AI-generated and AI-augmented footage looks finished until you put it on a calibrated monitor next to live action. Then the problems show: tones that drift from shot to shot, grain and texture that don't match, dynamic range that collapses in highlights and shadows, skin tones that shift, and no consistent colour space to build on. We finish AI material to broadcast and cinema standard and make it sit with the rest of your film.
Why AI footage is hard to finish
AI models are trained on compressed, consumer-grade images — so their output carries the limitations of that training data straight into your timeline. The usual pipeline runs the wrong way round: instead of starting from a clean, high-bit-depth camera negative, you start from a lossy, already-baked image and work backwards. That inverted pipeline is the core technical problem — and it's why dropping a LUT on AI footage doesn't hold up.
How we approach it
- Stabilise & normalise — bring shots onto a consistent colour space, neutralise drift, and recover dynamic range and texture where the source has thrown it away.
- Enhance — rebuild grain, detail and tonal response so the material behaves like footage, not like a render.
- Integrate & finish — match the AI material to your live action, grade the whole sequence as one, and deliver to spec.
Why it matters
Audiences and QC both notice when a shot doesn't belong. Done right, AI material becomes a usable part of the production rather than the weak link a viewer's eye snags on. Done wrong, it undermines everything around it.
We've worked on this in the open
Colorado presented "Beyond the Prompt: Colour Grading in the Age of AI" at FilmLight / Berlinale 2026, on exactly these problems and how to solve them. This isn't a sideline — it's where finishing is heading.
Bring us your AI material.