--- title: "AI videos for the company: professional instead of arbitrary" description: "How companies produce AI videos that fit the brand: company profile, reviews, and fixed prices instead of prompt experiments." type: "wissen" product: "studio" slug: "ki-video-erstellen-unternehmen" source_language: "de" target_languages: ["de", "en", "es", "pl", "tr"] published: "2026-06-10" status: "publish" faq_json: [{"q":"What do companies use AI videos for?","a":"Typical fields of application are product and service presentations, advertising clips for campaigns and social media, recruiting videos, and regular content for their own channels."}, {"q":"How does AI video in a company differ from a private experiment?","a":"In a company, brand consistency, content approvals, and predictable costs matter. You need a process with review points – not just a tool that delivers clips from prompts."}, {"q":"How does the brand stay consistent across many videos?","a":"Through centrally maintained brand data: in webRichtung studio you store companies, brands, colors, and approved statements in the company profile – productions automatically access them."}, {"q":"Who controls what gets published?","a":"You: scripts and corporate productions go through reviews with clear review points. Before things move on, you take a look and approve – the AI produces, the quality stays in your hands."}, {"q":"How does a company calculate the costs for AI videos?","a":"Most easily with fixed prices per production: in studio you see the Credit price before the start (1 Credit = 1 euro net). Account and users cost 0 euros, and there is no subscription."}] language: "en" source_id: "wissen/ki-video-erstellen-unternehmen" source_hash: "e378d67275ad5ebe884977b41fb4eae16aed67cf2794cf6229ff78acd88f0b7a" --- AI videos in a company are a different discipline than the private prompt experiment: it's not about producing just any video, but about producing the right one – brand-compliant, content-approved, and at calculable costs. For this you need less of another tool and more of a production process: central brand data, guided workflows, and review points before publication. ## Why "just generating something" fails in a company Generic video tools deliver impressive one-off pieces in response to text input – and that's exactly the problem: one-off pieces. Every video looks different, the company colors are missing, statements are phrased one way or another, and nobody has systematically checked what goes out. For a brand, arbitrariness is more expensive than no video at all. The solution isn't less AI, but more structure around it. ## Three building blocks for professional AI videos 1. **Central brand data:** Companies, brands, colors, and approved statements are maintained once rather than reinvented for each video. In [webRichtung studio](https://www.webrichtung.de/module/studio/) this lives in the company profile – every production draws on it. 2. **Guided productions:** Instead of an empty timeline, you start with the question "What would you like to create?" – business video, advertising clip, YouTube video, or a production with a recognizable AI character. The studio then only asks for what's needed for that result. 3. **Reviews before publication:** Scripts and corporate productions contain deliberate review points. Before things move on, you take a look and approve – so quality stays in your hands, even when the AI does the production. ## Typical use cases - **Product and service presentation:** explaining what you offer – as a scalable format instead of a one-time shoot day - **Advertising clips:** short clips made from an offer, text, and existing assets for campaigns and social media - **Recruiting:** making positions and the employer visible, as described in the article [AI video in recruiting](/en/wissen/ki-video-recruiting.html) - **Own channels:** regular content for YouTube and social media, without every video being a project The common denominator: recurring demand. That's exactly where the structured AI process beats classic production – not with the one big image film, but with the twentieth product video. ## Costs a controller understands AI video in a company has to be budgetable. That's why in studio there's no subscription base: account and users cost 0 euros, and every production shows **its fixed Credit price before the start** (1 Credit = 1 euro net). So you can decide per video and budget per campaign – consumption is shown in the wallet, not in an estimate. ## How to introduce it Choose a use case with recurring demand, produce the first two or three videos via the guided workflow, and establish the review approval as a fixed step – for example through marketing or management. In parallel, maintain the company profile: stored approved statements make future productions faster and safer. Success becomes measurable through comparison: what has a comparable video cost so far – in agency budget or internal time – and what does the AI format achieve in the same use? This calculation turns out differently depending on the use case, but belongs to any serious introduction.