dedicated manager
One person who knows your setup.
Workflow health review
What is working, what has drifted.
Model updates
New and updated models evaluated against your use cases.
Routing changes
Production routes adjusted as the stack moves.
Controls refinement
Controls tightened where output keeps drifting.
Creative Memory tuning
Memory kept useful as the project evolves.
Reference and QA updates
References and checks refreshed against current work.
One workflow update per month
A workflow extended or a new one started, plus office hours.
Who it's for
Built for teams with real creative work to produce.
The workflow changes by use case. The setup methodology does not. Typical roles: CMO, Head of Marketing, Creative Director, Head of Production, AI or Innovation Lead, Brand Lead, Ecommerce Lead. Industries: real estate, automotive, fashion, beauty, FMCG, ecommerce, consumer tech, advertising, production studios and corporate communications.
See the workAgencies
Turn AI experiments into repeatable production for client work.
In-house creative teams
Build workflows around recurring brand and campaign production.
Marketing teams
Reduce dependence on ad-hoc prompting and external production for everyday assets.
Production teams
Integrate AI into existing image and video pipelines.
Ecommerce teams
Build repeatable product and listing production.
Small businesses
Get a professional production setup without building an internal AI team.
Pricing
Start with one working system.
Start with one working system. Final scope is confirmed after we see the work you already do.
Mujo AI platform pricingAI Creative Workflow Setup — from $3,000
One or two production workflows, live in 7–10 business days. Workspace configuration, brand system, Creative Controls, workflows, Creative Memory, reviews and approvals, QA, test production and two training sessions.
Historical Creative Intelligence Setup — from $1,500
An add-on that analyses your last three to six campaigns and translates the patterns into references, controls and initial production context. Final pricing depends on archive size and complexity.
AI Workflow Optimisation — from $1,500 / month
Ongoing optimisation after the setup is live: workflow health, model updates, routing, controls, memory tuning and one workflow update a month. Optional.
Enterprise Creative AI System — custom
For multiple brands, departments, markets and use cases, larger production volumes and ongoing implementation.
Common questions
AI creative workflow setup, in practical terms.
If the answer you need is not here, send the question with your brief and we will answer it before quoting.
Mujo AI AgencyIs this consulting or implementation?
Implementation. We do not stop at recommendations — we configure the Mujo workspace, controls, workflows, reviews, QA and production context.
How long does setup take?
Most standard setups are designed to go live in 7–10 business days.
What is included in the $3,000 setup?
A configured Mujo workspace, structured brand context, Creative Controls, one or two production workflows, reviews and approvals, QA, Creative Memory initialisation, test production and two training sessions.
Do we need an existing AI workflow?
No. We can start from your current creative process, even if AI usage is still fragmented.
What do we need to send you?
Anything you consider important: brand materials, campaigns, references, products, renders, examples, rejected work, existing prompts, current workflows, or simply a brief.
Can you work with our historical campaigns?
Yes. The Historical Creative Intelligence Setup analyses the last three to six campaigns and translates useful patterns into references, controls and initial production context.
Is this only for large enterprise teams?
No. The setup works for agencies, small businesses, in-house teams and large enterprises.
Do we have to keep paying a retainer afterwards?
No. The $3,000 setup can be a standalone engagement. Ongoing optimisation is optional.
Which AI models do you work with?
The workflows are built around models available through Mujo AI. The platform supports a broad multi-model stack, and the route is chosen around the production requirement.
Who runs the setup?
A production architect from the Mujo AI Agency team, working with the people who will use the system. A real person, not an AI sales agent.
Stop experimenting. Start producing.
Your team could have a working AI production system next week.
Send us the creative work you already do. We will identify the first workflows worth building and show you how we would configure them inside Mujo. Real person. No chatbot. No generic AI audit.