Our Consulting Services
We accompany publishers strategically and operationally in the introduction and further development of AI-supported publishing processes. Our consulting approach combines technology expertise with deep industry knowledge. At the centre are your teams, your processes, and your publishing goals.
We don't think in tools, but in sustainable solutions that create real value and work in everyday practice.
Process Analysis and AI Strategy
We analyse your existing workflows along the entire value chain in detail. We examine processes, systems, and the collaboration between internal teams and external partners. On this basis, we develop a clear AI strategy that builds on real structures and identifies concrete potential. This creates a solid foundation for the targeted and effective use of AI.
- Full transparency over existing workflows, roles, and interfaces
- Analysis of collaboration between internal and external stakeholders
- Identification of efficiency potential and structural weak points
- Derivation of a clear AI strategy along the entire value chain
Complete transparency over processes and collaboration, plus a clear AI strategy as the foundation for targeted, structured, and scalable use of AI.
AI Use Case Development
We translate identified potential into clearly defined use cases and focus on the initiatives with the greatest impact on efficiency, quality, and scalability. Each use case is elaborated to be technologically sound, operationally feasible, and economically assessable.
- Development of concrete AI use cases along prioritised action areas
- Detailed description of application logic, data flows, and integration
- Assessment of value, effort, and business impact
- Prioritisation and roadmap for step-by-step implementation
Clearly defined, prioritised, and actionable AI use cases with measurable business impact and a solid basis for implementation decisions.
Data, Integration & Technology Consulting
We take into account standards, existing systems, and future requirements in equal measure.
- Analysis and optimisation of data structures and data quality
- Design of data flows, integrations, and end-to-end system architectures
- Consulting on migrations, transformations, and international standards
- Selection, assessment, and integration of suitable technologies incl. make-or-buy decisions
Clean, consistent data and a clearly structured system landscape as the foundation for efficient processes and sustainable further development.
