For many industrial and technology companies, communicating effectively means explaining the product through specific applications and complex mechanisms, highlighting its technical advantages. Video is often the most powerful tool: it shows what would be difficult to understand through text or static images alone.

Bringing certain video scenes to life isn’t always possible due to technical constraints, production complexity, or real-world feasibility. That can force teams to simplify the message—or even change it altogether—but that isn’t always an option.

In the project developed for Faster, the challenge was exactly this: creating those scenes, with that message.

Communication goal: one single gesture, multiple audiences

The key message was simple, yet strategic:
the product performs just as effectively in different application contexts, for different users.

The central scene of the video had to show all the audiences at once:

• a farmer

• a vineyard worker

• a site foreman

• other operators in different settings

All of them performing the exact same activation movement, with the exact same framing and timing. A scene that looks straightforward—yet, from a production standpoint, extremely complex.

To produce it traditionally, it would have required:

• multiple real locations

• 5–6 different machines, each one fitted with the product

• 5–6 actors with consistent physical characteristics

• identical shots in terms of framing, lighting, and gesture speed

• controlled, repeatable environmental conditions

Achieving the same movement, the same light, and the same visual consistency across different contexts would have meant a significant investment of time and budget.

That’s where the challenge began.

The strategic question: can we do it with AI?

The idea wasn’t “use AI because it’s innovative.” The idea was to use it because it could solve a real problem: bringing different audiences into the same narrative structure, without multiplying production.

The process wasn’t immediate.

The limitations we ran into

While working with generative models, three main critical issues emerged:

• Motion control
  Reproducing a complex technical gesture—using both hands and requiring a precise interaction with a mechanical device—is not trivial for a generative system.

• Product consistency
  AI tends to reinterpret what it generates. But the client’s product cannot be reinterpreted: it must be identical, technically accurate, and immediately recognizable.

• No “product memory”
  Since this is a unique, specific device, the AI had no visual history to learn from. Each generation introduced unwanted variations.

In other words: AI performed very well with characters and environments, but struggled to respect the product’s technical accuracy.

The solution: integrating AI + 3D + motion control

The breakthrough came from combining multiple technology layers:

• AI generation for characters and environments

• motion capture to transfer a real, controlled, consistent movement

• an advanced pipeline with tools like ComfyUI to guide the animation

• inserting the correct product in post-production through a hybrid AI + 3D workflow

This allowed us to separate the variables:

• narrative variable → the audiences (farmer, vineyard worker, site foreman…)

• invariable element → the product, technically accurate

The result:
the same gesture, replicated across different contexts, with visual consistency and technical precision.

The real strategic value

AI wasn’t a special effect.
It was an enabling tool.

It made possible a scene that, with a traditional approach, would have required:

• multiplying sets

• multiplying shoots

• multiplying costs

• an exponential increase in timelines

In this project, instead, AI made it possible to:

• keep the strategic message intact

• contain complexity and timelines

• automate the creation of variations (characters and environments)

• ensure consistency in the technical gesture

Most importantly, it allowed us to clearly represent a core concept for the client:
one product, many applications, one single performance standard.

What this means for anyone communicating complex products

If your company needs to explain:

• proprietary technologies

• industrial devices

• medical systems

• multi-industry solutions

you’ve probably faced the same dilemma:
video is the best option, but a large-scale production can quickly become a constraint.

AI when integrated into a professional, controlled pipeline can become a strategic tool to:

• reduce production complexity

• preserve technical quality

• amplify the message without compromise

It doesn’t replace expertise.
It enhances it.

And it’s exactly this integration of AI, 3D, and technical direction that makes a business video truly effective and actually possible.