From AI experiments to value creation with Julie Synave: why marketing leaders need to think bigger

Faster content. Smarter targeting. Less time spent on repetitive tasks. There’s plenty to get excited about when it comes to AI in marketing. And many teams are already seeing the benefits.

But what if we’re thinking too small? 

That was the challenge Julie Synave, Strategic Account Director at EPAM, asked us to consider at our first Next Chapter breakfast at Mix Brussels. Her point? Using AI to do the same things faster and cheaper is only part of the opportunity. The bigger prize lies in rethinking how marketing works as a whole, from the way teams collaborate and make decisions to how they create value for the business.

And that raises questions that go well beyond technology. Questions about leadership, operating models and how to turn AI investment into real business outcomes. Exactly the kind of conversations we wanted to spark at Next Chapter, our new gathering for senior women in marketing.

The ‘AI and efficiency’ conversation is only the beginning

For many organizations, the AI journey starts in a familiar place: content. It's easy to understand why. Content is highly visible. It's relatively easy to test. And the gains can be immediate. Campaign assets that once took days or weeks to create can now be generated, adapted and localized in a fraction of the time. On paper, that's a success story. But Julie invited us to look a little closer.

“Generating content faster doesn't automatically make marketing more effective,” Julie explained. “Someone still needs to review claims. Someone still needs to ensure compliance. Someone still needs to protect the brand. And someone still needs to make the final decision.”

The bottleneck hasn't necessarily disappeared, it has simply moved somewhere else. The lesson isn't that AI doesn't create value. It's that value rarely comes from a single activity alone.

Why disconnected AI initiatives fail to deliver lasting value

Most organizations are no longer starting from scratch with AI. In fact, many now have multiple initiatives running at once. Marketing is experimenting with content generation. Customer service is exploring assistants and agents. Insights teams are building new models. Meanwhile, media, commerce and analytics teams are testing their own approaches.

“A collection of successful pilots is not the same thing as transformation.”
Julie Synave, Senior Business Development Manager, Empathy Lab

Individually, these initiatives can deliver real results. But when they operate in isolation, the bigger opportunity gets lost. What you end up with is a growing collection of pilots, proofs of concept, and small successes that never quite add up to meaningful change.

And that’s where the challenge shifts from technology to how the organization works. Every AI initiative brings new knowledge. Every use case teaches teams something valuable. And every workflow reveals insights that could benefit the wider business. Yet too often, those lessons stay within individual teams, rather than being shared and put to work across the organization.

Rethinking how marketing creates value

One of the strongest ideas from Julie's session was the concept of value orchestration. For years, marketing organizations have focused on optimizing individual activities like campaigns, channels, content, customer journeys... Each component measured and improved on its own.

“Customers don't experience organizations in silos. Why do we still build them that way?”
Julie Synave, Senior Business Development Manager, Empathy Lab

That's why value orchestration represents such an important shift in thinking. Rather than looking at separate activities, it focuses on how people, processes, data and technology work together to create business value. It's the difference between asking "How can we optimize this task?" and asking "How does this contribute to value creation across the entire system?"

Because making individual tasks faster is one thing. Making the whole business work better is another.

How our Growth Suite connects the dots

Our Growth Suite is designed to bring data, technology, teams and business goals together. Instead of AI initiatives working in isolation, it helps different capabilities work together so insights can be shared, decisions can be better informed, and teams can build on each other's work. The result is a more connected approach to marketing, where AI can drive growth across the business, not just efficiency within individual teams.

What this looks like in the real world

Julie brought the idea to life through examples from organizations already putting these principles into practice like Mars and Reckitt .

Whether through Synthetic Audiences that help teams test ideas earlier, AI-powered insights, or more integrated planning and activation, the real value comes from how these capabilities work together. Insights inform decisions, decisions guide execution, and the results feed back into what happens next. It's this connected approach that makes a bigger difference than optimizing individual tasks.

The leadership challenge behind AI

For the senior women in the room, one of the biggest takeaways had little to do with technology. AI can generate insights and make teams more efficient, but it takes people to see the bigger picture, decide what matters, and turn those improvements into meaningful results. That's where leadership makes the difference.

“The role of leadership is shifting from managing activities to orchestrating outcomes.”
Julie Synave, Senior Business Development Manager, Empathy Lab

As AI becomes more accessible, competitive advantage is becoming less about access to technology and more about how effectively your organisation coordinate it.

The next chapter: moving from AI pilots to sustainable growth

Most organizations have already started experimenting with AI. Many have already identified promising use cases and some even have achieved impressive productivity gains. But the next chapter requires something different.

Not more pilots. Not more tools. Not more initiatives in silos. But connections that lead to value.

This requires a way of connecting all your AI efforts into something greater than the sum of their parts. That's what value orchestration is ultimately about. And that's why Julie's message resonated so strongly with the marketing leaders gathered at Empathy Lab’s Next Chapter. The future won't belong to the organizations using the most AI. It will belong to the organizations creating the most value with it.