Note: You have to entirely focus on the problem you are solving. Keep reminding yourself: I am solving a problem. If you don't solve a problem, you have a problem.

1. Know Why You Want AI

Ask yourself:
👉 What problem do we need to solve?
👉 Can AI actually help us save time, make money, or work smarter?

🔑 Example: "Our customer service gets too many repetitive questions. Can AI help with that?"
 

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2. Check Your Data

AI runs on data. So:
✅ What data do you already have? (Sales numbers, customer emails, inventory lists..)
✅ Is it organized, or is it a mess?

🔑 Quick tip: You don’t need perfect data, but you need something to start with.

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3. Start Small And Simple

Don’t dive into complicated projects right away.
👉 Pick one easy win that’s not risky but can show results fast.

🔑 Example: Use an AI chatbot to handle basic customer questions. Fast to set up, and you’ll quickly see if it works.

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4. Find The Right People

You don’t need to be an AI expert. But you should:
✅ Talk to your IT team (if you have one).
✅ Find an external partner (there are companies that help with this).
✅ Get buy-in from your boss—they’ll want to know the potential benefits.​​​

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5. Try it, Learn & Improve

No one gets it perfect at first. So:
✅ Test the solution with a small group.
✅ See what works and what doesn’t.
✅ Improve as you go.

🔑 Real talk: AI isn’t magic. You might need to tweak things, but that’s normal.

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6. Show Results & Scale Up

When you see good results:
👉 Share them with your team or boss.
👉 Use those results to expand to other areas (e.g., from customer service to sales forecasting).​

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