Between experimentation and production work
Many design teams are already experimenting with ChatGPT, image generators and other AI applications. What works well for individual tasks often does not yet form a coherent end-to-end workflow. Potential is left untapped, and results are not always easy to develop in a deliberate direction.
Agency and design work raises further questions: which client briefs, unpublished concepts, logos, visual assets or design guidelines may be processed by an AI system? How can confidential content be protected while respecting usage rights, internal policies, the GDPR and the EU AI Act?
Without shared rules and proven methods, teams develop inconsistent ways of working, results become difficult to trace and avoidable security risks emerge. Effective approaches are then hard to establish across the team and integrate into existing creative processes.
From briefing to handoff
Our training reflects the day-to-day workflows of design teams. Using concrete examples, we show how AI can help structure briefs, develop creative directions and copy variants, and evaluate results against defined criteria.
We demonstrate how AI agents can work within design tools such as Figma to create new concepts from clear design direction and develop existing designs with intent. Design teams can take ideas through to a working prototype themselves, while collaborating more closely with development teams to close the gap between design and technical implementation.
The focus is not merely on individual product features, but on working methods that transfer across tools and tasks. Participants learn how to direct AI clearly, develop results step by step and assess their quality critically. We tailor the content and examples to your team’s roles, prior knowledge and existing toolset.
