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AI Use Case

AI-Generated Explainer Videos / Avatar Videos

Creates product, training and instructional videos from approved scripts, with AI presenters and localised versions for different markets and languages.

Producing product explanation videos for several countries traditionally requires separate speakers, filming and post-production for each market. This makes localisation expensive and limits how many products, topics and languages can be covered.

AI avatar platforms create presenter videos directly from a script. Communications teams can produce one master version, translate it and generate localised versions for different countries and languages without organising a new video production for every market.

The approach is particularly useful for recurring explanatory content, such as product information, instructions, training or customer education. Local experts should still review the terminology, pronunciation and factual accuracy of every version before publication.

Painpoints

Separate local video productions are expensive
Every language version requires additional coordination
Employees or external presenters are not always available
Updating existing videos often requires new filming
Smaller markets may not justify a dedicated production
Product terminology can be translated inconsistently
Traditional localisation takes too long
Communications teams depend on agencies or production companies

Goals

Produce multilingual videos more quickly
Reduce production and localisation costs
Create local versions without filming in every market
Explain products consistently across countries
Make updates without repeating the complete production
Increase the amount of useful video content
Enable more production directly within the communications team
Maintain local review and approval

Risks

Translations may be linguistically correct but unsuitable for the local market
Product terminology or instructions may be translated incorrectly
Names and specialist terms may be mispronounced
Synthetic presenters may appear unnatural or reduce trust
Audiences may mistake an avatar for a real person
AI-generated content may require disclosure under applicable rules
Product or safety information could be changed during localisation
Avatar, voice and image rights must be clarified
Local teams may publish videos without sufficient technical review
Generating Deepfakes

Implementation Idea

Select a platform such as HeyGen, Synthesia, Colossyan or DeepBrain AI
Choose suitable explanatory content with a clear, approved script
Create one master video and use it as the basis for the language versions
Define approved terminology, product names and pronunciation rules
Use clearly synthetic or licensed avatars rather than imitating employees without a compelling reason
Have local experts check every translation, pronunciation and product statement
Add appropriate AI-content labelling and approve each version before publication

A custom agent or complex workflow is normally unnecessary. The main requirements are a suitable avatar platform, approved scripts and reliable local review.

Advatera Community Examples

LAT Nitrogen in Linz uses HeyGen avatars to create multilingual product explanation videos for farmers about fertilisers and their correct use.

Instead of producing a separate video in every market, the team creates localised versions for different countries and languages.

LAT Nitrogen deliberately chose AI-generated farmer avatars instead of creating digital versions of real employees. This avoids producing deepfakes of actual staff members and makes the synthetic nature of the presenter clearer. Some videos achieved more than 170,000 views on Youtube and were well received by the intended audience.