What an AI-Assisted Workflow Shift Actually Looks Like in Automotive Advertising

Lately, I have been helping lead a major workflow shift inside a company that has spent more than 20 years operating in a traditional Adobe-based production model.

That alone is a big change. But what makes it especially interesting is the environment where it is happening.

This is automotive advertising.

That means speed matters. Branding matters. Compliance matters. And everything tends to move fast while still carrying real pressure around accuracy, legal language, offers, disclaimers, and brand consistency. So this is not a casual experiment with AI for the sake of trying something new. It is a serious attempt to improve workflow in a category where mistakes are expensive and friction slows everything down.

The shift we are making is toward an AI-assisted workflow built around tools like Google Stitch, Pencil, and Figma, alongside platforms like LibreChat, Arena, and the AI capabilities built into ad production tools. At the same time, Monday.com is still staying at the center of project management so the transition feels more practical and less disruptive for the team.

That part is important.

When people talk about workflow transformation, they sometimes make it sound like you have to throw everything out and start from scratch. In reality, that usually creates resistance. A better path is often to keep familiar structure where it still serves the team, while introducing smarter tools around it.

That is really what this shift has been about.

One of the biggest improvements has come from using visual playgrounds much earlier in the process. Instead of relying only on written instructions or trying to force clarity too late in production, we can now work through ideas visually before they ever hit final output. That gives artists a better starting point and creates a much clearer shared understanding of what the work is supposed to become.

That early visual stage helps in several ways.

First, it improves communication. Artists are not guessing as much. Direction is clearer. Intent is easier to see.

Second, it helps catch branding and compliance issues sooner, before they become larger problems later in the process.

Third, it makes revisions much faster when offers, legal copy, or messaging changes, which happens often in this kind of work.

That alone is valuable, but there is another benefit I think matters just as much.

It gives experienced artists more room to actually use their judgment.

When teams are constantly under deadline pressure, a lot of creative talent gets consumed by speed, repetition, and cleanup. That is where weak work and what people often call “AI slop” starts to creep in. Not because the team lacks skill, but because the process leaves too little room for thought. When you create earlier clarity and faster iteration, you give skilled people more space to shape the work instead of just react to it.

That leads to better final output.

And this shift is not stopping with display ads or standard production. We are applying the same thinking to email marketing and multi-format asset production as well. The larger goal is to build a workflow that is more adaptive, more visual, more collaborative, and more capable of moving at the pace modern marketing demands without sacrificing brand quality or control.

That is what makes this exciting to me.

This is not really about replacing creative people. It is about redesigning the process around better tools and better timing so creative people can work more effectively. In a category as demanding as automotive advertising, that can make a real difference.

We are still in the middle of the transition, but even now the improvements are becoming clear.

And I think this kind of shift is only going to become more common.