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AI in Corporate Video Post-Production: What It Can and Cannot Do
Film Me’s assessment for 2026: AI is good at the routine parts of video post-production: transcription, searching footage, caption drafts, audio clean-up, file handling and first-pass checks. It is not yet reliable for judgement: story, tone, accuracy, brand and final sign-off. AI-generated video is improving quickly but is often not ready for corporate work that shows real people, products and places.
This guide is written by Rupert Chesman, who leads Film Me and also teaches AI to executive teams. It describes the position in September 2026 and is reviewed every quarter.
The short answer
Of course AI belongs in a modern post-production workflow. It removes hours of repetitive work and helps keep hundreds of files consistent. But it does not replace human judgement. The useful question is not "should we use AI?" but "which parts of the job should it touch, and who checks the result?"
Where AI helps today, and where people decide
| Task | What AI does well | What a person must still do |
|---|---|---|
| Transcription | Fast, searchable transcripts of interviews | Check names, figures, technical terms and accents |
| Finding footage | Search hours of material by word or subject | Decide which moment is the right one |
| Rough assembly | First pass for repeated formats | Story, pacing and emotion |
| Captions | First-draft captions and timing | Accuracy, line breaks, reading speed |
| Translation | First-draft translation | Meaning, tone and cultural fit, checked by someone who reads the language |
| Audio | Noise reduction, levelling | The mix, the music, what it should feel like |
| Reframing | Auto-crop to other aspect ratios | Check every shot; auto-crop misses what matters |
| File work | Naming, versions, renders, exports | Decide the rules it follows |
| Quality control | First-pass technical checks | Watch the file and sign it off |
Automation is not the same as generative AI
Much of what speeds up large projects is plain automation: creating projects and folders, naming files, building timelines from templates, queueing renders, applying export presets and running technical checks. None of that invents anything.
Generative AI is different. It creates new pictures, voices or footage. That raises questions about accuracy, rights and consent that automation does not. A sensible buyer treats the two separately.
What about AI-generated video?
AI-generated video is improving quickly, and Film Me makes it. But for most corporate work it often isn't there yet, for four reasons.
- Real people. Your staff, leaders and customers need to be themselves. A generated likeness is a consent and trust problem, not a saving.
- Real products and places. Generated footage gets details wrong. In corporate communication, wrong details matter.
- Consistency. Holding the same look, person or product across a series is still difficult.
- Rights and provenance. You need to know where every frame came from.
Where it does work today: abstract visuals, concept and mood films, some backgrounds and transitions, and ideas that would be impossible to shoot. Used openly, labelled clearly, and only with the client's agreement.
Five questions to ask any post-production supplier about AI
- Which parts of your workflow use AI, and which use simple automation?
- Does any tool that touches our footage use it to train a model?
- Who checks AI output for names, figures, captions and translations?
- Will you ever generate footage, voices or likenesses without our written agreement?
- If our policy restricts AI tools, can you meet it, and will you say so plainly if you cannot?
A supplier who cannot answer these plainly has not thought about it enough. Film Me's own answers are on the page How Film Me uses AI.
The principle
AI augments. It does not replace. Software catches what software is good at. People make the decisions, and a person checks every file.
See also: how Film Me works, where each stage shows where AI helps and where people decide.
