AI can assist at several points in a video workflow: turn an approved brief into script options, prepare a shot list, generate or adapt visuals, draft narration, create captions, and help assemble an edit. It can also adapt the surrounding editorial package, from landing-page copy and UI or UX explanations to SEM, SEO, GEO, and ASO content.
Begin with a brief and rights plan
- Define audience, channel, objective, length, language, brand voice, product facts, and required disclosures.
- List which footage, music, voices, fonts, logos, and generated assets may be used, and under what license or consent.
- Set a human owner for factual review, editorial approval, accessibility, and final publication.
A reliable process moves from brief to script, storyboard, asset selection, narration, edit, and review. Keep source files and license notes attached to each asset. For a real person's voice or likeness, obtain the necessary permission; for generated material, check the tool's terms and the rights that apply to inputs and outputs. AI can suggest variants, but a producer should choose what represents the business.
- Brief and claims
- Script and storyboard
- Licensed assets
- Edit and accessibility
- Editorial approval
AI can support each production stage while a named editor owns the final piece.
A hypothetical example
Imagine a Barcelona-based software company preparing a short feature explainer for three markets. AI could draft localized scripts, propose visuals from an approved asset library, produce a narration draft, and generate subtitle files. A marketer and product lead would verify the feature claims, pronunciation, cultural fit, and rights before any version was published.
Review the work, then measure it
Generated footage can contain visual errors; narration can misstate a feature; synthetic voices may sound wrong for the brand; and an apparently usable asset may not have suitable commercial rights. Check every cut, caption, translation, and call to action. Keep licensed source material, approval records, and a clear distinction between confirmed product facts and creative interpretation.
Measure production time, revision rounds, caption accuracy, completion or retention by channel, qualified visits, and downstream conversions. For the surrounding content, use suitable search and app-store measures, but do not treat rankings or generative search mentions as guaranteed outcomes. Compare against a similar baseline and consider whether the content answered a real audience question.
Integrations without a fixed catalog
Slack, Telegram, WhatsApp, email, Jira, CRM, ERP and your own software: we build custom integrations with no fixed list or predefined number of connections. The scope depends on available APIs, permissions and each provider’s conditions.
Receive video briefs through Slack, Telegram, WhatsApp, email or Jira, coordinate reviews and deliver approved versions to the channels your team uses.
Manage campaign briefs, drafts and approvals through Slack, Telegram, WhatsApp, email and Jira, and connect publishing to your CMS and marketing tools.
The AI solutions page outlines broader product work; private computing can be relevant for unreleased footage or confidential product plans. Discuss a production workflow. Custom AI solutions start at €10,000 or scoped rental from €1,000 per month. Taxes may apply, and the quote specifies deliverables, capacity, setup, hardware, and third-party costs.
FAQ
How much does an AI project cost?
The starting prices are €10,000 for a project and €1,000/month for monthly capacity rental. Your quote depends on scope, capacity, setup, hardware, external provider costs and applicable taxes.
What kind of company or team is this for?
It suits teams with a specific product or operational task, access to representative examples and a person who can approve the result. We first check whether AI is useful for that task; a conventional rule or software change may be simpler.
Will our data be sent to an external AI provider?
That depends on the agreed setup. We document data paths and access before choosing an external model or a private local setup.
How do you decide whether the AI is good enough?
We agree on representative inputs, acceptable outputs, failure limits and the human approval points before the pilot. Results depend on your data and workflow, so we measure against that agreed sample instead of guaranteeing a general accuracy figure.