Date: April 28, 16:00 CET 📅
Duration: 30 minutes ⏳
Global competition, cost pressure, and economic uncertainty are forcing manufacturers to operate leaner and smarter than ever. Traditional Lean methods are proven - but built for a different pace. Manual processes and fragmented analysis can no longer keep up.
Production AI Agents change the equation: they autonomously monitor workflows, surface bottlenecks, and trigger improvement actions in real time. Not to replace Lean principles, but to make them faster, more scalable, and more impactful. But unstructured production data is not enough: AI Agents need a structured, validated data foundation to deliver results that hold up on the shop floor. This webinar cuts through the hype and shows where Production AI Agents deliver measurable results, where their limits lie, and how to deploy them in practice.
What distinguishes AI Agents from conventional AI tools - and why does this matter for manufacturing?
What are the real benefits, risks, and prerequisites - and is data availability truly a blocker?
Why does AI underperform on unstructured production data - and what data foundation do AI Agents actually need to deliver reliable results on the shop floor?
How do Production AI Agents augment Lean principles rather than replace them?
Why are Lean initiatives the lowest-risk, highest-impact entry point for AI Agents in manufacturing?
How to integrate Production AI Agents into existing workflows and secure workforce buy-in?
How do companies use IQA, ONIQ's AI-powered Lean Copilot, to scale continuous improvement?
What do real-world use cases reveal about transforming AI Agent output into measurable production gains?
Yvonne Therese Mertens, CEO of ONIQ GmbH, has been a key driver of digital transformation in manufacturing for many years, recognizing it as a critical success factor for the industry. With ONIQ, her mission is to seamlessly integrate Lean Manufacturing methods with intelligent software, making them more effective, scalable, and future-ready.