AI how-to guides Customers and sales
How to create videos with AI digital humans
Connect a digital human platform to your content workflow so AI generates the script, adapts it for different markets and renders a lifelike avatar speaking the text. People define the brand voice, review the output and approve the final video. Start with straightforward campaigns, measure engagement, then scale to new languages and formats.
What AI does
- Generates first drafts for video scripts based on briefs, product data or existing text.
- Reviews scripts against your brand tone, style and compliance rules before rendering.
- Adapts the content for different markets and languages without manual retranslation.
- Animates a digital human avatar with natural lip-sync and gestures to present the script.
- Manages brief intake, drafting, review and approval in a single pipeline.
What stays with people
- Defining the creative brief, the target audience and the core message.
- Approving scripts and final video renders before they are published to any channel.
- Setting the legal guardrails, brand voice rules and visual style that the AI must follow.
How to put it in place
-
Map your content needs and rules
Identify the campaigns that need video content across different markets. Wire your systems, brand guidelines and legal policies so the AI works within your rules.
-
Choose and configure the digital human
Select an avatar that fits your brand identity or create a custom one. Set up its voice, language capabilities and visual presentation to ensure consistency.
-
Connect the workflow and generate drafts
Feed briefs and product data into the AI to generate the first video scripts. Let the system review the text against your tone of voice and compliance policies.
-
Review, render and approve
Have a person review the script before the system animates the digital human. Watch the rendered video to check lip-sync, gestures and overall quality, then approve it for publishing.
-
Measure performance and improve
Track how the videos perform across your channels and markets. Connect these analytics back to your briefing process so future content learns from what works.
What you need
- Clear brand guidelines, tone-of-voice rules and compliance policies.
- A digital human generation platform capable of lip-sync and multilingual voice synthesis.
- Integration with your CMS, DAM or campaign tools where reviewers already work.
- An owner in the marketing or content team to review drafts and approve final assets.
When it is not worth it
- Highly emotional, nuanced or deeply creative brand anthems that require real human actors.
- One-off videos where the setup time for the digital human outweighs the production effort.
- When legal or compliance teams have not yet agreed on the rules for using synthetic media.
Risks and how to control them
- Unnatural or repetitive gestures that harm brand perception: control this by keeping a human review step before publishing any generated video.
- Brand inconsistency across markets: enforce your tone and style guidelines systematically inside the drafting workflow before the rendering stage.
- Hallucinations or incorrect product claims in the script: ground the AI drafting process in your approved product data and require human sign-off.
- Deepfake and transparency risks: establish strict access controls, label synthetic videos and ensure compliance with synthetic media regulations like the AI Act.
How Thinkia does it
We build a governed layer across your data, workflows and handoffs so your teams can ship safely. We start by mapping your policy boundaries and success metrics, wiring your systems so AI works inside your rules. Generative tools draft the content and adapt it for different markets, but the workflow ensures every asset is reviewed against your brand voice before it leaves the pipeline.
Drafts land in the CMS or DAM where your reviewers already work, keeping approvals baked in. We pilot narrow campaigns to tune templates and routing based on real feedback, then scale production to more locales and asset types while tracking operational KPIs and maintaining a full version history.
The Thinkia solution behind this guide
- AI content operationsYour team sets the standard. AI maintains it at scale.
- AI personalisation engineEvery customer gets a different experience. Built for them.
- Marketing personalization at scalePersonalization at scale, governed by consent
Thinkia products involved
Frequently asked questions
Can AI digital humans replace real video production?
No. They are meant to scale content where volume, speed and multilingual adaptation matter, such as product updates, training or regional marketing. Highly creative or emotional videos still need real people.
Does the AI write the script too?
Yes, the workflow can take a brief or product data and generate a first draft. It checks the text against your brand guidelines, but a person always reviews it before the avatar is animated.
How do we ensure the video sounds like our brand?
By setting strict guardrails in the workflow. The AI evaluates the script against your tone and style rules, and you choose or clone a voice that matches your brand identity.
Can it speak different languages?
Yes. The system can adapt the approved content for different markets and languages, generating the audio and matching the digital human's lip movements without needing a separate shoot.