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How Should Manufacturing Companies Start with AI?

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🏭 How Should Manufacturing Companies Start with AI?

AI adoption isn’t about hiring a data scientist or launching a massive transformation.

It’s about practical steps that deliver value fast.

Here’s how mid-sized manufacturers can start today 👇



✅ 1. Start with a use case, not the tech

Look for repetitive tasks:

• Generating sales quotes

• Summarizing service reports

• Searching manuals or part specs

Pick a pain point, not a “cool idea.”



✅ 2. Use the tools you already have

Test with ChatGPT, Copilot, or Claude.

Upload a manual. Draft an email. Compare product specs.

Just try it. No IT project required.



✅ 3. Pick champions, not committees

Find curious people in sales, ops, or engineering.

Let them explore and share what works.



✅ 4. Make training practical

Forget generic “AI 101.”

Instead, run 45-min team workshops:

→ “How to summarize a spec sheet”

→ “How to rewrite a supplier email”

Give examples. Provide templates.



✅ 5. Start with low-risk experiments

No automation. No customer data.

Just human-in-the-loop use cases.

Safe. Fast. Valuable.



✅ 6. Measure time saved, not just cost

Track how long things took before and after AI.

Show quick wins.



✅ 7. Plan integration later

Once use cases stick, THEN explore:

• ERP plugins

• Quote configurators

• Smart document search

• Field service tools



🧠 AI adoption isn’t about doing everything.

It’s about doing one thing that works—then scaling.
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