Generative AI (GenAI) has made its way into the enterprise. Tools are in place, pilot projects have been launched, and use cases identified. Many organizations are underway. Early successes are visible – yet so is growing uncertainty. Because feasibility and real impact are not the same.
Pilot projects offer valuable impulses, but often the next step is missing: lasting change. Isolated solutions remain disconnected. What's lacking is a unifying concept that thinks of AI at the enterprise level and embeds it in a structured way.
To unlock the full potential of AI, companies need more than just technology. What matters is an integrated approach that aligns strategy, organization, and culture. Only when these layers work together does AI become more than just another tool – it becomes the driver of real transformation.
The time for testing is over. Now it's about making an impact.
There’s no shortage of ideas for how to use AI – from automated customer service to smart sales support and the analysis of complex data. But isolated projects aren't enough. What's often missing are clear accountabilities, decision-making structures, and a shared vision. Who decides how a use case evolves? How are business units, IT, and governance effectively aligned? And how can organizations move beyond process optimization to rethink how they work and think?
This is where practice shows what truly matters.
Experience from 300+ projects: Impact is no coincidence
Across more than 300 AI initiatives, we’ve supported companies of all sizes and industries. A clear pattern has emerged: Success is not about choosing the right tool, it's about the ability to evolve structures, processes, and people in a targeted way.
The next evolution: AI agents as team members
Organizations that activate these five levers lay the foundation for a new kind of human-AI collaboration. GenAI is no longer limited to isolated applications. Increasingly, AI agents take on autonomous tasks, make decisions based on defined goals, and interact with systems and people. They are no longer just tools – they act as digital team members, integrated into processes and contributing to daily operations.
The next level is the use of networked AI agents. These agents don’t just act on external prompts, they coordinate independently, initiate workflows on their own, and take over entire process chains. The foundation: a shared goal that guides their actions. For such agent systems to work effectively and reliably, technology alone isn’t enough. What's needed is an organizational framework that defines responsibilities, embraces new leadership models, and ensures sound governance.
How we support organizations
The introduction of AI agents transforms more than just technology. It also reshapes collaboration, roles, and responsibilities. This is exactly where Campana & Schott comes in. Our strength lies in integrating AI into existing structures while creating space for new ways of working.
We support organizations in developing a company-wide target vision, establishing robust governance structures, and upskilling interdisciplinary teams. Business units, IT, and leadership are strategically connected. And our experience from 300+ AI projects confirms: True impact emerges when strategy, technology, and organization come together.
Looking to move from GenAI pilots to a strategic resource?
Let’s talk. Together, we’ll take the next step in your AI transformation – structured, impactful, and future-ready.
