A short course covering scheduling, quality docs, and supplier admin for non-technical leaders.
Key takeaways
This lesson clarifies the difference between AI that drafts a quote or organises documentation, and AI that claims to control physical processes. Nearly every relevant tool for an operations leader falls into the first category.
It also covers common vendor terminology so leaders can evaluate pitches without getting lost in buzzwords.
Using real shop examples, this lesson shows where quoting and purchase order matching consistently deliver fast, measurable time savings, and how to structure historical data to get good results.
It also flags the most common early mistake: piloting on messy or incomplete historical data and blaming the tool for a poor first draft.
This lesson walks through how AI can support, rather than replace, a production planner's judgment, surfacing conflicts and capacity risk early without taking the scheduling decision out of human hands.
It includes examples of what a well-designed scheduling support tool flags versus what it should leave alone.
The fourth lesson covers using AI to organise and cross-check quality records against required standards, with a qualified person always signing off before submission.
The final lesson helps leaders scope a first pilot, one task, one measurable outcome, within a single quarter, and gives a one-page framework for evaluating any future AI proposal.
A 30-minute call is enough to tell you whether AI pays for itself here.