Outproduce

AI content production for brands

On-brand visuals in hours, with a person checking every asset.

Send the brand guide, approved references and the formats you need. Outproduce builds a production pipeline tuned to your look and voice, runs it per channel, and routes every asset through human review against your guidelines before delivery.

One direct Fit Review. No sales handoff.

Campaign brief to reviewed setBrand guideReferences
FeedApproved
StoryApproved
BannerIn review
ProductApproved
Ad setRejected: logo clear space
StoryApproved
Reviewed by a personRegenerated, never deliveredIllustrative
Starting unit
One accepted workflow
Existing stack
Keep the tools that work
Human control
Consequential work waits
After launch
Operate or hand over

What this build changes.

Every new channel, campaign and season needs fresh visuals. Shoots take weeks. Generic AI tools produce something, but it is not your brand, and nobody checks it before it goes out.

One run

What a single run looks like.

Every step is recorded with its input, the decision, and whether it ran on its own, waited for a person, or was read back from the receiving system.

Brief to reviewed assets, illustrativeIllustrative
  1. 01
    Brief

    Campaign brief, brand guide and approved references received

    Automated
  2. 02
    Style tuned

    Palette, lighting, composition and voice matched to the references

    Automated
  3. 03
    Generated per channel

    Feed, story and banner variations produced

    Automated
  4. 04
    Reviewed

    Colour, logo use, product accuracy and anatomy checked by a person

    Human approval
  5. 05
    Delivered

    Approved assets delivered with their review record. Rejected ones never reach you

    Read back

Rejected assets are regenerated, never delivered.

The content calendar outgrew the shoot budget, and generic AI does not look like you.

We close that gap with a pipeline tuned on your own look: colour grade, lens feel, composition, subject posture, and the voice rules for copy. Then a person reviews every asset against your guide, because a model does not know your logo rules or your product.

What we build

Each offering, before and after.

Pick the stage that matches where the work gets stuck. Each card names the manual state, the installed state, and the outcome the team can check.

Analyse

Brand analysis

We study your guide and approved images: colour palette, lighting, composition, tone and the things you never do. The output is a written style definition you can read.

Before
A brand guide nobody can hand to a model
After
A style definition the pipeline uses
Your look, written down
Tune

Style tuning

The generation pipeline is tuned on those references so it reproduces your look rather than a generic one. The same tuning produces copy in your voice.

Before
Generic AI output
After
Output inside your limits
Variations that look and read like you
Produce

Generation per channel

From one brief we produce variations per channel and format: feed, story, banner, product page, ad set. Each carries its brief and references.

Before
One shoot, one format
After
Every format from one brief
Hours from brief to review set
Review

Human review gate

A person checks each asset against your guide: colours, logo use, product accuracy, anatomy, claims in copy. Rejections go back to the pipeline, not to you.

Before
Nobody checks AI output
After
Every asset reviewed and logged
Nothing off-brand reaches the calendar
Reuse

Reusable pipeline

The tuned pipeline produces new variations for every campaign and season without starting over.

Before
Each campaign starts from scratch
After
Same pipeline, new brief
Faster every time it runs

The system follows the operating job.

Concrete paths, not a bag of features.

Each example begins with a trigger, crosses named records, assigns approval, and ends in a state people can verify.

Private build

Campaign brief to reviewed set

Trigger
An approved brief enters the production queue.
Crosses
Brief, brand rules, references, model tools, QA and delivery.
System role
Prepares variations per channel, applies quality checks and packages a review set.
Human gate
A person approves every asset before delivery.
Finished when
Approved assets are delivered with their source, review and delivery record.
Common workflow

Product page visuals

Trigger
A product or variant is added.
Crosses
Product data, reference imagery, brand rules and the CMS.
System role
Produces consistent product visuals in the required formats.
Human gate
Product accuracy is checked by a person before upload.
Finished when
Assets are uploaded and the CMS state read back.
Common workflow

Seasonal refresh

Trigger
A new season or campaign calendar is approved.
Crosses
Calendar, brand rules, prior approved assets and the scheduler.
System role
Reuses the tuned pipeline to produce the refresh set.
Human gate
Marketing approves the set and any copy claims.
Finished when
The approved set is scheduled or delivered.

Useful because the limits are explicit.

Reads
Brand guide, approved references, briefs and format requirements.
Prepares
Style definitions, variations per channel and copy drafts with their references attached.
Does
Generation and packaging. Delivery only after review.
Escalates
Ambiguous brand rules, product accuracy questions, claims in copy and anything the reviewer rejects.
Connections

Built inside the tools you already run.

The install connects to the CRM, inbox, project tool, finance system and documents that carry the work today. Every connection proves a read, a scoped write and a readback before it goes live.

See how a connection is provenMarks identify the software these systems connect to. No endorsement or partnership implied.

Connected to the stack. Governed at the action.

Delivered assets, the style definition and the review records belong to the client. The pipeline and tooling arrangement are written into the agreement.

Common surfaces

  • Brand guide and references
  • Image and language models
  • Asset storage
  • CMS
  • Scheduler
  • Review queue

Control rules

  • Every asset reviewed by a person against the guide
  • Rejections regenerated, never delivered
  • Claims in copy checked before publication
  • Review record kept per asset
  • No publishing from the pipeline without approval

Rollout

How it reaches production.

Nothing acts on real records until it has been right under review. Authority is granted per action class and stays visible.

  1. 01

    Brand analysis

    Guide, references and the formats you need. We write the style definition.

    Style definition
  2. 02

    Style tuning

    The pipeline is tuned and tested on a small set you review.

    First review set
  3. 03

    First campaign

    Variations per channel, reviewed and delivered with records.

    Human reviewed
  4. 04

    Run per campaign

    New briefs reuse the pipeline. Review stays on every asset.

    Reusable

After launch

Review feeds the tuning

Every rejection is logged with its reason. Those reasons tighten the style definition and the pipeline so the same miss does not come back.

  1. 1Generate
  2. 2Review
  3. 3Reject with reason
  4. 4Tune
  5. 5Regenerate

Back to the start: the pipeline gets closer to the brand each cycle.

Relevant proof

Outproduce-owned private build

AI Production Operation

Private systems show source intake, approved context, model runs, quality gates, human review, cost state and delivery routing for AI-produced content.

The first useful answer is a system shape, not a speculative quote.

  • Number of brand looks
  • Formats and channels
  • Volume per campaign
  • Product accuracy requirements
  • Copy and claims review
  • Delivery destinations
  • Review turnaround
  • Ongoing production arrangement
Use the system scope tool

Related

Before a Fit Review.

How much faster is this than a shoot?

A tuned pipeline turns a brief into a reviewed set in hours. A shoot needs planning, booking, travel and post-production, so it is measured in weeks. We do not publish production times until we have measured them on your brand.

Will the images look generic?

The pipeline is tuned on your own references, so it learns your colours, lighting and composition rather than a generic style. A person also reviews every asset and rejects anything that looks off before you see it.

How does brand matching work?

We analyse your visual identity, write it down as a style definition, tune the pipeline on it, generate inside those limits and review against your guide. The definition is yours to keep.

Is AI-generated content safe for advertising?

It can be, with controls. We set limits for style, tone, subject matter and claims, a person checks every asset against your guidelines, and the review record says who checked what. Legal and platform rules for disclosure are yours to confirm.

Do you replace our photographers?

No. The pipeline covers the volume work between shoots: variations, formats, seasonal refreshes. Hero shoots and product photography remain yours to commission.

Start here

Show us the workflow.

Tell us what starts it, who owns the result, which tools carry it, and where it stalls. We will tell you whether it is ready to map.

Strong fit

The workflow repeats

One person owns the result

The records exist

Several tools carry the work