Manufacturers spend tens of thousands on “AI strategies” while processes that would pay back in months sit untouched on their desks. Here are the five we see most often.
Where AI pays back fastest
1. Processing orders from e-mails: an LLM extracts items, quantities and dates straight into the ERP — saving 0.5–2 FTEs. 2. Incoming invoice checks: matching against delivery notes, error rates drop from percents to per-mille. 3. Quote replies: a first draft from your price list and history in minutes instead of days. 4. Management reports: an automatic weekly summary from production, warehouse and quality. 5. Documentation search: technicians ask in their own words, the system answers from the manuals.
Why projects fail
Not on technology — on measurement. If you do not measure how many hours a process costs today, you can never prove the automation works. That is why every AI project of ours starts with a week of measurement and ends with a dashboard of hours saved.
Human in the loop: AI on the shop floor must not decide alone
In manufacturing a mistake is expensive — a wrong material order or a wrongly passed invoice costs real money. That is why our AI never decides on its own: it proposes, attaches a confidence score, and escalates anything below the threshold to a person. The operator confirms with one click instead of re-typing, but the final word is theirs. The result is not “AI replaces people”, but “people stop doing what dulls them and do what the machine cannot”.
Start with one process, not a strategy
The most common mistake is a grand “AI transformation programme” that dissolves into meetings. The opposite works: pick the one process with the most manual work, deploy it in 4–6 weeks, measure the saving, and use that number to justify the second. Three smaller, measured wins convince leadership more than one big presentation — and they fund each other.
A realistic budget: three deployed automations with measurement from €14,900. At one FTE saved, payback is under 12 months — and that is a number any CFO will defend.