Many Projects,
Many Roles,
One CAA – Context-Aware Approach
via whole SDLC
I help organisations understand what their systems actually do — through structured analysis, architecture, and AI-augmented delivery. Bratislava · Remote · International.
Every engagement starts with understanding — structured, documented, and usable after I leave.
Structured analysis for organisations that need a clear picture of what they run and what to build next.
AI as a decision-support layer across the full lifecycle — not coding, but governance, modelling, documentation.
A startup is a system, not just enthusiasm. Real projects show where structure makes the difference.
Time-boxed engagement through SystemThinking s.r.o.
Long-term TPP for the right team and problem.
One or two focused days to map a system and agree on next steps.
Each method emerged from real engagements. They work together as a system, not a checklist.
A holistic framework for IT solutions across business, system and technology domains.
Keep order among your assets. Structure knowledge so the right information reaches the right role.
Keep track of your journey to the goal — from idea through delivery to operation.
Startups need systematic approach, not enthusiasm only. Validated on real student projects since 2017.
Prepare a cleaner picture of your startup from a business and investment perspective.
Solutions built on real people, roles, systems and situations — not assumptions.
"Eight years, one client — architecture and operations running in parallel. That is what long-term trust looks like."
Framework-first, single source of truth, documentation generated as you work — not after. At VW Bratislava and Wolfsburg, architecture and IT operations ran as two parallel workstreams under one TOGAF engagement. You get a model your people can read, trust and extend long after the engagement ends.
Hands-on evaluation of Kernaro AI Beta, an Enterprise Architect add-in that brings AI into SDLC modeling workflows.
knifes.systemthinking.sk →Sense-making framework for decision-making in complex domains: classify the situation, then choose the appropriate course of action.
knifes.systemthinking.sk →Why context must be understood before any tool or technology decision is made.
knifes.systemthinking.sk →Why consistent, verified data is the prerequisite for successful solutions, effective AI and shared understanding across SDLC phases.
knifes.systemthinking.sk →Prečo informatika stále dobieha vedy v budovaní pojmového slovníka. Praktické rámce: APV, SFIA, TBM.
knifes.systemthinking.sk →Notes, frameworks and test reports behind the method, in English and Slovak.
knifes.systemthinking.sk →A few lines are enough. I reply personally and say clearly whether I can help and in what form. No forms — just email or LinkedIn. Visit measurement only with your consent (privacy).