Target architecture & system boundaries
We translate business requirements into a technical target picture: responsibilities, data flows, interfaces, model access and clear boundaries between existing IT and new AI components.
AI consulting & solution architecture
AI consulting & solution architecture for companies
When an AI initiative becomes concrete, I clarify target architecture, data flows, RAG, agents, hosting, permissions and integrations before technical decisions become expensive code.
As an independent AI solution architect based in Austria, I combine advisory work with hands-on technical experience. I assess existing systems, data sources and requirements and deliver a traceable architecture decision that an internal team or implementation partner can execute.
Outcome
Target architecture for data, models, integrations and operations
Clear system boundaries, roles and permission paths
Reasoned choice between public cloud, EU hosting, private cloud, on-premise and hybrid
Technical guardrails for subsequent implementation
Architecture questions
The critical decisions happen before code is written.
A sound AI target architecture answers more than the model question. It clarifies which systems participate, where data flows, where RAG is appropriate, which actions are permitted and how hosting, permissions and operations fit together.
Data, RAG & integration architecture
I examine which data is actually needed, whether RAG is appropriate, where APIs or events are sufficient and how retrieval, permissions and data freshness fit together.
Hosting, security & governance
Public cloud, EU hosting, private cloud, on-premise and hybrid are compared by protection needs, operations, cost, portability and regulatory requirements – without locking the decision to one vendor.
Approach
From open architecture questions to a defensible target architecture.
The goal is not a large strategy deck. It is a technical decision basis that makes trade-offs explicit and lets implementation proceed without architectural guesswork.
01
Capture the current state and requirements
I review business goals, existing systems, data sources, interfaces, protection needs, roles and technical decisions already made.
02
Compare architecture options
Build versus buy, model access, RAG, classic search, agents, hosting and integration patterns are weighed against the actual requirements.
03
Define the target architecture
The target picture describes system boundaries, data flows, permissions, integration points, operating model and implementation guardrails.
04
Secure the decision and handover
Open risks, assumptions and next steps are documented so the internal team or implementation partner can continue without interpretation gaps.
A good fit when
The architecture is still open – not the quality of an already built AI system.
This service fits when AI should be introduced or an existing approach should be re-evaluated, but stack, data paths, hosting, permissions or system boundaries have not yet been decided soundly.
Architecture before build – evaluation after build.
If the integration path is already clear, implementation is the better fit. If a RAG system, copilot or agent already exists and the question is “Is it good enough for production?”, production readiness is the right starting point.
Next or instead
The right path depends on system maturity.
The services are deliberately separated so an architecture decision does not become an evaluation sprint and an existing PoC is not sent back into a strategy cycle.
AI integration
The architecture is set and AI should be connected to ERP, CRM, DMS, line-of-business software or existing workflows.
Production readiness
A PoC, RAG system, copilot or agent already exists and needs measurable evaluation and hardening before go-live.
Private & sovereign AI
Data sovereignty, private cloud, on-premise LLMs or a hybrid architecture are key architecture drivers.
Next step
Clarify the architecture before it becomes expensive code.
Briefly describe the goal, existing systems and the open architecture decision. I will assess whether an architecture review or target architecture is the most useful next step.