Use case · AI content creation

AI training and e-learning videos that stay current.

AI suits training video because training keeps changing: policies are revised, products update and workforces speak many languages. The value is less in the first version than in the fifth, re-voiced and re-rendered in days when a procedure changes. That only works if videos are built in modules, captioned and accessible, and checked by subject-matter experts before anyone learns from them.

Built to be updated

Policies change on their own schedule, and a training video that contradicts the current policy is worse than none. Build short modules around single procedures, tie each to the policy or document version it teaches, and log which version is live in the learning management system. When the policy changes, regenerate the affected module, keep the rest, and retire the old file rather than leaving it in a shared folder where someone will find it. Package modules to the standard your LMS uses, such as SCORM 1.2, SCORM 2004, xAPI or cmi5, so completion records show who saw which version.

A multilingual workforce

Translate for the workforce you have, not only the markets you sell to: a Dutch warehouse may need Polish and Romanian as much as Dutch. Localise voice, captions and on-screen text, and pick the right variant, such as Brazilian or European Portuguese, Latin American or European Spanish. Some countries set rules: in France, Article L1321-6 of the Labour Code requires documents containing obligations for employees, or information they need to do their work, to be in French. Keep a terminology list per language for equipment, roles and safety terms, so every module calls the same thing by the same name.

Captions and accessibility

Training is often mandatory, so everyone required to take it must be able to. WCAG 2.1 and 2.2 at level AA, the usual benchmark, expect captions for prerecorded video (success criterion 1.2.2) and audio description where important information is only visual (1.2.5). Writing narration that describes what matters on screen removes most of the need for separate audio description. Use sidecar caption files so learners can switch language, keep diagrams high in contrast, and never rely on colour alone to show which option is correct. In Europe, EN 301 549 carries the same criteria into public procurement.

Experts as reviewers, not afterthoughts

A generated scene can look right and be wrong: gloves missing in a chemical-handling scene, a forklift loaded unsafely, a step skipped in a clinical procedure. Subject-matter experts should review visuals as well as scripts, because learners copy what they see. Give them a structured sign-off: accuracy of every step, equipment and safety gear shown, regulatory wording, then approval for release. In Synthetic White, approvals and workflows assign those roles and record each sign-off in an audit trail, and saved presenters, sets and equipment keep modules consistent, so an update does not introduce a new-looking warehouse halfway through a course.

Updated 25 September 2026

Questions

AI training and e-learning videos, answered.

How quickly can a training video be updated when a policy changes?

As quickly as the review allows. Regenerating a module's voice-over, captions and changed scenes is fast; the time goes into expert sign-off, which should not be skipped. A modular structure keeps the scope small, so an update means one short module reviewed again rather than the whole course.

Do we need works council approval to roll out AI training videos?

In Germany, systems that can monitor employees' behaviour or performance, including a learning platform that records completion, are subject to co-determination under section 87(1) no. 6 of the Works Constitution Act. Other countries have their own consultation duties. Involve employee representatives early, especially if presenters are based on real colleagues.

Can we use an AI presenter based on our own trainer?

Yes, with their written consent covering the uses, languages, duration and what happens to the likeness if they leave. Tell learners the presenter is synthetic. Keep a real person accountable for the content, because staff will have questions a synthetic presenter cannot answer.

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