Industries · Auto components
AI for auto component makers: where it pays back first.
Short answer: in quality and in quoting. Both run on the judgement of a few senior people, and both leak margin when those people are not in the room.
The three places
Where owners we meet start.
Rejections and rework
Flag the batch your senior engineer would stop, before it runs. The number: first-pass yield.
Quoting new parts
Price an RFQ the way your best estimator does, in hours, with the reasons written down. The number: quote turnaround and win rate.
Dispatch to the OEM
Rank what ships first when capacity is short, the way your plant head would. The number: on-time delivery.
How Intellumia does it
The Plant Engine, on your layer.
We sit beside your quality head for two days, write down how the calls are made, and run them on your data. In 90 days we aim to move one number, measured against a baseline taken first. You own what is built.
Plant Engine: in build
Questions owners bring
Where does AI pay back first in an auto component plant?
Usually in quality: rejections, rework and first-pass yield, because the data already exists in your inspection and machine records and the cost of a bad batch is easy to count.
Do we need new software or sensors?
Not to start. The Decision Sprint works on the data you already have: SAP or Tally, inspection sheets, machine logs.
Will it replace my quality head?
No. It writes down how your quality head decides and puts that judgement on every shift. Your people still decide.
How long before we see a number?
Five days to see the first move and its number; 90 days to move it against a baseline taken first.
Who owns what is built?
You do: the rules, the decision record and the engine, on any AI model.