Advice I gave to a 7-figure eComm COO

The hardest part of getting AI automation clients isn't proving automation works.

It's helping them see what's possible for their specific business.

The Imagination Gap

Most business owners think in terms of hiring:

"We need someone to manage our CRM"
"We need someone to create content"
"We need someone to handle customer support"

They're not thinking in terms of automation:

"We could automatically qualify and route leads based on behavior"
"We could generate 80% of our content and have humans polish the final 20%"
"We could handle tier-1 support questions instantly and route complex issues to humans"

The job descriptions they write reveal exactly where automation should go.

Real Example: UGC Compliance

Last week, I met a COO of a 7-figure e-commerce brand. He spends most of his day reviewing 50+ UGC videos for compliance.

This can be completely automated. AI transcribes and reviews every video, checks compliance against brand guidelines, and automatically sends non-compliant videos back to creators with specific notes on what needs changing.

Zero human involvement unless there's an edge case.

He's about to hire someone for $60K/year to do this.
An automation would cost a fraction of that.

The Pattern I'm Seeing

In the past month, I've spoken to at least 3 people actively hiring for roles that could be fully automated.

Not partially.
Completely.

They're not seeing the possibilities.

The Solution: Specific Problem Examples

Stop talking about automation in general terms.

Build rock-solid examples that solve very specific, expensive problems.

Don't say "we can automate your marketing."

Say "we can automatically review all UGC content for compliance and send detailed feedback to creators."

Don't say "we can streamline operations."

Say "we can automatically extract key decisions from your leadership meetings, update relevant project docs, and notify affected team members."

Don't say "we can improve customer experience."

Say "we can automatically identify customers who've had 3+ support tickets in 30 days and trigger a personal outreach from account management."

The Decision Maker's Time Principle

Find what's consuming the most hours of a decision maker's day.

Not what's annoying.
Not what's inefficient.
What's actually eating their time that they desperately want back.

High-value people doing low-value tasks because they don't know automation can handle it.

Why This Works

When you solve a problem consuming a decision maker's time:

They feel the pain personally, so the solution is immediately exciting
ROI is obvious (their hourly rate × hours saved)
They become evangelists and tell everyone

Compare that to solving a problem for someone else on their team. It might save money, but the decision maker doesn't feel it.

The Action Plan

If you're building an automation business:

Pick 2-3 expensive, time-consuming problems that decision makers face
Build bulletproof solutions for those specific problems
Market those specific solutions relentlessly

The Reality

Thousands of business owners are writing job descriptions for $60K-$80K roles that could be solved with one-time automation builds.

They're not cheap or stupid.
They just can't see what's possible.

Show them.
Be specific.
Solve their personal pain.

Talk soon,

Mitch

P.S. What's eating the most time in your day that you wish you could automate? Hit reply and tell me. I'm collecting these to build more specific automation examples.

P.P.S. If you want some of these systems for yourself, we have 1 AI Automation spot available at MakeBigMoves. We can help with automations, but also show your whole team how to set up ChatGPT, Claude, and other AI dashboards for maximum productivity.

Hit reply if interested.

P.P.S. Here's this weeks YouTube videos.

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