Anyone producing videos today knows the tension: Content needs to be completed faster, yet still appear professional. This is where AI-supported workflows into play. They save time, reduce costs, and open up new creative possibilities. But their full potential can only be realized with clear rules.
Accelerate video production
Have an explanatory video createdAI-supported workflows: From script to subtitle
In traditional productions, it takes days or weeks for a video to go through all the stages. AI can accelerate many things:
- Idea generation: Brainstorming with AI delivers creative ideas in minutes.
- Scripting: Tools generate text variants – tailored to tone and target audience.
- Image & Animation: Illustrations and scenes can be created faster.
- Post-production: AI optimizes audio, edits scenes, and automatically creates subtitles.
- Localization: Translations and voice clones quickly bring content to new markets.
Sounds like magic? In fact, studies show that companies can achieve productivity gains of over 40% through AI-powered content workflows ( McKinsey, State of AI 2025 ).
The downside: Quality needs standards
Speed is great – but without rules, chaos ensues. Those who use AI tools without control risk breaches of CI, incorrect information, or legal pitfalls. Therefore, the following applies: AI, yes, but please, with governance.
- Digitize style guides: Logos, colors, tonality as fixed prompt building blocks.
- Plan review processes: Every AI output needs human control.
- Use video audit: A video audit allows you to regularly check quality.
- Pay attention to explainability: Traceable sources and versioning are mandatory ( Baker & Xiang 2023 ).
Added value for companies: Efficiency & Governance combined
The true value lies not only in speed. When used correctly, AI workflows also make videos better —because they are consistent, scale more easily, and reach more people:
- Time-to-market: Content goes live faster and supports transformations in real time.
- CI security: Standards are maintained, no matter how many variants are produced.
- Global Reach: Multilingualism becomes easier – and promotes engagement among international teams.
KPIs: How to measure success
To make AI-supported workflows more than just a buzzword, companies should measure their impact. Typical metrics include:
- Time-to-Publish: How much does production time decrease?
- Error rate: Is the number of CI violations decreasing?
- Completion Rate: Are employees more likely to watch videos to the end?
- Adoption Speed: How quickly are new content and processes adopted?
Conclusion: AI + Human = unbeatable team
AI isn't a substitute for creativity—it's a turbocharger. With clear rules and human oversight, it becomes a key success factor for corporate communications. This creates a workflow that's not only faster but also more intelligent.
Making communication smarter
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