AI video and content creation: a considered story, told more ways

Where does AI genuinely help in production?

Exploration, volume and iteration. Testing eight visual directions before committing to one. Producing the fifteen aspect-ratio and language variants a campaign needs without fifteen separate shoots. Building something for a concept that would be impractical or disproportionately expensive to film.

Where it helps least is anywhere the value is authenticity. A founder talking to camera, a real customer, a genuine location — those are better filmed, and substituting a generated version reads as exactly what it is.

The most useful engagements are usually mixed: real footage where presence matters, generated material where it does not, and an edit that treats both as source rather than as two separate deliverables.

What does the process look like?

The message first, before any tool is chosen. What the piece is for, who it is aimed at, where it will run and what should change as a result. Skipping this produces striking material that does not do a job.

Then early samples, deliberately small, to test whether the approach holds the brand: whether a character stays consistent across shots, whether the typography survives, whether the motion matches how the brand moves elsewhere. It is far cheaper to abandon a direction at this stage than after a full render.

Then production and edit. Generation produces material; the edit produces the piece. Pacing, sound, grade, captions and the channel cuts are where a set of outputs becomes something worth publishing.

Then review. Every claim checked, every likeness and voice consented to, every licensed asset accounted for, and disclosure applied where the platform or the audience expects it.

Who is responsible for rights and accuracy?

It is a shared job with a clear split, and it is agreed before production rather than discovered after publication. Usage rights for generated material, consent for any likeness or voice, licences for source assets, factual claims about a product, and disclosure requirements all get checked as part of the work.

Two rules we hold to regardless of brief. We do not generate a real person's likeness or voice without documented consent from that person. And we do not produce material that states something about a product we have not been shown evidence for — a generated video makes an unverified claim look more credible, not less, which is precisely why it is the wrong place to make one.

Platform disclosure rules for synthetic media change frequently and differ by channel. The scope should name who tracks them for your markets.

What belongs in the scope?

Deliverable count and the channel cuts you need, aspect ratios, languages and captions, revision rounds, whether source and project files are handed over, music licensing and its term, and the usage window and territories.

That last pair is the one most often left vague and most expensive to fix. A piece licensed for organic social does not automatically clear for a paid campaign, and finding that out after the media is booked is a bad afternoon.

Our work with Awaaz and Hasan Zone shows where content production and platform work meet: teasers, release moments and immersive experiences built for artists who need a whole presence rather than a single asset.