Vitalii Pavliuk at Lviv AI Day 2026

Making AI work where the cost of failure is high

What actually breaks when a large language model moves from a demo into production: hallucination risk, evaluating multi-stage pipelines, and the cost of inference. Drawn from a screening pipeline running on local models inside a customer's own security perimeter.