From AI Experiments to Real Business Results

Marketing leaders share how to move AI from pilot projects to measurable outcomes with proper governance.

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Sep 23, 2026

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From AI Experiments to Real Business Results

Marketing leaders share how to move AI from pilot projects to measurable outcomes with proper governance.

In brief

Marketing leaders share how to move AI from pilot projects to measurable outcomes with proper governance. Successful AI adoption requires balancing fast experimentation with guardrails, then shifting focus from efficiency gains to actual business results. Originally reported by Adweek.

The AI governance gap

(L-R) Cox Automotive’s Callie Cogley, Treasure AI’s Rafa Flores, ADWEEK’s Ryan Joe

Many marketers rush into AI without proper safeguards. Cox Automotive's Callie Cogley says organizations need to slow down and establish guardrails before scaling.

“Think about what we're trying to accomplish, how we're trying to accomplish it, and what's the best way to get there.”

Humans and AI both have blind spots

Treasure AI's Rafa Flores notes that while AI needs context, humans need judgment. Marketers will always control brand emotion and messaging.

“That role of a marketer, it's never going to go away.”

Shift from efficiency to results

Companies often focus on operational efficiency when implementing AI. The real value comes from prioritizing measurable business outcomes instead.

Share wins to build comfort

Cogley encourages teams to explore AI by sharing personal success stories. She uses AI daily for email summaries and recommends colleagues do the same.

“People already using AI and finding benefit with it can share their experiences.”

Use AI prompts for daily insights

Flores uses AI to generate daily summaries of business trends and product updates. Structured prompts help teams stay informed and spot opportunities quickly.

AI is here to stay

Flores concludes that AI's advantages are proven and here to stay. The key is using it wisely with proper governance and security in place.

“AI is here to stay because we have seen the advantages of using it.”

What it means

Successful AI adoption requires balancing fast experimentation with guardrails, then shifting focus from efficiency gains to actual business results.

Read the original on Adweek

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