Managed AI video production workbench

For

In-house creative teams and small studios producing video content

Solves

Video work is split across several rented generation tools, so prompts, assets, edits and approvals live in different places and nothing is owned end to end.

Delivers

Reviewed, brand-consistent video cuts linked to a named approver

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$13,000 for the MVP, $44,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool sprawl and review cycles while keeping the team's own style and assets.

1. Generate video clips from written prompts.
2. Animate supplied still images into moving video.
3. Export high-resolution output up to 4K.
4. Apply pre-made templates for recurring video styles.
5. Automate trimming, transitions and effects.
6. Generate in selected visual styles such as hyperrealistic or anime.
7. Set camera angles and shot types such as wide, POV or drone.
8. Reproduce natural motion and human expressions.
9. Produce extended clips several minutes long.
10. Generate and sync voice and background music.
11. Maintain scene continuity and smooth transitions across a narrative.
12. Edit through conversational commands.
13. Track objects and keep coherence across frames.
14. Pull stock images and clips from an integrated library.
15. Route generation across multiple AI engines per style.
16. Support real-time team collaboration on projects.
17. Export in multiple formats and resolutions.
18. Capture corrections and named-owner approval before consequential use.
19. Export a versioned reviewed, brand-consistent video cut linked to a named approver with source references and unresolved questions.

Everything these tools do, in one app

• Text-to-Video Generation Turn written prompts into video clips.Found in Dream Machine by Luma AI, Google Veo 2, Video Ocean and 5 more
• Image-to-Video Animation Animate still images into moving video.Found in Dream Machine by Luma AI, JEO, Vidu and 1 more
• High-Resolution Output Export videos in high definition, up to 4K.Found in Google Veo 2, JEO, Vidu and 2 more
• Customizable Templates Use pre-made templates for different video styles and purposes.Found in Video Ocean, Vidu
• AI Video Editing Automate editing tasks like trimming, transitions, and effects.Found in Video Ocean, Gemini Omni
• Multiple Visual Styles Generate videos in various artistic styles, such as hyperrealistic or anime.Found in Moonvalley, Vidu
• Camera Controls Specify camera angles and shot types like wide, POV, or drone.Found in Google Veo 2
• Realistic Physics and Expressions Recreate natural motion and human expressions accurately.Found in Google Veo 2, Veo 3.1
• Extended Video Length Generate videos several minutes long.Found in Google Veo 2
• Integrated Audio Generate and sync voice and background music.Found in Veo 3.1
• Narrative-Aware Generation Maintain scene continuity and smooth transitions for storytelling.Found in Veo 3.1, Gemini Omni
• Natural-Language Editing Edit videos using conversational commands.Found in Gemini Omni
• Temporal Consistency Track objects and maintain coherence across frames.Found in Gemini Omni
• Stock Media Integration Access stock images and clips directly.Found in Video Ocean
• Multi-Engine Support Use multiple AI engines for different video styles.Found in JEO
• Collaboration Features Work on projects with team members in real time.Found in Pollo.ai, Haiper
• Export Options Export videos in multiple formats and resolutions.Found in Video Ocean, JEO, Vidu and 1 more

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed footage, brand assets, written briefs and approved style references

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed footage

4. 3

   Brand assets

5. 4

   Written briefs and approved style references

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed, brand-consistent video cuts linked to a named approver

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 fixed output specification and licensed asset set; final brand, rights and narrative checks remain editorial. 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 reviewed, brand-consistent video cuts linked to a named approver 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

Brand-owned footage, authorized interviews and permitted stock 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.

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 video clips from written prompts; animate supplied still images into moving video. 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 in-house creative teams and small studios producing video content use it to solve "video work is split across several rented generation tools, so prompts, assets, edits and approvals live in different places and nothing is owned end to end"?
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: Accepted cuts per creative hour and corrections after approval.
4. Measure, then decide. Track accepted cuts per creative hour and corrections after 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 fixed output specification and licensed asset set; final brand, rights and narrative checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: generate video clips from written prompts; animate supplied still images into moving video. Support the remaining modules with operator review: apply pre-made templates; automate trimming, transitions and effects; generate and sync voice and background music; maintain scene continuity. 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 reviewed, brand-consistent video cuts linked to a named approver. Retain the explicit scope boundary: One fixed output specification and licensed asset set; final brand, rights and narrative checks remain editorial.

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 fixed output specification and licensed asset set; final brand, rights and narrative checks remain editorial.

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

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.

Your brand, or this one

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

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 reviewed, brand-consistent video cut linked to a named approver. 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 the team's own style and assets. Demonstrate a concrete reviewed, brand-consistent video cut linked to a named approver using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

In-house creative teams and small studios producing video content professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed, brand-consistent video cut linked to a named approver from a small authorized input set, with a transparent calculation of accepted cuts per creative hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five in-house creative teams and small studios producing video content and inspect a recent example of video work split across several rented generation tools.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted cuts per creative hour and corrections after 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: Accepted cuts per creative hour and corrections after 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

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

Retention and expansion

Repeat the workflow when the buyer again needs reviewed, brand-consistent video cuts linked to a named approver. 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, brand 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 in-house creative teams and small studios producing video content. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Pollo.ai, Haiper, Dream Machine by Luma AI, Google Veo 2, Video Ocean, JEO, Vidu, Moonvalley, Veo 3.1 and Gemini Omni, plus freelancers and creative agencies. Compare this product with the buyer's present method on accepted cuts per creative hour and corrections after 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 reviewed, brand-consistent video cuts linked to a named approver. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, likeness accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One fixed output specification and licensed asset set; final brand, rights and narrative checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.