AI governance
Map how AI is used, assign owners, define rules for data and human review, and prepare evidence for internal decisions.
Founder · architect · trainer
I help organizations turn AI ambitions into clear responsibilities, practical rules and changes that work in everyday operations.
My work connects technology architecture, organizational change and training. At TECHNOMATON, I bring these disciplines together through the AI-Native Entry Framework.
Also written as Jaroslav Urbanek in English. Česká verze
Map how AI is used, assign owners, define rules for data and human review, and prepare evidence for internal decisions.
Connect use cases to the systems, teams and operating processes that need to support them.
Help leadership and teams develop practical skills and a shared approach to using AI.
The company portfolio and resources below explain the approach and scope. Earlier work in previous roles is experience of the people involved; it is not presented as delivery by TECHNOMATON.
Start with the readiness check to see which questions to address in your organization.
Open the readiness check →Find out where you stand on AI regulations