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15. Apr 2026

Navigating the AI Fog: The Compass for Building a New Marketing Operating Model

by Holger Schmitz

Marketing Disruption Ahead

“How do we leverage AI for marketing?” This question is currently top of mind for most organisations. Marketing teams are exploring how AI solutions can reduce workload: automated content creation, data-driven personalisation, real-time campaign optimisation. And make no mistake—these are the right priorities.

But the far more crucial question is: “What is AI doing to marketing?”

Because the relationship between people and brands is undergoing a fundamental shift. Organic SEO traffic is taking a hit as people consult with AI assistants instead of scrolling through search results themselves. To make it past AI filters and into personalised recommendations, brands need to constantly track and manage their perception across Large Language Models (LLMs). Alongside Customer Experience, Agent Experience is becoming just as critical. Generative Engine Optimisation (GEO) is only the beginning of a disruption that will reshape the entire marketing landscape.

What this means is clear to most: We are facing a massive transformation of marketing organisations and their operating models. In an AI-driven world, marketing will have entirely new responsibilities. AI solutions can take over a significant share of workflows with direct impact on processes, roles, and organisational structures. This also affects the entire ecosystem of collaboration between marketing departments and their agencies. Managing these new structures will require a shift not only in leadership, but also in goals and governance.

How can marketing leaders find their way through the flood of new AI possibilities? How can they actively shape the transformation amid this momentum and complexity?

We know there are no simple answers and certainly no one-size-fits-all solutions. Still, the following five action areas can help any marketing organisation find its own way forward.
consulting approach.

Navigating the AI Fog

The following framework outlines an ideal transformation, though reality is rarely as straightforward. Yet, with every iteration, the marketing organisation builds resilience and deepens its learning curve.
Whether linear or through learning loops: these five action areas will help maintain strategic clarity in turbulent times.

1. Reimagine marketing for an AI-driven world
The path to a new marketing operating model begins with the fundamental question: What capabilities does our marketing organization truly need in an AI-driven world? What is especially relevant for our brand?
For some companies, the focus will be on ensuring their brand is visible and correctly categorised in AI-generated results. For others, the priority will be hyper-personalising audience communication. And some may choose to lean into their human side, positioning themselves as a brand for authentic, human-led experiences.
The key is to focus on what actually drives value and then build the capabilities to deliver it. Only then will you have a clear strategy for moving forward.

2. Rebuild processes around AI capabilities and the "Human in the Lead"
Once the core value-creation tasks in marketing are established, they can be broken down into specific sub-tasks and mapped into new workflows. This is not just about accelerating existing processes, but about rethinking them entirely with AI. Tools like process heatmaps help identify where automation, AI assistance, or agentic systems generate genuine efficiency.
At the same time, humans remain vital—but in a redefined role. It is no longer enough to involve people merely as a "Human in the Loop," for quality assurance and fact-checking. Strong marketing requires a Human in the Lead: people who set goals, formulate ambitions, clarify priorities, provide context, and consciously direct AI systems. Not as mere reviewers, but as a forward-looking, guiding force working in synergy with the machine.

3. Reinvest AI efficiency gains
One of the greatest opportunities lies in using AI for more than just cost-cutting. While automating tasks to save money creates short-term efficiency, it often leads to a loss of effectiveness in the long run.
The central questions are therefore: Where do we redirect this newly gained time, attention, and creative power? What other capabilities do we need now to generate value for our business in an AI-powered landscape?
With new priorities like GEO and 'Agent Experience' emerging, there is plenty of room for reinvestment. For instance, teams can now focus on ensuring product descriptions or customer reviews are optimised for AI assistant recommendations. Addressing these tasks requires collaboration between marketing, customer support, and product management.

Navigating these decisions requires clear governance. Who has a voice? Who decides? A balanced approach across all leadership levels combined with decisive executive alignment is critical for success.
This highlights how closely action areas 1 through 3 are interconnected: Strategic direction (1) dictates process redesign (2), and the resulting efficiency gains (3) flow back into building strategically prioritised capabilities.

4. Move from new tasks to new structures
When task profiles, work volumes, and skill requirements shift fundamentally, organisational structures cannot remain static. The question then arises: Which structure best supports the new logic of value creation in marketing?
Which activities make sense to group together going forward? Where are new interfaces needed? Which roles become more important? Which diminish in scope? And where can agile, temporary set-ups be more effective than classic, rigid teams?
Here, the rule is: Form follows function. First, the crucial capabilities for marketing in the world of AI must be clear. Only then should the appropriate organisational model be developed—not the other way around.

5. Take the organization and its people through the shift
Transformation is a constant balancing act between technological potential, organisational reality, and human mindset. This is why AI initiatives are never just about tools or processes. They are fundamentally a leadership and change management challenge.
Change creates uncertainty. Roles evolve and shift towards new priorities. Some activities lose importance, while others emerge. Many people in marketing will need to elevate their skill sets in a short time. This pressure to learn and adapt requires a clear, reliable framework.
It is up to leadership to offer guidance, foster a learning environment, and be transparent about the impact of change. Lead with honesty and clear action, not empty reassurances.

Conclusion: The Compass for Building a New Marketing Operating Model

Addressing these five action areas gives you a clear roadmap for transformation. It is not about perfection, but about conscious management: continuously realigning your strategy and empowering your team. The real outcome is not a new structure, but an organisation that has mastered the art of continuous change.