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AI Use Case

AI-Assisted Social Video Production

Turns interviews, event footage and longer recordings into edited social-media videos with suitable formats, subtitles and branding.

Producing short videos for social media traditionally requires considerable editing effort. Communications teams must select the strongest scenes, remove unnecessary passages, add subtitles, adapt the format and apply brand elements.

AI-assisted video tools can automate or simplify many of these steps. They can transcribe recordings, identify promising excerpts, create a first cut, generate subtitles and adapt videos to vertical, square or horizontal formats.

This makes it possible for communications teams to produce more video content without requiring professional editing skills for every asset. The communications professional still selects the final story, checks the transcript and approves the finished video before publication.

Painpoints

Editing social-media videos takes considerable time
Communications teams often depend on external video specialists
Long interviews and recordings contain only a few usable moments
Selecting the best excerpts requires reviewing the complete recording
Subtitles must be created and corrected manually
Videos need different formats for different platforms
Brand elements are applied inconsistently
Smaller communication teams cannot produce video content regularly
Valuable event and interview footage remains unused
Manual editing slows down publication

Goals

Produce social-media videos more quickly
Turn longer recordings into concise, engaging clips
Reduce manual editing and transcription work
Make video production accessible to communications teams
Create subtitles automatically
Adapt videos to different platform formats
Apply consistent branding and templates
Reuse interviews, events and existing recordings
Reduce reliance on external production support
Keep editorial selection and approval with the communications team

Risks

The AI may select excerpts without sufficient context
Automated cuts may distort what a speaker intended
Transcripts and subtitles may contain errors
Important qualifications may be removed when shortening a statement
Automatically generated titles may overstate the content
Music, footage or templates may create licensing issues
Personal or confidential information may remain visible
Brand templates may be applied incorrectly
Synthetic effects could make authentic footage appear manipulated
Videos may be published without adequate review or consent

Implementation Idea

Select an approved video tool that fits the team’s channels and brand requirements
Create a small set of templates with logos, colours, fonts, subtitles and standard formats
Start with suitable material such as interviews, event recordings or expert statements
Let the tool transcribe the recording, suggest strong excerpts and create a first cut
Adapt the selected clip for the required social-media formats
Check the wording, context, subtitles, branding, music rights and participant consent
Have a communications professional approve the final video before publication

Known tools include PlayPlay, Descript, OpusClip, CapCut and Microsoft Clipchamp.The right choice depends on whether the priority is corporate branding, transcript-based editing, automatic clip selection or integration with Microsoft 365.

Advatera Community Examples

Advatera members have used long CEO town halls as source material for shorter intranet videos. Instead of expecting employees to watch the complete recording, communications teams extracted individual sections and published concise clips around specific topics and leadership messages.

Endress+Hauser, using PlayPlay for video editing and social-media content
Wien Tourismus, using CapCut for social-media video production