Case Study #3
How we partnered as a creative intermediary to help an AI automation company evolve from social presence to high-end advertising creative at speed.
Intico is an AI automation company serving mid-market to enterprise-level clients, with four distinct target audiences and a relatively long, sophisticated sales cycle.
This case study is unique because we were not the direct agency of record.
Instead:
This structure required clarity, precision, and trust — not overlap or confusion.
Intico faced several layered challenges:
AI automation is not an impulse purchase.
It requires:
And because Intico serves multiple audiences, messaging had to be adaptable without becoming generic.
The initial strategy focused on:
This helped establish presence — but it didn't generate enough qualified leads to sustain growth. The business needed to move from visibility to demand generation.
As an AI automation company, Intico couldn't afford:
The creative had to match the sophistication of the product.
Because Intico is based in Boca Raton, I visited their offices personally to photograph the facility, capture the environment, and build visual context around the brand and leadership. This created a foundation of realism and trust — especially important before introducing AI-generated elements.
We began with:
This ensured the brand felt human first, not abstract or over-produced.
As cloning technology improved, we began creating a clone of Raul and placing him in imaginative, sometimes far-fetched scenarios to spark curiosity and reinforce memorability.
While this phase didn't immediately move lead volume, it:
It was an important learning and evolution phase.
Once it became clear that organic alone wasn't sufficient, the strategy evolved toward paid advertising. This required a different level of creative.
Using advances in tools like Sora, Veo 3, Kling, and Runway, we were able to produce:
Because Intico serves multiple audiences, we had to prioritize. We started with the e-commerce / retail audience, creating:
This approach allowed us to:
In this engagement, we did not manage ads or control strategy end-to-end.
We provided:
Michael's agency handled:
This separation of roles worked because creative was treated as a specialized discipline, not a commodity.
Over roughly eight months, the client saw a clear evolution:
Most importantly, Raul could see the progression: from basic video, to cloned content, to high-production commercial-style ads.
As discussed in our most recent meetings, the improvement came from two forces working together: AI software matured, and our team matured with it — through training, experimentation, and hiring.
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This project proves something critical: AI creative isn't just about tools — it's about people who know how to think with them.
Traditional video editors follow instructions.
AI-native editors must understand:
They're closer to creative strategists than technicians.
That's why this work is difficult to replicate at scale — even for agencies.