~/brand-design capability 06 of 6 · Brand Design

Keep every asset on brand with brand-tuned AI tools.

We tune image and language models on your brand and build the brand check, templates and copy assistant your team uses. Agents make and check every variant; a named person approves what goes live.

Start an AI tools brief Try the demo

Typical length: 6–10 weeks
Tools: Flux · Firefly · ComfyUI
Ownership: You own the model

pipeline/your-brand/prod run 0412 Illustrative

studio 2 · rec

01 Training setReference curated 2,418refs Locked · v7
02 Tuned modelImage model v4.2weights Gate passed
03 GenerationVariants in flight 146jobs Running
04 Brand checkColour · space · tone 139checked 7 flagged
05 Human reviewBrand lead signs off 12waiting People decide
06 PublishFormats × markets 54live Logged

09:41:02genvariant 0412-c · Product C · Market 03 · 4:5 · done 3.8s
09:41:03checkcolour ΔE 1.2 ✓ clear space ✓ tone 0.91 ✓ rights ✓
09:41:03queue0412-c → review · owner: Brand lead
09:41:05check0412-f · clear space 62% of rule ✕ · auto-fix proposed
09:41:06review0409-a approved by Brand lead · note attached
09:41:07pub0409-a → 6 formats × 9 markets · credentials signed

Illustration: a six-stage brand content pipeline (training set, tuned model, generation, automated brand check, review by a brand lead and publish) with job counts and a live run log.

$ brandctl --help what we offer · six tools

Six tools built on your brand.

All six use the same palette, type, voice and approval rules, so images, copy and every format follow one standard.

USAGE brandctl <command> [flags]

COMMANDS

↑↓ select a command

brandctl tune --image --language --from ./brand-system

Brand-tuned models

Image and language models fine-tuned on your identity, so first drafts start on brand.

People decideWhich references the model may learn from, and whether a version is released.

brandctl tune --image --from ./brand-system/v7
reading 2,418 references · 311 rules · 64 examples
fine-tuning image model · epoch 12/12
eval brand fidelity 0.93 ≥ gate 0.90 · awaiting sign-off

Illustrative run

$ brandctl curate ./references phase 01 · Prepare · Wk 01–02

The training set, approved by a person one reference at a time.

Before tuning, an agent sorts, labels and rights-checks every reference and suggests a verdict. Each decision is recorded with the name of the person who made it.

batch 14 · 0 left to decide A approve R reject U undo

ref-0231Product

Studio 2 · owned

Agent: approve · palette match 0.94
ref-0232Rules

Brand system v7

Agent: approve · tokens v7 · exact
ref-0233Mood

Stock · licence ends

Agent: reject · rights unclear
ref-0234Texture

Studio 2 · owned

Agent: approve · tone match 0.91
ref-0235Rules

Archive 2019

Agent: reject · superseded identity
ref-0236Product

Archive 2023 · owned

Agent: approve · palette match 0.89
ref-0237Rules

Brand system v7

Agent: approve · type scale · exact
ref-0238Product

Agency upload

Agent: reject · near-duplicate of ref-0231

$ brandctl run --watch how we use AI

One brief, generated, checked, approved and published in every format.

Pick a product, market, format and mood. The tuned model makes four variants with your identity locked, the brand check scores them and passing work waits for your approval.

Interactive demo. Choose a product, market, format and mood, then press Generate. Four variants are scored for colour, clear space, tone and rights; variants that pass wait for your approval; approving one publishes it to six formats in nine markets.

Brief brand-locked

Product

Product A Product C Sub-brand B

Market

Market 01 Market 03 Market 07

Format

4:5 9:16 1:1 16:9

Mood

Calm Warm Bold

Palette v7LockupClear spaceType scaleVoice

Product C · still life · Market 03 · 4:5 · calm — locked: palette v7, lockup, clear space, type, voice

Illustrative

gen4 variants · tuned model v4.2 · seed locked · 6.1s
checkA pass 0.91 · B pass 0.94
checkC clear space 62% of rule ✕ · returned with fix
checkD blocked before render · reference rights unclear
reviewB approved by Brand lead · A held as alternate
pub54 assets · 6 formats × 9 markets · credentials signed

Variant A

Pass · 0.91

Colour
Clear space
Tone
Rights

Variant B

Pass · 0.94

Colour
Clear space
Tone
Rights

Variant C

Fail · clear space

Colour
Clear space
Tone
Rights

Variant D

Blocked · rights

Colour
Clear space
Tone
Rights

Review queue Brand lead

Only variants that pass the check reach a person. Failures go back with the reason attached.

Variant APass · 0.91
Variant BPass · 0.94
C · DReturned to generation

Publish 54 of 54 live

Variant B approved by Brand lead · published to 6 formats × 9 markets · credentials signed

$ brandctl test ./rules rule tests · every version

Brand rules, written as tests that can fail.

When a test fails, you see what broke, what changed to fix it and who approved the fix. The same tests run again on every new model version.

guardrails.spec 11 tests

11 passed (1 after a fix) · 0 failing

describe palette
- uses palette v7 tokens only · ΔE ≤ 2.012ms
- keeps text contrast at AA or above9ms
describe logo
- keeps clear space ≥ 1× mark height14ms
- never recolours or stretches the lockup8ms
describe voice
- expected headline contains 0 never-say terms
  
  received “A revolutionary way to start the day” · 1 term
```
- prompt-set v3.0 · lexicon: 41 never-say terms
+ prompt-set v3.1 · lexicon: 42 never-say terms (+ revolutionary)
+ copy assistant regenerated · eval re-run 0.91
```
  Fix Term added to the lexicon, the copy assistant regenerated and the suite run again. Signed off by the Copy lead.
- reads at tone score ≥ 0.8033ms
describe rights
- uses only references with cleared rights11ms
- blocks the likeness of a real person17ms
describe review
- sends regulated claims to a person6ms
- sends pricing and apologies to a person6ms
describe log
- records who, what, when and model version4ms

The policy the tests enforce

Written rules for what the tools may produce and what needs a person, with a record of every output.

# policy.yaml · your-brand
automatic:
  - variants from an approved source
  - sizes and market versions
  - copy drafts inside the lexicon
needs_a_person:
  - regulated claims
  - people, pricing, apologies
  - anything flagged twice
never:
  - a likeness without consent
  - references with unclear rights
log: every output · who · what · when · model

Illustrative Delivered as: Rule tests & evaluation set · Tests

$ brandctl eval --gate release release gate

Model versions are scored automatically and released by a person.

Each tuned model is scored on a fixed evaluation set built from your brand. A version that meets every score can still be held back by the brand lead.

Compare version

Gate passed

v4.2 cleared all 6 gates. Released after sign-off by the Brand lead.

Illustrative Domain 0.50–1.00 · gate marked

Brand fidelity

0.93

Evaluation set rated against the identity · gate 0.90
Palette accuracy

0.98

Outputs within ΔE 2.0 of palette v7 · gate 0.95
Clear space held

0.99

Lockups placed inside the rule · gate 0.98
Tone score

0.86

Copy scored against the voice · gate 0.80
Review approval

0.79

Share approved at first human review · gate 0.70
Rights blocked

1.00

Unclear references stopped before render · gate 1.00

$ brandctl inspect 0409-b content credentials · signed manifest

Every published asset records where it came from.

Each file carries a signed record of its source reference, model version, edits, checks and approver. Open any file to read its history.

Asset: 0409-b · Product C · Market 03
Signature: Valid · your key
Disclosure: AI-generated · edited by a person
Record: 8 events · 4 people

Person Automated Illustrative

05 · Edit · a person decided

Crop and headline adjusted

A person tightened the crop and the headline, and the edit is recorded.

Who: Designer
What: Crop 4:5 safe area · kerning
When: 09-03 11:48 UTC
Hash: 5e2b…40f9

Sign-off stays with people

$ brandctl deploy --log how it works · 6–10 weeks

Delivered in four phases, each one logged.

We prepare the training set, tune and test the models, build the tools into your workflow, then run a pilot and hand over.

deploy #01 · a41c9e2 queuedrunningsucceeded Wk 01–02

Prepare

Agents sort, label and rights-check your assets, rules and examples; the brand lead approves the training set.
1. agentsorted and labelled 3,112 brand assets into 14 categories
2. agentflagged 188 references with unclear rights
3. personBrand lead approved training set v7 and the tool scope
artefactsTraining setRights checkTool scope
deploy #02 · 7f03bd1 queuedrunningsucceeded Wk 03–05

Tune

Models are fine-tuned and scored against your brand and the rules become tests; the brand lead approves each release.
1. agentfine-tuned the image model · 4 versions evaluated
2. agentrules written as 11 tests · 640 evaluation cases
3. personBrand lead signed off v4.2 at the release gate
artefactsTuned modelsEvaluation setRule tests
deploy #03 · c58e21a queuedrunningsucceeded Wk 06–08

Build

The brand check, generation and templates are built into your team's tools; the design lead approves templates and locked slots.
1. agentbrand check released as a design-tool plugin and an API
2. agentgeneration pipeline wired into your asset library
3. personDesign lead approved templates and locked slots
artefactsBrand checkGeneration pipelineTemplate engine
deploy #04 · 0e9d6f4 queuedrunningsucceeded Wk 09–10

Run

A pilot team uses the tools, the model is re-tuned on their approved work, and weights, data and logs move to your accounts.
1. personpilot team live in Market 03
2. agentre-tuned on 1,240 approved pilot outputs
3. personhandover: weights, datasets, prompts and logs moved to your accounts
artefactsPilotRe-tuneHandover

$ brandctl registry ls what you get · 7 artefacts

Every artefact versioned, registered and handed over.

Everything the programme builds goes into a registry you control, with a format, version and named owner for each item. Download any of it without asking us.

7 of 7 match Illustrative versions

U01 released v4.2.0

Brand-tuned image model

Image model fine-tuned on your identity, so generation starts on brand.

Formats:Weightsyours

Owner
Your brand

Size
6.4 GB

brandctl pull image-model@4.2.0
U02 released v3.1.0

Brand-tuned language model or prompts

Adapter and prompt set that write in your voice and approved terms.

Formats:Weightsprompt set

Owner
Your brand

Size
380 MB

brandctl pull language-kit@3.1.0
U03 released v2.3.1

Brand check

Scores any asset against the rules and returns fixes with reasons.

Formats:PluginAPI

Owner
Your brand

Size
42 MB

brandctl pull brand-check@2.3.1
U04 released v1.8.0

Generation pipeline

Generates variants from approved sources in every format you publish.

Formats:ComfyUIAPI

Owner
Your brand

Size
120 MB

brandctl pull gen-pipeline@1.8.0
U05 released v1.4.2

Template engine

Fills templates with content and keeps layout inside the rules.

Formats:WebAPI

Owner
Your brand

Size
64 MB

brandctl pull template-engine@1.4.2
U06 released v1.1.0

Rule tests & evaluation set

Tests and evaluation set every model version must pass before release.

Formats:Tests

Owner
Your brand

Size
8 MB

brandctl pull guardrails@1.1.0
U07 streaming live

Output log & governance

Who made what, with which model, and who approved it.

Formats:Dashboard

Owner
Your brand

Size
—

Events today
18,204

brandctl pull output-log@live

$ brandctl report --outcomes what changes

Three jobs that keep running after we hand over.

Each outcome below runs as a job inside your tools after handover, and each job reports its own results.

job/on-brand-by-defaultexit 0

On brand by default

Drafts start from your identity, and the brand check flags anything that is off.
1. generation starts from tuned model v4.2
2. brand check runs on every output
3. flagged work fixed or returned with a reason
96%pass the check first time

owner · Your brandschedule · continuousIllustrative
job/volume-without-driftexit 0

Every format from one source

Formats and market versions come from one approved source, so people review only the judgement calls.
1. 1 approved source in
2. 6 formats × 9 markets out
3. people review the judgement calls only
54renditions per approved source

owner · Your brandschedule · continuousIllustrative
job/yours-all-of-itexit 0

Yours once paid for

Model weights, datasets, prompts and logs are never used to train anything else.
1. weights, datasets, prompts, logs → your accounts
2. copies retained by us: 0
3. trained on elsewhere: never
0copies kept by us

owner · Your brandschedule · continuousIllustrative

Services & packages

Brand AI tools and services, bought separately or as one programme.

Start with one service, such as a brand check or a brand-tuned image model, or have us build and run the full set. Models, prompts and logs are yours once paid for.

Categories: 04
Services: 17
Packages: 06

Not sure what you need? Describe the problem

How to buy

01Pick services. Enquire about one, or add several to a brief.
02Choose a package. A sprint, a fixed project or an ongoing team.
03Send the brief. We reply within one working day.

Browse by category

Timelines are typical. Every quote follows a written scope.

01Readiness & data

4 services

Typical timeline: 2 weeks

Brand AI readiness sprint

We map where AI can take repetitive brand work off your teams, what to fix first and the risks, then rank the tools worth building.

What’s included

Workflow and volume review
Brand system readiness check
Risk and rights review
Ranked tool shortlist with scope

Entry point
Sprint

Best forBrand and marketing leads asked for an AI plan they can defend

Typical timeline: 2–3 weeks

Model & tool selection

We test candidate models and tools side by side on your own assets and briefs, then recommend one for each brand task.

What’s included

Shortlist per task
Side-by-side trial on your assets
Cost, rights and data-handling review
Recommendation with rationale

Selection
Vendor-neutral

Anthropic
OpenAI
Google Gemini
Mistral AI

Best forTeams weighing platforms and vendors before committing budget

Typical timeline: 2–4 weeks

Training set curation

Your brand assets, rules and examples turned into training data: selected, labelled and rights-checked, with a named person approving every item.

What’s included

Asset collection and labelling
Rights and consent check per item
Evaluation set kept out of training
Dataset versioning and documentation

Data
Rights-checked

Python
Hugging Face

Best forAny brand preparing to tune a model on its own assets

Typical timeline: 3–5 weeks

Brand knowledge base

Your guidelines, rules and approved examples structured so AI tools can read and cite them, and kept current when the brand changes.

What’s included

Guidelines turned into structured rules
Searchable index of approved examples
Connectors to your tools
Update process for brand changes

Knowledge
Searchable

Python
LangChain

Best forBrands whose rules sit in PDFs that no tool can read

02Models & generation

5 services

Typical timeline: 4–6 weeks

Brand-tuned image model

An image model fine-tuned on your identity, so new images start on brand. Scored on a fixed evaluation set and delivered into your accounts.

What’s included

Model fine-tuned on your assets
Evaluation set and score report
Prompt set and usage guide
Model files delivered to your accounts

Fine-tuned
Yours

PyTorch
Hugging Face
Replicate
Modal

Best forBrands that need more imagery than photography alone can supply

Typical timeline: 4–6 weeks

Brand voice assistant

A writing assistant that follows your voice, preferred terms and banned words inside your team's tools. Tuned prompts or a tuned model, whichever tests better.

What’s included

Voice and lexicon knowledge base
Tuned prompts or fine-tuned model
Integration with your writing tools
Evaluation against the voice rules

Voice-aware
Copy

Anthropic
OpenAI
Google Gemini
LangChain

Best forTeams writing at volume across markets, channels and agencies

Typical timeline: 6–8 weeks

Asset generation pipeline

Campaign variants, market versions and formats made from one approved source. AI handles resizing and localisation; people review the results before release.

What’s included

Pipeline from approved masters
Resizing and format presets
Localised and market variants
Review queue before release

Variants
One source · every format

Python
Replicate
Modal

Best forBrands publishing many formats across many markets

Typical timeline: 6–10 weeks

Template engine

Templates that turn content and data into finished, on-brand assets across markets, sizes and channels.

What’s included

Data-driven templates
Web interface for non-designers
API for your other systems
Rendering rules and fallbacks

Content in · assets out
API

TypeScript
React

Best forRetail, product and performance teams with thousands of variants

Typical timeline: 2–3 weeks

Prompt library & playbooks

Tested prompts and checks for your teams' most common brand tasks, kept in a shared, versioned library.

What’s included

Prompts for priority tasks
Examples of good and bad output
Model and settings notes per task
Versioned library with owners

Entry point
Fixed scope

Best forTeams already using general AI tools with inconsistent results

03Checks & approvals

4 services

Typical timeline: 4–6 weeks

Brand check

An automated check of colour, logo clear space, type and tone on every asset, with a suggested fix before it reaches review.

What’s included

Rules encoded from your guidelines
Checks for colour, logo, type and tone
Plugin for your design tools
API for pipelines and the DAM

Check · fix
Automated

Figma
Python
TypeScript

Best forBrands reviewing more assets than their team can check by hand

Typical timeline: 3–5 weeks

AI usage rules & approvals

Rules for what the tools may produce, what needs a person and who approves it, written as automated tests with a review workflow.

What’s included

Usage policy and red lines
Usage rules written as automated tests
Human review and approval workflow
Output log for every release

Named approver
Policy

Best forAny organisation putting generative tools in front of staff or customers

Typical timeline: 2–4 weeks

Evaluation & release gate

A fixed evaluation set from your brand and a pass mark each model version must clear, then a named person approves the release.

What’s included

Evaluation set from your brand
Scoring and pass thresholds
Release gate and sign-off
Re-tests on every new version

Evaluation
Gated

Python

Best forTeams judging models or vendors on more than a demo

Typical timeline: 3–5 weeks

Provenance & rights checks

Signed content credentials on every generated asset, recording source, model version, edits and approver, plus rights checks and AI disclosure rules.

What’s included

C2PA content credentials on outputs
Rights register for training assets
AI-generated disclosure rules
Audit trail per published asset

Provenance
Audit trail

Best forRegulated brands and any brand publishing AI content at volume

04Adoption & operations

4 services

Typical timeline: 8–10 weeks

Brand AI programme

One programme covering the training set, tuned models, brand check, generation, templates and usage rules, then a live pilot, re-tune and handover in your name.

What’s included

Curated training and evaluation sets
Tuned image and language models
Brand check and generation pipeline
Pilot, re-tune and handover

Most complete
Gated phases

Best forBrands with high content volume across many markets

Typical timeline: 2–4 weeks

Team enablement & training

Hands-on training for designers, writers and marketers on the tools we build and the rules for using them.

What’s included

Role-based training sessions
Quick-reference guides
Office hours during the pilot
Internal champions set up

Training
Adoption

Best forTeams taking brand AI tools beyond a pilot group

Typical timeline: Ongoing · monthly

Managed brand AI operations

We run your brand AI tools for you: monitoring, re-tuning, new templates, output reviews and a monthly report. The models and data stay yours.

What’s included

Monitoring and incident response
Scheduled re-tuning and evaluation
New templates and workflows
Monthly usage and quality report

Managed service
Ongoing

Best forHigh-volume brands without an in-house AI team

Typical timeline: Ongoing · monthly

Embedded AI squad

Machine-learning engineers, brand technologists and designers who join your team, work from your backlog and build brand AI tools at your pace.

What’s included

AI and brand technology specialists
Your backlog, repositories and cadence
Weekly progress reporting
Knowledge transfer built in

Squad
Time & materials

Python
TypeScript
GitHub

Best forIn-house teams with an AI roadmap and not enough people

Your brief

Tick “Add to brief” on any service, choose a package, then continue. Or enquire about one service directly.

Package

How we work with you

Ways to engage, from a question to an RFQ.

Ask a quick question, send a project brief or issue a formal RFQ. The lead for the work reads each one in full, and any services already in your brief go with it.

Or book a thirty-minute call

What are you sending?

01

About 2 minutes4 required answers

For a first conversation, a press request or anything that does not need a scope yet.

You get A reply from a named lead
02Recommended

About 8 minutes5 short steps

Goals, audiences, a budget band and timing, so our first reply can outline the work.

You get Options and a first scope after one call
03

About 15 minutesYour documents attached

Your documents, 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 its pricing model. Work starts once a written scope and quote are agreed.

Typical length
1–3 weeks

Pricing
Fixed fee
Typical length
4–12 weeks

Pricing
Fixed price
Typical length
3–9 months

Pricing
Fixed price per milestone
Typical length
Ongoing · 6-month minimum

Pricing
Monthly fee
Typical length
6–18 months

Pricing
Programme fee · by statement of work
Typical length
Ongoing · 3-month minimum

Pricing
Time & materials

Compare what each package includes

What each package includes and who it suits
Package	Every engagement includes	Best for
SprintA short, fixed-scope engagement that answers one defined question.	Scope and outcome agreed before day one A senior lead plus the specialists needed A working review every week A decision-ready answer or prototype	Discovery, a diagnostic, a prototype or a decision you need to make soon
ProjectA defined scope, delivered for a fixed price.	Statement of work with deliverables and acceptance criteria A named project lead and a fixed team A shared plan with dated checkpoints Source files, yours once paid for	Work you can describe up front: an identity, a platform or a set of tools
MilestoneA larger build in phases you approve and pay for one at a time.	Phases with their own scope, output and sign-off A go or no-go review at every gate Re-planning between phases as you learn Payment tied to accepted milestones	Programmes too large for one contract, where you want control at each step
RetainerReserved monthly capacity to run, improve and extend what we built.	A reserved block of team time every month Agreed response times for requests and fixes A monthly review and a rolling backlog Planned improvements as well as upkeep	Live brands and products that need a steady team without hiring one
EnterpriseA multi-workstream programme with a dedicated team, governance and agreed service levels.	An engagement director and a steering group A dedicated team across several workstreams Service levels, reporting and a risk register Security, legal and procurement reviews in the plan	Large organisations running change across markets, portfolios or business units
SquadA dedicated team that works inside your stack and sprint schedule.	Named specialists matched to your roadmap Works in your tools, meetings and backlog Scale the team up or down each month Knowledge transfer built in from week one	Teams with a clear roadmap that need more senior people quickly

$ man brandctl questions

Questions teams ask before starting.

Short answers on models, ownership, prerequisites and brand checks. Ask anything else in your brief.

Start a brief

NAME

brand-ai-tools — automated brand checks on every asset, before a named person approves it

SYNOPSIS

We choose a model per task, tested on your own examples. Image work uses Flux, Adobe Firefly and ComfyUI pipelines; language work uses Gemini, OpenAI or Anthropic models. We hold no partner status and switch when test results change.

You do, once it is paid for. Weights, datasets, prompts and logs are delivered into your accounts at handover.

You need a defined identity. If its rules are not written down yet, we start with Brand Systems, because a model can only learn what has been decided.

Three layers: rule tests, an automatic brand check and a person. Tests run on every model version, the check runs on every output, and a named person approves high-stakes work. Every output is logged.

Brand Design capabilities these tools build on.

Brand AI Tools apply a brand that has already been decided. These capabilities do the deciding; the two marked here supply the rules and identity the models learn.

Brand Design Back to the discipline: all six capabilities and how a programme runs cd ..
Growth Strategy The customers and markets to pursue next, chosen from research and market data.
Brand Identity Visual identity, tone of voice and brand guidelines for every touchpoint. pair · what it is tuned on
Brand Foundation Positioning, values and principles, written as the brand platform every team works from.
Brand Systems Design tokens, templates and rules that let a brand adapt and stay recognisable. pair · the rules it learns
Brand Architecture Structure and naming for products and sub-brands that keep the portfolio clear.
Brand AI Tools Automated brand checks on every asset, before a named person approves it. you are here

Tell us what you need built.

You will speak to a lead who would run the work, and get a straight answer on fit.

Book a call

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

See the work Explore our services Industries we serve Meet the team Email us Read our approach

Keep every asset on brand with brand-tuned AI tools.

Six tools built on your brand.

Brand-tuned models

Brand check

Asset generation

Copy assistant

Template engine

AI usage rules & approvals

The training set, approved by a person one reference at a time.

One brief, generated, checked, approved and published in every format.

Brief brand-locked

Variant A

Variant B

Variant C

Variant D

Review queue Brand lead

Publish 54 of 54 live

Brand rules, written as tests that can fail.

Model versions are scored automatically and released by a person.

Brand fidelity

Palette accuracy

Clear space held

Tone score

Review approval

Rights blocked

Every published asset records where it came from.

Reference photographed

Approved into the training set

Model version trained

Variant generated

Crop and headline adjusted

Brand check passed

Approved for release

Published with credentials

Weights, prompts, data and logs. Yours once paid for.

Image model weights

Language adapter and prompt set

Training set

Evaluation and rule test suite

Output log

Brand check rules

Delivered in four phases, each one logged.

Prepare

Tune

Build

Run

Every artefact versioned, registered and handed over.

Brand-tuned image model

Brand-tuned language model or prompts

Brand check

Generation pipeline

Template engine

Rule tests & evaluation set

Output log & governance

Three jobs that keep running after we hand over.

On brand by default

Every format from one source

Yours once paid for

Brand AI readiness sprint

Model & tool selection

Training set curation

Brand knowledge base

Brand-tuned image model

Brand voice assistant

Asset generation pipeline

Template engine

Prompt library & playbooks

Brand check

AI usage rules & approvals

Evaluation & release gate

Provenance & rights checks

Brand AI programme

Team enablement & training

Managed brand AI operations

Embedded AI squad

Ways to engage, from a question to an RFQ.

A quick question

A project brief

A formal RFQ or RFP

Questions teams ask before starting.