Video & multimodal generation
Multimodal AI generates not just text but images, video, audio, and combinations of all three. AI can now produce a training video from a written procedure, generate product photos without a photoshoot, or create a narrated walkthrough from a slide deck. For businesses, this collapses the cost of content production — training materials, marketing assets, and customer education that used to require specialized production teams.
Go deeper
Your HVAC company needs to train 30 new technicians on a proprietary heat pump installation procedure. Previously, you'd send a senior tech with a camera crew to a job site, film the install, edit the footage, add narration — $15,000 and six weeks later you have a training video. Now you hand the AI your written installation procedure and reference photos, and it generates a narrated walkthrough video in an afternoon. It's not cinematic, but your technicians don't need cinematic. They need clear and accurate.
The trap most companies fall into is using multimodal AI to produce customer-facing content when it's most powerful for internal content. Training materials, standard operating procedures, safety briefings, onboarding walkthroughs — this is content that needs to be accurate and clear, not award-winning. The volume of internal content most companies need dwarfs their external content, and that's where multimodal generation pays off fastest.
Questions to ask
- How much do we spend annually on producing internal training and documentation content?
- Which procedures or processes change frequently enough that re-filming or redesigning materials is a recurring cost?
- Do we have written procedures detailed enough to serve as source material for AI-generated visual content?