Artificial intelligence
AI with a sense of proportion, in your existing systems.
Many AI initiatives do not fail because of the model, but because of data, interfaces and operations. We first assess where AI delivers measurable value and where a simpler solution works better. Whatever pays off, we integrate securely into your platforms.
Use cases
Where AI creates real value in platforms.
AI agents in content & commerce
Agents that create, review and translate content, enrich product data and relieve editorial teams. Embedded in your CMS and your shop, with human approval.
Accessible content with AI
AI supports editors with alternative texts, plain language and clean structure. The editorial team reviews and approves. This helps with the requirements of the European Accessibility Act.
Search, assistance and knowledge
Semantic search and assistants based on your own content and data, for example with Elasticsearch and retrieval-augmented generation.
Governance and data sovereignty
AI with clear boundaries: data protection, traceability and the requirements of the EU AI Act built into the architecture from the start.
Approach
From use case to operations.
01
Assess the value
Together we evaluate use cases by effort and measurable value and review data and systems. A well-founded no is also a result.
02
Pilot in your platform
A clearly scoped pilot directly in your CMS, shop or process, not in an isolated demo.
03
Operate and scale
Monitoring, cost control, quality assurance and expansion to further areas.
Prototypes & feasibility
Test first, then invest.
Idea sprint, feasibility study or working prototype: within a few weeks you know whether your AI idea holds up.
Governance
Responsible from the start.
- Data sovereignty: your data stays in your environment, with European providers where required.
- EU AI Act: classification of use cases and documentation from day one.
- Human in the loop: approvals wherever quality and liability require them.