Employee Onboarding is an introduction to the workplace policies, procedures, communication systems, and resources that are necessary to help new employees settle into their jobs. A well-crafted explainer video can break this information down into smaller bites and make it more digestible for employees when they are training. AI tools can aid in the production of visual drafts, however, all completed resources must be reviewed for accuracy, privacy, accessibility, and proper application.
AI-enabled onboarding explainers are meant to convey approved training information, NOT to take the place of human judgment. A practical review process should be initiated with material from an authorized source, and then followed by review of visual production, captioning, factual verification and final approval. The following is a checklist of the key factors to keep in mind when creating a responsible and helpful onboarding video for employees.
1. Confirm the Purpose and Approved Source Material
Audiences, learning outcomes and scope are steps to take before producing a video. An explainer could introduce a workplace reporting process, show how to use a workplace resource or tell an employee where they can find approved policy information. A clear goal is useful in avoiding all kinds of details that can distract viewers.
Then, determine what source materials will provide information for the script and visuals. These can include: internal documents, approved presentations, process diagrams, photographs and screenshots. Verify the accuracy and permission for the training use of each source.
Note that permission is a special consideration where materials include employee information, proprietary designs, or confidential business information. The fact that a document is internal doesn't necessarily mean that it can be used in a generated document or uploaded to an external AI service.
Reviewers should ensure that:
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Source documents are approved and up to date.
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The use rights for images, recordings and illustrations are appropriate.
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Staff are aware of the ways in which their recognisable images or voice may be used.
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Unless it is required and permitted, sensitive information is removed.
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All external processing is done in compliance with organization privacy requirements.
If the ownership or permissions associated with a source asset is ambiguous or unclear, then use an authorized alternative source asset instead of assuming it is safe to use.
2. Check Image Permissions and Staff Consent
Onboarding content can be enhanced with visuals, but they must be paid attention to in terms of ownership, permissions and privacy. Photos of employees, a staff demonstration or the use of an internal system may have information that might not be shared outside of the context of the original setting.
When using an image to video AI tool to transform employee photographs or other visual assets, first identify the content owner and confirm that the organization has permission for the intended use. Appearing in an internal photograph does not automatically grant permission for AI-assisted transformation or wider distribution.
When using images of employees, get informed consent if needed, and tell the employee about the purpose of the image. Describe why the individual's appearance can be animated, altered over time, used multiple times in the training video, or used in subsequent versions of the training video. Comply with relevant organizational policies and legal obligations regarding personal information collection, processing and retention.
Some guidelines that are helpful to use for a review checklist are:
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Establishing the rights or license of each visual item.
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Reviewing allowed audience, purpose and distribution of the content.
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Getting proper permission to alter recognisable staff images.
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Clearing out unneeded names, contact information, account details and other personal information.
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Defining where the source files will reside and how they will be accessed when the generated versions are created.
If authorization isn't explicit, use an alternative approved by the school rather than assuming that availability equals authorization.
3. Review Image-to-Video Drafts Carefully
An image to video AI workflow can turn still images into moving visual sequences for an onboarding explainer. An approved illustration of a workstation, for instance, could be a brief visual of the sequence of people using a resource. These sketches can be used to convey a process, but if they bring in motion or visual information which isn't present in the source material then this can create problems.
For character-based scenes, Magic Hour AI character replacement may also be considered when developing illustrative visuals. Before using this approach, confirm that the source imagery is authorized, any identifiable individuals have provided the required consent, and the resulting character does not imply a false endorsement or misrepresent a real employee.
These checks should be done before approving a draft:
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Are all actions compatible with the documented action?
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Do the buttons, labels, screen and other visual elements convey the correct information?
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Does moving mean an unsupported movement or result?
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Do important instructions appear long enough for them to be understood?
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Are there any objects, text or background details that have been cut out?
Don't take the treatment footage as representative of the way a real system will work. If the sequence cannot be verified, try to simplify it or use a static illustration, or ask for a corrected sequence.
4. Maintain Consent-Based Character Continuity
A recurring illustrative character could be used in an onboarding video, to take viewers through multiple sections. Sticking to a consistent style and appearance in the clothing will help the sequence to be easier to follow. But the continuity of character should not be at the cost of employee privacy and consent.
If there is a real person in a likeness, reviewers should ensure that the person has consented to the appropriate transformation and reuse. An illustrative character should never be depicted as an employee, a spokesperson or a representative of a company without permission.
Tools such as Magic Hour AI character replacement may be considered when planning character-based visual sequences. The review should address the purpose of its use, whether it is permitted to use the source imagery, the treatment of identifiable features, and the possibility that the character might mislead readers as to who the character is. Availability of transformation features is not equivalent to consent or permission.
A practical character review should confirm that:
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Character credited to source material.
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The use of the image of a recognizable person is within the scope of the agreement.
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Characters consistently looked the same in all scenes.
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The creation of expressions or actions does not necessarily constitute falsehoods or endorsements.
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When there is a distinction, illustrative material is readily identified from true employee footage.
The team should have a process in place to review those assets affected by the withdrawal of consent or changes in the scope of consent and determine if the asset must be replaced.
5. Make Accessibility Part of the Review
An explainer can only be of benefit if the target audience can read and comprehend it. Accessibility should be thought of at the time of scripting, editing and final review, not in isolation.
It is particularly important for employees with deafness or decreased hearing, people who watch without sound or employees who enjoy reading information while listening. Automatically generated captions may include errors in names, technical language, acronyms, and procedure.
Reviewers compare the captions with the final audio and correct the errors by hand. Ensure punctuation, speaker identification if required and the time of each caption. Don't obscure critical interface information with text or other visual information.
The visual presentation also needs to be taken into account. Use legible text, appropriate contrast, an audible voice and a logical tempo. Never use colour to indicate a warning or as a step differentiator. If a procedure involves visual actions, give a meaningful spoken explanation or other accessible method of understanding information.
Where possible generate a transcript and alternative text-based version of key instructions. The materials could also be used as a resource for employees to go back and review key actions post watching the video.
6. Verify Facts and Protect Confidential Information
In reviewing the video prior to publication, the reviewers should take into account the full video, narration, captions, visual sequences, and background information. Even with the use of an accurate script, there are potential inconsistencies as it's edited and could also have AI-generated images and graphics, which can lead to inaccuracies in the final video.
Examine each scene in comparison to the approved source documents. Verify names of policies, dates, contacts, procedures, etc., that employees might use or depend on. Eliminate claims and examples that are not drawn from the real world of the workplace that might be confused as real events.
The video and the materials used to create the video should be reviewed for privacy. Screenshots may contain employee details, email addresses, account information, hidden links or background information. Personal information could also be included in reference photographs or voice recordings.
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A real-world privacy review must ensure that:
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Unnecessary personal and confidential information has been removed.
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Generated text and interface details do not contain invented information or sensitive information.
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Appropriate access restrictions are applied to the storage of the source files.
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The intended audience and the method of distribution is well defined.
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Any errors or privacy concerns noted are addressed prior to publication.
The production team should also determine the process for holding, updating, or removing source materials or final versions when they are no longer necessary. Any question which needs specialized interpretation should be directed to the relevant organisational professional, not assumed.
7. Establish Ownership of Final Approval
While AI tools can help with the drafting, visual development, and editing process, they should not be the sole authority on the final decision of whether to publish or not. There shall be a human designated to be held responsible for determining whether the explainer is appropriate for employee training.
A review can be done by a training owner, communications editor, policy specialist or an authorized privacy representative depending on the content. It is very important that each person knows what they need to verify.
Prior to release ensure all requested corrections have been made and that the final version is in-line with the approved source material. Keep a record of the approved file, file permissions, issues, and authorizer of the publication.
A review process should also include a person or persons to review the video in the event of a change in a workplace procedure. Older instructions might need to be amended, replaced or withdrawn to avoid employees using old information.
Purpose should be limited to training communications. An onboarding explainer and its AI assisted production process should not be used in automating the hiring decision, ranking candidates, and ensuring employment eligibility.
Final Review Checklist
Before the video is released, check that the following have been covered:
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Training goals and training materials are approved.
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Ownership and licensing of images and consent of staff have been verified.
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The AI-generated motion and visual details are consistent with the verified instructions.
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Character continuity honors agreement and does not misrepresent.
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There are accurate and accessible captions, narration and on-screen text.
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Unnecessary confidential information, factual errors have been removed.
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The target audience and dissemination rights are affirmed.
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Final copy approved by a designated human reviewer.
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There is a procedure for making corrections, updates and correct retention of files.
Having the same checklist for each cycle of production can help teams to identify missing approvals before they reach the employees.
Conclusion
The performance of an AI-assisted employee onboarding explainer should not be measured by the ‘look' alone, but by the accuracy, accessibility and reliability of the information used to train the employee. A resource that clearly communicates workplace procedures is achieved through source permissions, informed staff consent, careful image-to-video drafts, responsible character continuity, and privacy checks.
Accountability is also clear due to a structured review process. The use of AI-generated visuals can be seen as a complement rather than a replacement for the human review process, as organizations can rely on a plan for future updates and assign the final approval to a trusted human.
The outcome should be an unambiguous and inclusive training material that is properly approved, which will enable employees to learn information that is accepted by the organisation, while also respecting the privacy of others and the responsibilities of the organisation.
