What Should AI Actually Do for Your Business? (Lesson 1)

If you run a company and you’ve spent the last year leaning on AI, you’ve probably hit the same question: how do I actually put this to work — automatically — so it does more of the job for me?

You want it to increase revenue. Reach more customers. Sell more. Tighten up your back end. Streamline how you produce and deliver. Cut the admin that eats your week.

If that’s you, this lesson is going to open your eyes. It gives you the step-by-step framework operators are using to get there — the same one refined over a full year and delivered to 500–800 people through online classes and multi-day, in-person workshops.

Why This Matters Now

You’ve seen the headlines: companies bragging about 100% automation of their social media marketing. Sales teams running at 4x productivity. Recruitment automated by 80%. Those aren’t fantasy numbers — they’re outcomes operators are hitting today.

When you reach results like that, new horizons open up. But there’s a flip side. Adoption is inevitable, and the cost of sitting it out is real.

Think about the shift from horse-drawn carriages to the automobile at the turn of the 20th century. Very few carriage businesses made the jump — and most that did still failed within a few decades. The technology rewrote the rules of the entire industry. AI is that kind of shift. Staying afloat means being willing to rethink how your business actually works.

The Three Paths Operators Choose

Once AI starts doing the heavy lifting, you get to decide what to do with the time and money it frees up. Most operators pick one of three:

There’s no wrong answer. The point is to choose on purpose.

What “AI Automation” Actually Means

This is where it gets concrete. When operators say they’ve automated 80–100% of a process, here’s what that looks like in practice:

That’s the prize. Not “AI as a toy you chat with,” but AI as an operator that runs real parts of your business while you sleep.

Quick Tips Before You Start

• Pick your trajectory first. Decide whether you’re optimizing for profit, scale, or innovation — it changes what you automate.
• Start with one painful, repetitive process. The ones that eat the most hours are the best candidates for early wins.
• Expect the first tries to be rough. Broken deadlines and mediocre first results are normal. The operators who win are simply the ones who keep going.
• Build the culture, not just the tool. AI is holistic and multifaceted — your team has to adopt it for it to stick.
• Treat it as ongoing, not one-and-done. Come back, re-watch the parts that matter most to you, and refine as you implement.

Who’s Teaching This

Lesson 1 is led by Ian Arden, founder of ADAIA — an AI consulting and venture-building firm built solely around AI as a business enabler. His track record is the reason to listen: he first worked with AI in 2007, was an early contributor to technology later acquired by Dell for $130 million, has helped accelerate 500+ companies, invested in 50+ tech startups, and helped AI companies he backed raise more than $65 million — earning top-agency status on Upwork in the AI category. Today his team automates 80–100% of business processes for the companies they work with.

Frequently Asked Questions