Blog
Practical insights on AI strategy, implementation, and governance. From experience, not theory.
| Published | Essay | |
|---|---|---|
EU AI Act Compliance Guide: What Polish Companies Need to Do Before August 2026The EU AI Act applies to every company using AI in Poland. Here is what it requires, which risk category your systems fall into, and a practical checklist for compliance before the August 2026 deadline. | Ai Strategy | |
AI Agents in Business: A Strategic PerspectiveAI agents are moving from research demos to enterprise deployments. A strategic framework for deciding when agents make sense, assessing organizational readiness, and building governance before scaling. | Ai Implementation | |
AI Funding and Grants for Polish Companies in 2026: A Practical OverviewPoland offers several public funding programs for AI adoption in 2026, from KFS training grants to EU co-financed innovation paths. An overview of the landscape, with a pointer to the full Polish-language guide. | Ai Strategy | |
Common AI Implementation Mistakes: 7 LessonsSeven hard-won lessons from AI projects at Polish companies. The patterns that kill AI initiatives are rarely technical -- they are organizational, political, and cultural. Here is what I have seen go wrong and how to avoid it. | Ai Implementation | |
AI Adoption Strategy: A Framework for Mid-Size OrganizationsA practical framework for mid-size organizations planning AI adoption, covering readiness assessment, governance structure, pilot selection, and scaling from experiment to production. | Ai Strategy | |
Why AI Governance Is Not the Enemy of InnovationAI governance often gets framed as bureaucracy that slows teams down. In practice, the organizations that govern AI well ship faster and with fewer disasters. Here is why. | Ai Strategy | |
From AI Pilot to Production: The Organizational PlaybookMost AI pilots never reach production. The gap is not technical -- it is organizational. A playbook for moving AI projects from proof-of-concept to deployed systems that deliver measurable value. | Ai Implementation | |
Measuring AI ROI: Beyond the Productivity MythThe standard productivity metrics for AI are misleading. Real ROI comes from measuring decision quality, error reduction, and time-to-insight -- not lines of code or documents processed. | Ai Strategy | |
Building a Production RAG: Architecture, Chunking, and the Subtle Science of ContextLessons from building and maintaining production RAG systems -- covering architecture decisions, chunking strategies, metadata discipline, and the operational realities that tutorials skip. | Ai Implementation | |
UBI and the Age of AutomationAn AI practitioner wrestles with Universal Basic Income -- what changes when you are personally building the automation that displaces workers, and why the standard narratives about retraining and market adjustment are insufficient. | Ai Strategy | |
Stop Chasing Clients: The Strategic Guide to Thriving as a SpecialistWhy most consultants stay stuck competing on price, and the uncomfortable truth about what it takes to become the specialist that clients seek out instead of the generalist who chases them. | Ai Leadership |
Written by Damian Krawcewicz. No ghostwriters, no content agency.