AI training video FAQs

An AI training video uses AI-assisted visuals, presenters or voiceover to explain a workplace task, policy or skill. At Probbit, people direct the script, visual treatment and edit, while your subject experts approve the facts. The learning objective determines which AI tools and filmed elements are appropriate.

AI can support L&D content production by helping create visuals, narration and language versions from approved training material. It can also make targeted updates easier when policies or products change. Learning objectives, subject accuracy and evaluation still need human decisions; AI production alone does not establish learning effectiveness.

Probbit produces onboarding, compliance, safety, product, sales and leadership training videos, along with microlearning series and animated explainers. We choose the format around the task: a workplace scenario, a presenter, a real software walkthrough or an animation that explains something a camera cannot show.

Probbit is an AI content studio for corporate training, not a self-service video generator. You commission a finished module or series: we handle agreed scripting, visuals, editing and delivery with your reviewers. A self-service tool suits teams that want to operate the software and manage production themselves.

An AI avatar is a digital presenter shown on screen; an AI voiceover is generated narration that can accompany demonstrations, animation or other visuals. Neither is required in every training video. Probbit selects the treatment around what employees need to see and understand, rather than applying one presenter format to every subject.

Yes. Approved presentations, policies, PDFs and SOPs can provide the source material. We identify the learning objective, resolve missing context with your subject expert and build a visual script. The process is more than narrating each slide: examples, demonstrations and scene choices need to support the task.

Some modules can use AI-assisted visuals, presenters and narration without a shoot. Others need authentic footage because a real person's identity, the actual workplace or a precise physical action matters. We recommend filmed, AI-assisted or combined production after reviewing the brief, rather than promise that every subject can be generated.

Timing depends on the module's complexity, source readiness, languages and approval process. A single straightforward module needs different milestones from a multilingual series with legal and safety reviews. We agree a schedule after confirming the script, assets, reviewers and delivery scope; AI generation time is only one part of production.

The script is checked against your approved source material, and designated subject experts approve factual, policy and safety content. Probbit reviews the production, including visuals, narration, captions and consistency with the approved script. Uncertain details need resolution before release; an AI-generated scene is not evidence that a process is correct.

Yes, with the right source material and review. Real screen recordings, approved procedures and subject-expert explanations can be combined with AI-assisted narration and supporting visuals. Actual software steps or equipment actions should be shown accurately; we do not substitute a plausible generated interface or movement for the real process.

Probbit writes scripts and structures training modules. Deep learning architecture, assessment validity and branching design are separate specialist work. We can work alongside your instructional designers or an agreed partner, with responsibilities made clear in the scope before production starts.

Usually, with delivery matched to your learning management system. A video file may be enough for viewing, while completion tracking can require a learning package and agreed rules. Confirm the LMS, hosting approach and reporting needs before production, then test the actual deliverable in your target system.

LMS packaging is scoped to the formats and reporting your system supports, which may include SCORM, xAPI or cmi5. These are different delivery and tracking approaches, not interchangeable labels. Agree launch, resume, completion and reporting behaviour, then test the package with a learner account in the target LMS.

Captions and readable transcripts can be included in the agreed delivery. They should match the approved narration and be reviewed alongside language versions and later edits. Probbit's current website sample clips have readable transcripts and caption files, so you can inspect how those supporting materials work.

Captions help, but they do not establish full accessibility on their own. Visual-only information, audio description where needed, contrast, keyboard controls and the surrounding player or LMS also matter. Agree the accessibility requirements and review scope for the complete learning experience before production.

Yes. Editable source files and a version register can support targeted script, scene or voiceover changes. Review the affected captions, language versions and LMS packages together. A small change may need only a focused update, while a new learning objective or substantially different process may require a rebuild.

Choose measures that match the learning objective, such as task accuracy, time to readiness, knowledge checks or observed behaviour. LMS completion shows participation, not necessarily understanding. Compare results with an appropriate baseline and account for other changes before attributing a business outcome to the video.

No. The current case studies are public industry examples from other companies, with original sources linked on their detail pages. Reported outcomes belong to those sources and have not been independently audited by Probbit. Our showreel and sample clips demonstrate production treatments; they are not proof of a client's learning results.