Closing the gap between data analysis and shopfloor action. The Lean Copilot utilizes Production AI Agents to autonomously monitor value streams around the clock, uncovering root causes and providing prescriptive guidance through intuitive interfaces.
The built-in AI Agents of the IQA Lean Copilot continuously monitor the entire production environment in the background - from individual machine performance and order flows through to multi-stage value streams and supply chain dependencies. The agents autonomously handle what no production team could track manually across all these layers: detecting relevant deviations and trends, prioritizing them by impact, and alerting the right people at the right moment - so attention goes where it is actually needed.
When the IQA Lean Copilot flags a deviation, the underlying cause is explained directly within the value stream context. Because the Industrial Agents operate exclusively on the validated data of the Digital Value Stream Twin rather than unstructured data sources, results are grounded in the actual logic of production and remain traceable at every step. And for experts who want to go deeper, every flagged issue opens directly into the relevant analyses and visualizations - value stream maps, Gantt charts, loss breakdowns, trend charts — so the full context is always one click away.
The IQA Lean Copilot makes AI-driven production analysis accessible across the entire organization — from shop floor teams to production management and plant leadership. A chat-based interface lets anyone ask questions about their value streams in plain language, generate reports, or explore improvement options interactively. No data expertise required, no analytical training needed.
The Industrial Agents monitor all value streams, material flows, and machine performance simultaneously and around the clock. Cycle time deviations, WIP build-up, OEE deterioration, and bottleneck shifts are detected in real time as they emerge. Schedule adherence and process stability are tracked continuously — across all production stages and product families at once, without any manual effort.
When the agents identify a relevant deviation or trend, it appears as a prioritized action area with a plain-language explanation of what is happening and where. From there, every issue opens directly into the relevant analyses and visualizations - so production teams can move from notification to root cause without switching tools or searching for data.
A chat-based interface gives everyone in the organization direct access to production insights in plain language. Users can ask questions about value stream performance, request specific analyses, or explore the impact of potential measures - the AI-based Chat draws on the full depth of the Digital Value Stream Twin to respond with grounded, data-based answers.
The Industrial Agents continuously monitor the consistency and plausibility of incoming production data. Anomalies are flagged automatically, so data quality issues are visible and addressable before they affect the reliability of analyses.
The system architecture supports the selection and configuration of specific Large Language Models (LLMs) to meet individual organizational requirements. This ensures full compliance with internal IT governance and data privacy policies.
Live digital value stream from existing production data - for continuous value stream analysis.
Integrated analyses to reduce bottlenecks, cut WIP, improve OEE and schedule adherence.
Simulation of the impact of production changes directly on the Digital Value Stream - no simulation model needed, in real time.
