Back office ops · Production

Evonik creates training videos in multiple languages 80% faster using Synthesia

The problem

Evonik's COATINO Campus team faced three barriers to scalable video-based training: producing videos in Evonik's own studios was time-consuming and required extensive planning, localizing content across languages was expensive and tedious, and subject matter experts were often uncomfortable on camera and needed multiple takes.

Workflow diagram · grounded in source
1
Script upload to Synthesia
trigger
“He uploads the relevant script (including translations) to Synthesia”
2
Template editing and population
ai_action
“edits his custom-made template, populates it with content, and voila! The training video is complete”
3
Video output with avatars and captions
output
“the result is a high-quality video with avatars and automated captions”
4
Multi-language content delivery
output
“creating content in several languages, including German, English and Chinese”
Reported outcome

Using Synthesia, Evonik's COATINO Campus now produces training videos in German, English, and Chinese, saving over 80% of production time and reducing creation time to only 5-10 minutes for a 2-3 minute video, allowing the team to create several videos a day.

Reported metrics
Video production time savingsover 80%
Languages supported3
Time to create a 2-3 minute video5-10 minutes
Video creation throughputcreate several videos a day
Reported stack
Synthesia
Source
https://www.synthesia.io/case-studies/evonik
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Using Synthesia, Evonik's COATINO Campus now produces training videos in German, English, and Chinese, saving over 80% of production time and reducing creation time to only 5-10 minutes for a 2-3 minute video, allowin…

What tools did this team use?

Synthesia.

What results were reported?

Video production time savings: over 80%; Languages supported: 3; Time to create a 2-3 minute video: 5-10 minutes; Video creation throughput: create several videos a day (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Script upload to Synthesia → Template editing and population → Video output with avatars and captions → Multi-language content delivery.