GenAI / AI Solutions Architecture · Entrepreneurial · DACH · On an invoice basis
From GenAI to AI solutions architecture.
I step in when companies want more than pretty slides and lab toys: real use cases, clean target architecture, RAG and agent design, governance, security, cost control and an operating model that does not implode at the first edge case.
RAG · Agentic AI · LLMOps
Governance · Security · Integrations
Production instead of playground
You bring me in when it gets serious
Typical high-pressure GenAI situations
Not for pretty future pictures. For robust systems that have to fit into real processes.
Use cases exist, but the architecture is missing
A lot of vision, little system logic. I bring structure to data sources, retrieval, roles, guardrails and the operating model.
Pilots look good, but they do not scale
What shines in a demo flow often collapses in production because of access rights, cost, quality or governance. That is exactly where I step in.
AI gets bought, but not truly introduced
I connect use case, architecture, integrations, security and rollout so that productive adoption becomes viable at all.
What I bring into the mandate
Not just AI. System design.
Use cases with technical honesty
I sort out which use cases are viable, which data basis is missing and where security or governance set the real boundaries.
RAG, agents, tools, integrations
From architecture layers and tool calling through monitoring: not as a chain of buzzwords, but as a productive end-to-end design.
Operations, risk, cost control
AI becomes expensive and risky when operations only arrive at the end. I design runtime, guardrails and ownership in from the start.
In the mandate, concretely
What viable AI architecture looks like early on
The difference does not lie in a demo, but in turning AI topics into a robust system logic with an operational perspective.
Use cases lose the fog.
It becomes visible what has real value, which data basis is missing and what should not be forced into a pilot.
Architecture gains a clear edge.
RAG, agents, tools, roles and integrations are not thought about separately, but as one connected target design.
Operations are built in.
Guardrails, monitoring, ownership and cost control do not come at the end; they are built into the architecture from the beginning.
Adoption becomes more realistic.
Pilot, rollout and operational handover follow a technical and organisational line, not just hope.
Engagement model
With a real target architecture instead of a buzzword loop.
Direct contact
If GenAI has to move from the lab into real operations and clear ownership, let us talk.
Direct contact with Roman Mayr. No intermediary layer, no diluted architecture communication. Email directly at info@x25lab.com.