Screenshot of the Managed visual generation and review studio interactive demo
Screenshot of the interactive demo, on sample data

Managed visual generation and review studio

Reduce tool sprawl and review cycles while keeping one owned visual workflow.

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For
Creative teams and independent creators producing campaign and social visuals
Solves
Visual production is split across several rented generation tools, so assets, styles, rights and review states live in different places.
Delivers
Reviewer-approved image and video assets linked to campaign briefs
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$14,500 for the MVP, $49,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl and review cycles while keeping one owned visual workflow.

  1. Generate images from text descriptions.
  2. Generate videos from text prompts.
  3. Animate supplied still images into short videos.
  4. Edit and customize generated images.
  5. Apply approved style and filter presets.
  6. Interpret complex multi-part prompts.
  7. Synchronize lip movements in talking-head clips.
  8. Animate characters with approved filters.
  9. Select from a managed model library.
  10. Expose generation through an API.
  11. Route heavy jobs to faster processing.
  12. Apply the buyer's creator license terms.
  13. Upscale approved images.
  14. Apply the buyer's content policy settings.
  15. Reconstruct 3D face and body references.
  16. Automate repeatable editing tasks.
  17. Remove backgrounds in one step.
  18. Erase unwanted elements.
  19. Convert landscape video to portrait.
  20. Embed traceable watermarks.
  21. Share approved work in a private showcase.
  22. Select approved characters, activities and locations.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Licensed reference assets
  • Brand rules
  • Prompts
  • Usage permissions

AI drafts, people review. Visual production platform with managed creative review.

What the customer gets
  • Reviewer-approved image
  • Video assets linked to campaign briefs
02

How it works

The workflow

  1. In
    Start with

    Licensed reference assets, brand rules, prompts and usage permissions

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect licensed reference assets

  4. 3

    Brand rules

  5. 4

    Prompts and usage permissions

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewer-approved image and video assets linked to campaign briefs

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved brand style set and licensed reference library; final creative direction and rights checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Creative brief and references, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewer-approved image and video assets linked to campaign briefs visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Buyer-owned asset libraries, brand guideline documents and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    7 days

    One buyer segment, one recurring use case; first modules: generate images from text descriptions; generate videos from text prompts. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will creative teams and independent creators producing campaign and social visuals use it to solve "visual production is split across several rented generation tools, so assets, styles, rights and review states live in different places"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Approved assets per production hour and corrections after creative approval.
  4. Measure, then decide. Track approved assets per production hour and corrections after creative approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved brand style set and licensed reference library; final creative direction and rights checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate images from text descriptions; generate videos from text prompts. Support the third module with operator review: animate supplied still images into short videos. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved image and video assets linked to campaign briefs. Retain the explicit scope boundary: One approved brand style set and licensed reference library; final creative direction and rights checks remain human.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved brand style set and licensed reference library; final creative direction and rights checks remain human.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: generate images from text descriptions; generate videos from text prompts. Manual review in the loop.

    $14,500 · about 7 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $14,500 · about 8 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $20,500 · about 3 weeks of creation time

Indicative total, MVP to full product$49,500about 6 weeks of creation time · start with the MVP from $14,500

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$40–$80$150–$310$190–$390
Full productabout 50 customers$160–$320$2,100–$4,200$2,260–$4,520
05

Run it or resell it

Internally

For your own team

Creative teams and independent creators producing campaign and social visuals run it inside the business: licensed reference assets, brand rules, prompts and usage permissions in, reviewer-approved image and video assets linked to campaign briefs out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#915827
  • accent#5489c9
  • surface#f1eae4
  • ink#22201e
Headings
Archivo
Text
Lora
Voice
Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved image and video assets linked to campaign briefs. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool sprawl and review cycles while keeping one owned visual workflow. Demonstrate a concrete reviewer-approved image and video assets linked to campaign briefs using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Creative teams and independent creators producing campaign and social visuals professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewer-approved image and video assets linked to campaign briefs from a small authorized input set, with a transparent calculation of approved assets per production hour and corrections after creative approval and no promised savings.

The first 30 days

  1. Week 1: interview five creative teams and independent creators producing campaign and social visuals and inspect a recent example of visual production split across several rented generation tools, so assets, styles, rights and review states live in different places.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure approved assets per production hour and corrections after creative approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Approved assets per production hour and corrections after creative approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Approved assets per production hour and corrections after creative approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewer-approved image and video assets linked to campaign briefs. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved styles, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for creative teams and independent creators producing campaign and social visuals. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

DomoAI, KLING AI, Runware, Pirate Diffusion, Kling 1.6, Seede AI, Google Imagen 3, Chromox, ARTi and Haiper 2.0, plus freelancers, creative agencies and generic generation tools. Compare this product with the buyer's present method on approved assets per production hour and corrections after creative approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, video or image processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewer-approved image and video assets linked to campaign briefs. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, likeness permissions and usage rights. Buyers approve substantive changes and publication scope. One approved brand style set and licensed reference library; final creative direction and rights checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 7 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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