The program is taking shape — join us and be part of the experience
We’re working together with our speakers and partners to shape a set of in-depth sessions that build on the spirit of CMSCamp and reflect the topics the community cares about most.
If you’d like to be part of it, tickets for CMSCamp Mallorca 2026 are already available. Join early and help shape the conversations that will define the event.
AI agents are only as reliable as the content model beneath them. In this hands-on 2.5-hour workshop, you'll learn why multibrand content architectures break and why adding AI makes those failures worse. Then you'll fix it.You'll build a structured, relational content model in Hygraph that handles multiple brands, regions, and governance requirements, then connect it to an AI assistant via the Hygraph MCP Server to run real agentic operations: querying across brands, creating governed content entries, and exploring the boundaries that keep humans in control.Whether you're managing content for two brands or twenty, you'll leave with a clear framework for designing content systems that AI can actually work with and a practical understanding of what separates brittle AI workflows from trustworthy ones.
Kristy McDougal
Director of Solutions & Support
The term "CMS" once had a fairly clear meaning, mostly as a web CMS for page maintenance and delivery. Today, it covers much more: data modelling, editing, workflow, staging, delivery, integrations, and increasingly AI-supported content creation. Over time, more and more responsibilities have been absorbed into the CMS, until its central role in content architecture has become almost unquestioned.
AI changes that. It does not simply add new features; it challenges the structural role of the CMS itself. Which responsibilities still belong at the core of a content system? Which ones can be decoupled? Where does AI replace existing logic, reshape editorial workflows, or introduce new dependencies and complexity?
The key question is no longer how to add AI to an existing CMS. It is whether the traditional CMS model is still the right structural foundation for modern content systems.This workshop offers a reality check on CMS architecture. Together, we will map classic CMS responsibilities against AI impact zones and examine what belongs in the architectural core of a content system today, what should move into more specialised services, and where AI can create real strategic value instead of additional overhead.
The workshop is hosted by Stefan Priebsch - thePHPcc
Stefan is a Software Success Consultant who helps organisations turn software investments into measurable business results by replacing architectural ambiguity and growing complexity with clear decision-making and robust technology strategies. He supports teams in dealing with rapid technological change, integrating AI into everyday work in ways that are practical and secure, and designing technology landscapes that enable growth while reducing risk.
Participants will leave with a clearer framework for evaluating historically grown CMS landscapes, reassessing architectural responsibilities, and making more conscious decisions about the future evolution of their content platforms. No tool talk, no salvation promises. Just a sober look at what a CMS should be responsible for in the age of AI.