Target picture and architecture
We translate business goals into a viable technical direction: system boundaries, data flows, roles, model access and operational responsibility.
Consulting & architecture
Make AI decisions that hold up technically
I guide companies on target architecture, stack selection, data flows and implementation preparation - with a technical reality check instead of tool hype.
Consulting makes sense when the direction needs to become clearer before anything is built: which use cases are worthwhile, which architecture fits, where the risks lie and which pilot is the next verifiable step?
Outcome
AI strategy with technical grounding
Target architecture for data, models, integrations and operations
Assessment of RAG, knowledge systems and AI assistance
Clear guardrails for pilot, governance and implementation
Focus areas
Architecture first, so implementation does not become a blind flight.
AI projects rarely fail because of the model alone. More critical are data quality, permissions, system boundaries, responsibilities and the path from pilot to operations.
RAG and knowledge systems
I examine which data is really needed, how it has to be structured and where retrieval, search or classic logic is the better fit.
Governance and security
Data protection, permissions, traceability and AI Act requirements are built into the architecture early, instead of being bolted on later.
Approach
From the open question to a reliable roadmap.
The goal is not the largest possible concept, but a clear technical basis for deciding the next steps.
01
Understand the starting point
I review goals, existing systems, data sources, risks and previous tool decisions.
02
Assess options realistically
Cloud, EU hosting, on-premise, open source, RAG, agents or classic automation are weighed by benefit, risk and effort.
03
Define the target architecture
The result is a traceable architecture and implementation concept with clear technical guardrails.
04
Prepare the pilot
I sharpen scope, data access, acceptance criteria and the next implementation steps so the pilot can start in a controlled way.
A good fit when
Many options are on the table and a viable direction is missing.
Consulting is especially useful when ideas, data sources or first tool attempts already exist, but architecture, governance and implementation priorities have not yet been clarified soundly.
No strategy paper without technical connectability.
I connect strategic questions with concrete system architecture: what gets connected, which data flows, who is allowed to do what, how it is reviewed and what must be clarified before productive use?
Next step
Let’s clarify which architecture your AI project needs.
In the initial call we sort out the goal, data situation, risks and the most likely sensible next step.