Konrad Konarski

From Prompts to Real Operational Impact

Most organizations have experimented with Generative AI, but many pilots stall because the AI cannot reliably work with internal business knowledge, operational language, and real workflows.

This workshop breaks down what it takes to move beyond chatbots into agentic AI systems that can support execution across manufacturing, supply chain, and asset-intensive operations.

• Why GenAI pilots fail when they rely only on prompts and public knowledge
• How AI becomes operationally useful when grounded in internal SOPs, manuals, work orders, and business context
• The shift from "AI that answers" to "AI that assists and acts" across workflows
• What enterprises must enable for success: trust, governance, integration, and adoption
• How to identify high-value operational use cases with measurable impact
• Outcome: A clear understanding of what separates GenAI experimentation from scalable, enterprise-ready operational AI

• The shifting line between human work and machine work
• Skills that matter most in the next 3 to 5 years
• Workforce readiness beyond training: culture, trust, and adoption
• How leaders can drive transformation without resistance
• Building resilience in a world of nonstop technological change