The IQA Lean Copilot combines AI and proven Lean methodology to deliver continuous value stream transparency, faster decision-making and tangible performance improvement.
The IQA Lean Copilot helps operations teams make faster, better decisions every day. It continuously analyzes production performance, uncovers inefficiencies, and recommends actions to drive measurable improvement.
The IQA Lean Copilot provides automated, real-time visibility into all value streams. The resulting Digital Value Stream maps actual material flows across all production stages and links them through the bill of materials into one end-to-end view. Instead of manual snapshots, teams get a continuously updated, complete picture of their production, with no manual process mapping required.
Integrated Lean Analytics and autonomous AI agents continuously analyze value streams including waste, bottlenecks, WIP build-up, and deviations from target values. The most critical focus areas are prioritized automatically, with root causes explained directly in the value stream context. Instead of searching for problems, teams work on the levers that deliver the greatest impact.
The IQA Lean Copilot is grounded in proven Lean methodology. Every result is rooted in real production logic and traceable down to the last detail. Production teams are productive from day one, with no need to learn new methods and no specialized knowledge in AI or data analysis required. The focus stays where it belongs: on improving production processes.
The IQA Lean Copilot automatically generates a validated Digital Value Stream that captures equipment performance, order and material flows, and cross-product dependencies through the bill of materials, all linked together. This makes it possible to trace how changes at one point affect the entire value stream. Because all analyses and recommendations operate on this validated foundation, results are reliable, traceable, and grounded in real production logic.
The IQA Lean Copilot does not rely on generic data models. It analyzes value streams based on proven Lean methods and manufacturing-specific KPIs. AI-powered techniques deepen these analyses, for example in root cause investigation or in detecting complex interdependencies, but remain tied to the underlying methodology. This means results that production teams can immediately interpret and put to work in their existing improvement processes.
The IQA Lean Copilot is productive out of the box, with no lengthy onboarding and no specialized knowledge in AI or data analysis required. All results and analyses are accessible through intuitive interfaces and a chat-based experience, using the language and methods that production teams already work with. This makes insights available across the entire organization, from the shop floor to the C-suite.
The IQA Lean Copilot can be deployed in the cloud or on-premise, meeting the highest security standards. Organizations also choose which Large Language Models are used. This ensures full compliance with IT governance and data privacy requirements, with no trade-offs in functionality.
The IQA Lean Copilot connects flexibly to existing IT systems such as ERP, MES, or shop floor data collection, regardless of vendor. Implementation typically takes just a few days and requires neither complex IT projects nor additional infrastructure. Once running, the IQA Lean Copilot operates fully automated with no manual maintenance required.
Production data is rarely perfect. The IQA Lean Copilot automatically detects implausible transaction data and can exclude it from analyses. This keeps results reliable even when source data is incomplete or flawed. At the same time, the IQA Lean Copilot makes data quality itself transparent and analyzable, so organizations can improve it systematically over time.
Live digital value stream from existing production data - for continuous value stream analysis.
Integrated analyses to increase manufacturing excellence: reduce bottlenecks, cut WIP, improve OEE and on-time delivery, among others.
Autonomous AI-based monitoring, proactive alerts and actionable guidance.
Simulation of the impact of production changes directly on the Digital Value Stream, with no additional modeling effort.
