AI Automation for Manufacturing Companies: What Works and What It Costs

As a manufacturing company, your job is to produce, not to manually retype order confirmations, maintain purchase orders in spreadsheets or call customers about delivery times. Yet that administrative work costs most manufacturing SMEs with 10 to 30 employees around 12 to 20 hours per week. Hours that appear nowhere in the budget but are felt everywhere. AI automation can take over a large part of that work. This article shows you which processes deliver the most value, what it realistically costs and how to start without a months-long project.

Where does a manufacturing company lose the most time?

In most manufacturing companies we speak with, the pain isn't in production itself, that runs. The pain is around production. Quotes drawn up manually, order confirmations still waiting to be sent, job sheets entered at the end of the day. Research by Made in Europe (April 2026) shows that 80% of SME manufacturers make insufficient use of automation in their operations, not because they don't want to, but because they don't know where to start.

• Drawing up and following up on quotes: 3–5 hours per week
• Processing and sending order confirmations: 2–4 hours per week
• Creating purchase orders based on incoming orders: 2–3 hours per week
• Processing job sheets and forwarding to invoicing: 3–5 hours per week
• Informing customers about delivery times and production status: 2–4 hours per week

Which processes are best suited for automation?

The rule of thumb is simple: if a task is roughly the same every time and involves moving information or handling communication, it's most likely automatable. For manufacturing companies, these are the processes that deliver the most value:

• Processing quote requests: a customer sends specs, an automated system retrieves the data, fills in your quoting tool and sends a draft for review. You approve and send.
• Updating order confirmations and planning: once a customer agrees, an order confirmation is automatically created and the production schedule updated.
• Creating purchase orders: based on the bill of materials, purchase orders are automatically created and sent to suppliers, no more manual retyping.
• Converting job sheets to invoices: job sheets are automatically converted into draft invoices in your accounting software such as Exact Online, AFAS or QuickBooks.
• Customer communication about delivery times: customers automatically receive an update when their order goes into production, is ready or faces a delay.

What does it yield in money and time?

Honest: what doesn't work well yet?

Not everything AI companies promise works well in practice yet. These are the three situations where automation disappoints:

• Complex quotes where every request is genuinely different and requires technical consultation: automation helps partly, but can never take it over completely.
• Poor data structure: if your order management currently lives in three separate spreadsheets and nobody uses the same naming conventions, you need to fix that first. Automation speeds up processes, it doesn't fix a mess.
• Outdated ERP without integration capability: legacy systems without standard connectors make a project significantly more expensive. Always ask this upfront when talking to an agency.

How do you start with AI automation as a manufacturer?

Most entrepreneurs think they need to start with a large digitalisation project. That's not true. The smartest first step is choosing one process that currently costs the most time and automating that, not everything at once.

• Step 1: Track for one week how many hours each administrative process costs. The totals always come out higher than expected.
• Step 2: Choose the process that is repeated most often and varies least each time. That's your starting point.
• Step 3: Request two or three quotes from automation agencies and specifically ask whether they have experience with your industry software such as Exact Online, AFAS or Ridder iQ.
• Step 4: Start with a pilot project of 4 to 6 weeks for that one process. Small, manageable, measurable.
• Step 5: Measure time savings after three months and then decide whether to expand to other processes.

You don't need IT knowledge for this. And you don't need to understand how it works. You just need to notice that it works.

What does AI automation cost for a manufacturing company?

• Small project (1–2 processes, 1–2 weeks build time): €300–€5,000 one-off
• Medium project (3–5 processes, 3–6 weeks build time): €5,000–€12,000 one-off
• Maintenance and optimisation after delivery: €100–€750 per month

I start with a free introductory conversation. We discuss what takes time, which systems you use and where automation could help. You then receive a proposal with automation opportunities, integrations, a schedule and costs.