Orders without retyping
POs and order messages read automatically, validated, and entered into your ERP. Exceptions go to a human; the routine 90% doesn’t.
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AI implementation · Lebanon · Manufacturing & Distribution
For a Lebanese manufacturer, the AI worth building first is reporting: shift and production numbers that assemble themselves instead of being rebuilt in a spreadsheet every morning. Quality logs and export paperwork are usually next. We have run multi-department AI rollouts inside a 1,000-plus person Lebanese industrial group. Fixed price after a short discovery.
Industry in Lebanon runs on paper and patience. Shift output gets written on a sheet, carried to an office, and retyped into a spreadsheet that someone rebuilds every morning before anyone can see a number. Maintenance history lives in a supervisor’s head. Export documentation is assembled by hand, per shipment, and a single transposed figure costs a day. On top of that, production schedules bend around power availability in a way that no off-the-shelf system expects.
We start where the hours are, which is almost never the factory floor and almost always the office attached to it: production and shift reports that build themselves from the data already being collected, maintenance and quality logs that are captured once rather than transcribed twice, and export paperwork generated from real order data. We have done this at scale in Lebanon, running a multi-department AI rollout inside a large Lebanese industrial group with over a thousand employees, which taught us the part that actually decides success here: adoption on the floor, not model choice.
POs and order messages read automatically, validated, and entered into your ERP. Exceptions go to a human; the routine 90% doesn’t.
Daily output, downtime, and quality numbers pulled from your systems and written up automatically, in the format your managers already read.
Department-by-department AI training built around your actual tools, so adoption isn’t left to chance.
1,000+
employees. We’re running a multi-department AI program inside a large Lebanese industrial group, from training through department-level AI tools.
That is the normal starting point and it does not block anything. We build around what exists, including spreadsheets and whatever the ERP is, rather than requiring a migration first. Capturing the data once, at the point it is created, is usually the single biggest win available.
That is the real risk and we treat it as the main one. We build for the shift rather than the demo: minimal input, works in the language people use, and no extra system to log into. We also measure adoption at 30 days and fix it if usage is not there, which is what a training and rollout phase is for.
Yes, and for industrial clients it is usually where we start. We run hands-on department-by-department sessions in Lebanon, and training often surfaces the highest-value automation before a line of code is written.
The free AI audit maps your operations and shows the three systems we’d build first, in plain language, with a fixed price to start.
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