How to Commission an AI Video Production: A Complete Guide for Brands

October 30, 2026

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You have an idea, a campaign brief, or a product that needs to move. The question is no longer whether AI can generate video — it can — but how to turn that capability into a finished piece that looks intentional, stays on-brand and serves a commercial purpose.

Commissioning an AI video production means hiring a specialist production team to manage creative direction, visual development, AI generation, iteration, editing and finishing. The aim is to receive a coherent, professionally finished video rather than a collection of raw AI-generated clips.

This guide walks through the commissioning process from the client’s perspective. It explains what professional AI video production involves, when it makes sense for a brand, what to prepare, how the stages typically unfold, realistic time and cost expectations in 2026, how to evaluate production partners and what should happen after delivery.

What Is an AI Video Production?

An AI video production is a professionally directed project that uses generative AI models to create some or most of its visual material, often alongside traditional filming, animation and post-production. The resulting footage is then selected, edited, refined, sound-designed and delivered as a finished video.

It is not the same as typing a single prompt into a consumer tool and accepting the first result.

A professional production company or specialist studio takes your brief and turns it into a structured workflow: concept and narrative development, script or shot list, visual references and style frames, controlled generation and selection of takes, editing, sound, colour and delivery in the required formats.

Human judgement remains central at every major decision point: what the video should communicate, how it should look, which generated shots are suitable, how the story is assembled and whether the final edit meets the brand’s creative and commercial requirements.

The output can range from short social adverts and product loops to longer brand films, promotional videos and music-video-style productions. The common thread is directed creative development and selective iteration rather than pure automation.

Tools such as Google’s Veo, Kling, Seedance, Runway and other generative video platforms provide the underlying technology. The production partner provides the creative process and filmmaking expertise that turn those capabilities into something coherent and usable. The available models and their commercial terms change frequently, so the choice of tool should be based on the needs of the individual project rather than loyalty to one platform.

When Should a Brand Use AI Video?

AI video production is particularly useful when a brief benefits from creative experimentation, multiple versions, distinctive visual styles or scenes that would be expensive or impractical to film conventionally.

It can be a strong option for:

High-volume or multi-variant campaigns: Multiple hooks, cutdowns, aspect ratios, language versions or creative variations.
Product-focused and atmospheric videos: Visual treatments where exact human performance is not the central idea.
Conceptual or stylised scenes: Imaginary environments, unusual characters and visual worlds that would otherwise require extensive sets or visual effects.
Creative testing: Exploring different visual directions before committing to a larger traditional production.
Ongoing social and advertising content: Campaigns that need regular creative refreshes and variations.

AI video may be less suitable when a project depends on subtle, specific human performance, exact physical product behaviour or footage that must be treated as evidence of a real event. Copyright, likeness and disclosure requirements also need consideration before production begins.

Many brands benefit from a hybrid approach: traditional production for a hero film that carries the central campaign idea, with AI-generated material used for supporting social content, variations, additional environments or visual effects.

If the objective is to create more content, explore distinctive visual ideas or produce campaign variations without organising a full traditional shoot for every asset, AI video can be a practical route. If the project depends on a highly specific performance or precise real-world product demonstration, traditional filming or a carefully planned hybrid production may be the better choice.

What Should You Prepare Before Approaching a Production Company?

A clear brief reduces unnecessary iteration and helps a production partner provide a realistic proposal and quotation.

Before the first conversation, try to gather the following:

Objective and audience: What should the viewer think, feel or do after watching? Who is the intended audience, and where will the video appear?
Core message and call to action: Identify the one primary idea the video needs to communicate.
Mandatory elements: Logos, product shots, legal disclaimers, brand colours, fonts or existing footage that must be included.
Visual references: Links or files showing the visual tone, pacing, camera movement or style you like — and examples of what you want to avoid. Explain what each reference is intended to demonstrate.
Formats and lengths: Target duration, aspect ratios such as 16:9, 9:16 or 1:1, and any required cutdowns or alternative versions.
Budget and deadline: Even an approximate budget range helps the production team recommend a realistic approach.
Rights and disclosure requirements: Intended territories, usage period, paid advertising requirements and any known AI disclosure obligations.

You do not need to arrive with a finished script or storyboard. These are often developed collaboratively with the production team. You do, however, need enough strategic clarity for the team to propose a creative direction rather than guess what you have in mind.

For a more detailed commissioning checklist covering the brief, contract, AI tools, rights and disclosure, see Nigel Camp’s guide, How to Commission AI-Assisted Video Safely: The Brief, the Contract and the Checklist.

How Does the Commissioning Process Work?

Professional AI video productions generally follow a sequence of stages, with approval points along the way. The exact workflow varies according to the brief, but the underlying process is similar.

Concept and Creative Development

The process begins with a discovery conversation or review of the brief. The production team translates your objectives into a creative approach, establishing the narrative angle, visual world, tone and key moments.

This stage may produce a creative treatment or presentation outlining the concept, proposed structure and visual direction.

Agreeing the concept before extensive generation begins is important. It gives everyone a shared understanding of what the video is intended to achieve and reduces the risk of spending time developing the wrong idea.

Script, Storyboard and Visual Development

Once the concept is approved, the team develops a script, storyboard or shot list and establishes the visual references.

Style frames, character references, product references and key still images may be created and approved before full video generation begins.

This stage is particularly important for visual consistency. A production may establish the appearance of a character, environment, product or lighting style through approved still images, which can then be used as references for image-to-video generation.

The more complex the visual concept, the more valuable this preparation becomes.

Choosing the Right AI Production Workflow

Different shots can require different techniques.

A talking-head or product-interaction shot may benefit from image-to-video generation using carefully controlled reference images. Atmospheric wide shots may be developed through text-to-video generation. Product accuracy may require real product photography or footage combined with AI-generated environments.

A good production partner selects the model and workflow according to the requirements of each shot rather than forcing the entire project through one tool.

The best approach may combine several AI platforms with conventional editing, compositing, animation, sound recording or live-action footage.

AI Generation and Iteration

AI generation produces alternative versions of individual shots. Professional teams expect to generate, review and refine multiple takes before selecting the material that meets the brief.

There is no universal ratio of generations to usable shots. It depends on the model, the subject, the complexity of the movement and the quality standard. For example, VANTA’s October 2026 production-cost guide reports that a usable eight-second shot may take five to ten generations on a good day, and considerably more when a shot is difficult.

The team reviews each take for continuity, visual quality, product accuracy, brand suitability and technical problems. Changes are made deliberately so that the project develops towards an approved result rather than becoming an endless sequence of unrelated prompts.

Editing, Sound and Finishing

Once the selected shots are ready, they are assembled into a rough cut. The production then moves into editing and refinement.

This may include:

Colour grading and visual matching.
Sound design and audio effects.
Music selection or licensing.
Voiceover, dialogue and synchronisation.
Titles, graphics and captions.
Compositing and visual effects.
Cutdowns and alternative aspect ratios.

The final review should cover both creative quality and practical requirements, including music and likeness rights, disclosure considerations and platform specifications.

Each major stage should have a defined approval point. Clear approvals help keep the project on schedule and prevent open-ended revision cycles.

How Long Does an AI Video Take?

AI video production can be quicker than a traditional crew-based shoot, but the timeline still depends on the complexity of the project, the amount of visual development and the number of review rounds.

As an indication, VANTA’s October 2026 production guide gives the following studio lead times:

AI UGC packs: Approximately 5–10 working days.
Product video sets: Approximately 7–12 working days.
Scripted 30–60-second hero spots: Approximately 3–6 weeks.

These are examples from one production studio, not guaranteed industry-wide timelines. A simple, tightly scoped project may be completed more quickly, while a complex production involving recurring characters, detailed product requirements, multiple languages or several stakeholder approvals may take longer.

Individual AI-generated clips can render in minutes, depending on the model, duration and resolution. However, generation is only one part of the process. Creative development, reference preparation, reviewing takes, editing, sound, finishing and client approvals account for much of the overall production time.

Rush projects may be possible when the brief and references are already clear, but they usually require a tighter scope, quicker approvals or additional production resources.

How Much Does AI Video Production Cost?

Professional AI video production pricing in 2026 is generally lower than comparable traditional productions that require crews, locations, sets and extensive filming days. However, it is considerably more involved than simply paying for access to an AI video generator.

VANTA’s October 2026 studio pricing guide gives the following indicative ranges:

Type of production	Indicative studio price
AI UGC-style pack of several short vertical clips	€2,500–€8,000
Product video set with short motion loops and stills	€3,000–€10,000
Scripted 30–60-second hero or brand spot	€8,000–€30,000

These are published examples from one studio, not fixed market rates or a quotation for every project. The final budget depends on the creative concept, number of shots, complexity, production requirements and delivery scope.

Raw AI generation costs are much lower. Published model-price comparisons in October 2026 show approximate rates of $0.03–$0.60 per second of generated footage, depending on the model, resolution and audio requirements. The AI Video Generation Cost in 2026 guide from AI Implementation Consultants and KitCut’s model-by-model AI video generator pricing comparison provide examples of how these costs vary.

The generation fee is only one part of the budget. A professional production quotation also covers creative direction, visual development, prompt and reference management, selection of takes, editing, sound, rights handling and project management.

VANTA’s analysis of what AI video costs in 2026 explains why the human work involved in direction, iteration and quality control often represents a much larger share of the final production cost than the AI generation itself.

Factors that can increase the budget include:

The length of the finished video.
The number of distinct shots, scenes and characters.
The level of character or product consistency required.
Detailed product geometry, packaging or text accuracy.
Complex movement, dialogue or lip-sync.
The number of formats, cutdowns and language versions.
Music licensing and voice talent.
The number of formal revision rounds.
Tight deadlines or additional usage requirements.

For a more detailed breakdown of the factors that affect project budgets, see our guide, The Real Cost of AI Video Production in 2026.

What Information Should You Give a Production Company?

Beyond the initial creative brief, the following information helps the production team plan the project efficiently:

Brand guidelines and existing visual identity.
Product or packaging assets, including high-resolution photographs, 3D models or previous footage.
Legal requirements and product claims that must be accurate.
Preferred voice style, music references or existing audio.
The stakeholder list and the person with final approval authority.
Previous AI or traditional video work that establishes the expected visual standard.
Intended platforms, territories and whether the video will be used in paid advertising.

The clearer the constraints and success criteria, the more efficiently the production team can work within them.

It is also important to establish how client material will be handled when uploaded to AI platforms. Unreleased products, scripts, internal footage and confidential brand assets should not be uploaded without an agreed understanding of the relevant tool’s terms, data retention and training policies.

Ownership of an AI commercial also needs to be addressed in the production contract. PHOCUS’s guide to AI commercial rights, intellectual property and brand safety explains why the contract should distinguish between the finished film, generated elements, third-party assets and the rights the client receives.

How to Evaluate AI Video Production Companies

Look beyond lists of AI tools and focus on the production company’s creative process, completed work and responsibility for the final result.

Strong signs include:

A portfolio of completed commercial work: Look for finished brand or campaign videos, not only experimental AI clips.
A clear production workflow: The team should be able to explain how it develops the concept, establishes the visual direction and maintains consistency.
Human creative leadership: You should know who is responsible for directing, reviewing and approving the work.
Honest limitations: A good partner should explain what AI can achieve reliably and when traditional filming or a hybrid approach would be more appropriate.
Transparent rights and disclosure practices: The team should be able to discuss commercial-use terms, likeness permissions, music licensing and relevant platform requirements.
A defined revision process: Look for clear approval stages and an agreed number of revision rounds rather than unlimited regeneration.

For a large or recurring project, consider requesting a short proof of concept using a representative difficult shot. This can help establish whether the production partner can manage the visual consistency, product accuracy or movement requirements before the full project begins.

Questions to Ask Before Commissioning

Before agreeing to a production, consider asking:

How do you approach concept development, and what will I approve before generation starts?
How do you maintain character, product and visual consistency across multiple shots?
Which AI models and techniques do you use, and how do you choose between them?
What is included in the quotation, and what would incur additional costs?
Are cutdowns, extra formats, music licensing and additional revisions included?
How do you handle rights for generated material, music, voices and real people’s likenesses?
What documentation will I receive at delivery?
What disclosure or labelling may be required for the intended platforms and territories?
How many formal review rounds are included?
What is the expected timeline, and what could cause delays?
Can you show recent completed work with similar creative or technical requirements?

Clear answers about the process, rights and delivery are more valuable than claims about using the latest AI model. Confirming commercial-use terms, likeness permissions and disclosure responsibilities before generation begins helps avoid problems later.

What Happens After Delivery?

Delivery should include the final master video in the agreed format and resolution, together with any required cutdowns, alternative aspect ratios, captions or subtitle files.

Depending on the contract, the production company may also provide project files, selected stills, audio stems, rights documentation and a record of which parts of the video were captured, generated or altered.

The client remains responsible for ensuring that the finished asset is uploaded in accordance with the relevant platform requirements and that any necessary advertising disclosures are applied.

Many brands use the delivered video as the basis for further cutdowns, creative testing or campaign variations. A well-organised production makes these future adaptations easier.

After publication, measure the video against the original campaign objective — whether that is engagement, conversions, brand awareness or another KPI — rather than judging it only on its technical quality. The results can then inform the next creative brief.

If a video will be distributed internationally, check the relevant platform rules and regional transparency requirements before publication. These can differ depending on the content, the territory and whether the video is organic or paid advertising.

Turning Your Idea into a Finished AI Video

Commissioning an AI video production is ultimately a creative and commercial partnership. Generative technology has made it possible to create moving images and visual worlds in new ways, but the value of a professional production still comes from clear creative intent, disciplined visual development, selective iteration and skilled finishing.

Brands that prepare a focused brief, choose a production partner with a transparent process and treat AI as part of a directed production workflow are more likely to receive a finished video that serves the campaign rather than simply demonstrates the technology.

If you are considering an AI video for a brand, product, campaign or creative project, explore ARTtouchesART’s AI video production services to see how concept development, AI generation and professional post-production can be brought together in one production.

FAQ

What is the difference between AI video generation and AI video production?

AI video generation is the technical process of creating clips from prompts, images or other references. AI video production is the complete directed process, including concept development, visual planning, generation, selection, editing, sound, finishing and delivery of a usable video.

Can I own the rights to an AI-produced video?

Ownership depends on the applicable law, the production contract and the terms of the AI tools used. Copyright protection for material generated entirely by AI is limited or uncertain in several jurisdictions. The UK has specific provisions for computer-generated works, but how these apply to modern generative AI is not straightforward. In the United States, purely AI-generated material is generally not protected by copyright, although human-authored contributions may be.

A contract should clearly state which rights are assigned or licensed to the client, the permitted uses, the territories and the duration. It should also distinguish between the finished film, generated material, music, footage, performances and other third-party assets.

Do I need to disclose that a video was made with AI?

Disclosure requirements vary according to the platform, territory and nature of the content.

YouTube, TikTok and Meta have their own rules for realistic AI-generated or significantly altered content. The EU AI Act also introduces transparency obligations for providers of generative AI systems and for certain content published by deployers, including deepfakes.

A production partner should help identify the relevant requirements and agree who is responsible for applying disclosures before the video is published.

How many revision rounds should I expect?

A professional production scope should define the number of formal review rounds. Two creative review rounds followed by a final sign-off can be a useful starting structure, although the appropriate number depends on the project.

A revision round should normally consist of one consolidated set of feedback from the nominated client representative. Changes to an already approved concept or brief may need to be treated as additional work.

Is AI video production suitable for accurate product demonstrations?

It can be suitable for certain product-focused videos, particularly when detailed reference images, real product footage or hybrid techniques are used.

However, AI-generated material can introduce inaccuracies in packaging, logos, product proportions, text and physical interactions. Where exact product behaviour or appearance is essential, real footage combined with AI-generated environments or visual elements may be the safer approach.

Can an AI video production company work with an international client?

Yes. Creative development, visual references, approvals and many production stages can be managed remotely. The client and production company should agree on communication, review points, file delivery, time zones and the intended distribution territories at the start.

ARTtouchesART is based in London and works with clients in the UK and internationally. Read more about AI video production and remote collaboration.

References

The following sources provide further information on AI video production costs, commissioning, intellectual property, platform policies and regulatory requirements. Pricing and platform policies can change, so check the original sources again before relying on them for a new project.