Lean × AI: Finding the Entry Point
AI Applications
We use the TPS lens of waste and flow to audit where AI is worth applying, helping you judge which quality, scheduling, equipment, data or knowledge-management problems are genuinely suited to it.
We use lean methods to analyse the whole flow from order intake to shipment. Clarify the process and remove the waste first, then find where AI, IoT and systems are genuinely worth bringing in — so you do not end up automating the waste.
What does Lean × AI: Finding the Entry Point solve?
We start by understanding the problem on the manufacturing floor, in the management process and in how data moves — not by reaching for a tool. Typical situations include unstable delivery, quality abnormalities, excess inventory, gaps in shop-floor reporting, system data that cannot support decisions, or a manager who wants improvement results made systematic and measurable.
How we implement it
Implementation follows the TPS way of thinking: first clarify the objective, the current process, where the waste comes from and what benefit is expected, then choose the right systems, AI, IoT or automation. Every option comes back to three questions — can the floor actually use it, can improvement continue, and can managers see the right information?
Where to go next
If you are not sure which service to start with, look at our case studies, or use the enquiry form to tell us your industry, your size and the problem you are facing. We will help you work out the order of priority.