From Idea to Productive AI
Every publishing house is at a different point. Some start with a concrete idea, others first want to find out where AI creates the greatest value. We guide you from analyzing your processes through developing the right solutions to integrating them into your existing system landscape.
Understand Your Publishing House
Before AI comes into play, the foundation is what counts.
Every publishing house works differently. That's why we first build a complete picture of your processes, data, and system landscape. Together we identify media breaks, manual work steps, and existing potential. This creates a solid foundation for the next steps.
- Analysis of workflows along the value chain, together with editorial, production, and IT
- Making bottlenecks, media breaks, and manual loops visible
- Inventory of the system landscape: CMS, ERP, editorial system
- Assessment of data quality, formats, and degree of structuring
- Assessment of technical AI readiness as a basis for decision-making
Identify Potential
What's worth doing, and in what order?
Based on the analysis, we develop concrete AI use cases for your publishing house. Together we assess value, effort, and technical requirements, and prioritize the initiatives. The result is a roadmap with clear recommendations and realistic implementation steps.
- Development of concrete AI use cases based on the identified potential
- Prioritization by ROI, effort, and strategic relevance
- Make-or-buy recommendation and technical architecture outline
- Written roadmap with a 90-day horizon and business case
Build the Data Foundation
The basis on which AI can work productively.
Many publishing houses still work with network drives or system landscapes that have grown over time and are only partly suited to modern AI applications. Together we develop a future-proof data foundation, modernize existing structures, and, where needed, support the introduction of an editorial system.
- Building a structured data foundation where network drives or scattered storage are currently in use
- Introduction or modernization of an editorial system, e.g. Xpublisher as integration partner
- Migration and structuring of existing content into a clean, AI-ready format
- Targeted preparation of individual data domains where a foundation already exists
Implement AI Solutions
From validated idea to running solution.
Depending on the use case, we configure or develop the right solution and integrate it into your existing system landscape. We support the entire journey from first prototypes to productive operation and continuously develop the solution together with you.
- Prototype or proof of concept with real data, within a few weeks
- Full implementation including integration into Xpublisher, CMS, or ERP
- Rollout, training, and go-live support
- Ongoing monitoring, optimization, and monthly status call
Ready for the next step?
Schedule a no-obligation initial consultation. Or explore which of our AI solutions fits your project.