An AI content agency produces brand content with generative tools and puts people in charge of what gets made and what gets published. Alpina Production is a video studio, animation first, so the AI work sits inside a normal production pipeline: script, storyboard, art direction, animation, sound, review. This page describes how that pipeline works for AI assisted video, photo and animation, where it fits and where it does not.
What an AI creative studio actually delivers
Generative tools make assets quickly. A brand needs more than assets: it needs content that looks like the brand, says what the brand can legally say, and arrives in the formats the channels need. An AI creative studio is the layer that turns raw generation into usable content.
Typical deliverables:
- Brand and product video: short films, ads, social cuts and explainers, with AI used for backgrounds, variants, motion tests or extra formats. See AI video production for the video side in detail.
- Photo and image sets: product scenes, campaign visuals and retouching, built from real product photos where accuracy matters. See AI product photography.
- Animation and motion design: 2D and motion graphics made by animators, with AI used for concept frames, storyboards and cleanup rather than as a replacement for craft.
- Ad creative variants: structured sets for testing, covered in AI ad creatives.
- Voice, music and localization: AI voice or music only where licences allow commercial use, and always checked by ear.
The production pipeline
A professional AI content production service runs in stages, and each stage ends with a person deciding whether to continue.
- Brief and brand intake. Goals, audience, channels, formats, brand guidelines, existing assets, legal constraints. Gaps in the brand rules are found here, not after the first render.
- Concept and script. Writers and directors set the idea. AI may help explore options, but a person chooses and edits.
- Storyboard and style frames. Reference images and a fixed visual style are agreed before volume production starts. This is the main tool for brand consistency.
- Production. Generation, animation, shooting or a mix, depending on the brief. Real product photos and brand assets are used as fixed inputs.
- Finishing. Retouching, compositing, sound design, colour, captions, format versions.
- Review and release. Checks against the brand rules, product accuracy, rights and platform requirements, then client approval.
Human art direction and review gates
Generative models produce plausible results, not verified ones. A product can have a wrong button, a face can drift between shots, a headline can contain a typo. The fix is a process with named checkpoints.
| Gate | What is checked | Who decides |
|---|---|---|
| Style approval | Look, palette, characters, tone against brand rules | Art director and client |
| Mid production | Product accuracy, continuity between shots, text and logo correctness | Producer and art director |
| Pre release | Rights record, platform rules, legal wording, technical specs | Producer and client |
The depth of each gate scales with the stakes. A social test variant needs a lighter check than a national campaign film. For the checklists and failure modes, read AI content quality control.
Brand consistency
Consistency is a production problem, not a prompting trick. What helps in practice:
- A written brand sheet that a reviewer can check an asset against: colours, type, logo clear space, tone, forbidden looks.
- Approved reference frames and characters that stay fixed through the project.
- Real brand assets as inputs: logos, packaging, product photos, rather than asking a model to recreate them.
- One art director who sees every asset before it leaves the studio.
Rights and disclosure
Rights around AI outputs depend on the tool, its licence terms and the law of the country, and the legal position is still developing. A careful studio keeps a record of tools and licences used per asset, avoids tools whose terms do not allow commercial use, does not imitate living artists or protected characters, and flags synthetic people or altered footage where platforms or regulators expect a label. This page is not legal advice, and your own counsel should confirm the position for your market.
What is a fit and what is not
AI assisted production tends to fit when:
- you need many variants or formats of an existing idea;
- you need concept frames, previews or animatics early, before committing to a full production;
- the content is short lived, such as social and testing assets;
- you have clear brand rules and a product that can be supplied as real photos.
It tends not to fit when:
- the content must show a real product, real people or a real place with documentary accuracy;
- the brand depends on a distinctive hand crafted illustration or animation style, where a studio animator is the better choice, as in corporate video or 2D work;
- you need guaranteed exclusive rights with no tool licence questions;
- there is no time or person on your side to review and approve.
In many projects the answer is a mix, and the studio recommends the method per brief.
What affects the price
Pricing is by brief. The main drivers are the number of deliverables and formats, the length of video, how much custom art direction and animation is needed, the number of revision rounds, and how deep the review and rights documentation must be. Tool subscriptions are a small part of the cost, since the work is mostly people. See how we approach pricing and, to measure the return, AI content ROI.
How to start
Send a short brief: what you need to make, where it will run, what brand material exists and when it is due. The studio replies with a recommended method, a plan and a quote. You can reach us through the contact page.