- Funny Intelligence
- Posts
- The Business Goldmine No One’s Talking About
The Business Goldmine No One’s Talking About
AI Automation 101 for Non-Coders
If you think AI is just for futuristic robots or tech geeks building sentient toasters, think again. AI automation is no more just a cool buzzword -it’s a serious business model. And no, you don’t need a PhD in machine learning to make money from it.
Let’s break it down.
AI Automation: It’s Just Another Business (But Smarter)
People love to overcomplicate AI. But here’s the secret: AI automation is just a regular business—only with better tools. It’s not some mystical force requiring wizard-level knowledge. If you can understand how businesses work, you can understand AI automation.
Think about it: A plumbing company sells a service that fixes leaky pipes. An AI automation company? It sells a service that fixes inefficiencies with smart workflows. Same game, different tools.
✅ Good at selling? You can sell AI automation.
✅ Good at managing clients? You can manage AI projects.
✅ Good at making things run faster? AI was built for that.
The key isn’t building new AI—it’s applying existing AI to solve real business problems.
Why AI Automation is an Easy Win (If You Do It Right)
AI automation works because it saves time, money, and headaches. Businesses want that. They don’t care how fancy your AI model is—they just want results.
Most people get lost in the technical weeds when starting an AI automation business. Here’s what actually matters:
🔹 Does it work? (Clients don’t care how it works.)
🔹 Does it save time or make money? (If yes, businesses will pay for it.)
🔹 Can you explain it in one sentence? (If no, it’s too complicated.)
If you focus on solving business problems instead of geeking out over AI models, you’re already ahead of most people.
The Two Kinds of AI Automation (Know the Difference)
Before you dive in, know this:
1. Applied AI Automation (The money-making kind 💰)
This is the AI that actually helps businesses. Think tools that automate emails, organize leads, or generate content.
Example: An AI-powered system that pulls Facebook leads, adds them to a CRM, and drafts a follow-up email. This is practical, easy to sell, and valuable.
2. Academic AI Automation (The overcomplicated kind 🚀)
This is the AI that researchers work on—big neural networks, complex models, and things that sound cool in theory but won’t pay your bills.
If your goal is running a business, focus on applied AI. Leave the futuristic research to OpenAI.
The 80/20 Rule of AI Automation: Reactivation is King
Here’s an uncomfortable truth: 80% of your money will come from old clients, not new ones.
Most businesses chase new leads like they’re the holy grail, but reality check—your best clients are the ones who’ve already paid you.
🔹 Follow up with past clients regularly. A simple “Hey, need help with X?” can turn into easy revenue.
🔹 Build relationships, not one-time sales. A client that trusts you is worth way more than a new lead who needs convincing.
🔹 Don’t assume silence = rejection. Most people don’t respond the first time. Or the second. Or the third. But by the fourth follow-up? They’re listening.
Automation is great, but some things are better done manually. A well-timed follow-up email can be worth thousands.
Want More Clients? Go Boring.
The best lead generation tactics aren’t always fun. They’re simple, direct, and often overlooked because they’re not flashy.
🚀 Cold Email → Sounds spammy? Done right, it’s the fastest way to land high-ticket AI clients.
🚀 Upwork & Freelance Platforms → Most people scoff at these, but they’re goldmines for finding businesses desperate for AI help.
🚀 Business Communities → Engage in industry forums, share value, and watch leads come to you.
Forget viral marketing stunts. The people making real money in AI automation are using simple, boring, but highly effective tactics.
Sell First, Build Later (Or Risk Wasting Months on Nothing)
Most people build before they sell. Big mistake.
They spend months coding the “perfect” AI tool, only to launch it and realize… no one wants it.
🔹 Instead, sell the idea first. Find clients, gauge interest, THEN build what they need.
🔹 Talk to businesses. If someone is willing to pay before you build, that’s a sign you’re on the right track.
🔹 Skip the perfectionism. You don’t need an AI masterpiece—you need something that works.
Business isn’t about who has the best product. It’s about who sells the most solutions.
Your Clients Don’t Care About How It Works—Just That It Works
You might be obsessed with the backend details of your AI automation, but guess what? Your clients aren’t.
They don’t care about:
❌ The AI model you used
❌ How many hours you spent fine-tuning it
❌ The 50-step workflow behind it
They only care about the result. If it works, they’re happy. If it doesn’t, they don’t care how hard you worked.
Focus on delivering clear, working solutions—not explaining the tech behind them.
Want to Make More? Get More Leads. Period.
If you’re struggling in business, the answer is almost always “get more leads.”
🔹 Too much work? More leads let you pick better clients.
🔹 Hiring struggles? More leads let you sell higher-ticket services.
🔹 Not making enough? More leads give you pricing power.
More leads = more control. If you’re not actively generating new leads, you’re stuck playing defense instead of offense.
Final Thoughts: AI Automation is About Business, Not Just AI
At the end of the day, AI automation isn’t about AI—it’s about solving problems and making money.
🔹 Use AI to create efficiency, not complexity.
🔹 Focus on real business needs, not theoretical models.
🔹 Sell first, build later.
The future of AI automation isn’t about who builds the best tech. It’s about who applies it the best.
Until next time, keep automating (but not everything).
Best regards,
Your AI Automation Trailblazer (Who Still Writes Her Own Emails)
Reply