In production, small follow-up tasks weigh heavily: scheduling maintenance work, chasing a late supplier, compiling the weekly report, keeping up with regulations. They are often done in a hurry, between two stoppages.
An AI agent takes them over on a regular rhythm, from your spreadsheets and tools. It does not run the machines: it prepares work orders, purchase orders and reports so the team can decide faster.
What an AI agent takes care of#
Schedule preventive maintenance#
Work orders scheduled, parts planned and history kept for every machine. Template: Preventive maintenance.
Track non-conformities#
Every non-conformity recorded, analyzed and followed until the corrective action works. Template: Non-conformance tracking.
Reorder at the right time#
Stock, consumption and supplier lead times cross-checked: the list of orders to place, every morning. Template: Materials replenishment.
Get the production report#
The week's volumes, stoppages, scrap and yield on one page, with the main causes. Template: Weekly production report.
Where to start#
The weekly production report is a good starting point: it relies on data you already have, and everyone can judge the result from the first Monday. Describe the task to the architect, or start from an industry template: it will only ask the questions that apply to you, and the price is shown before launch. The pricing page details the plans.