For years, I struggled with manual data entry. I tried everything, but nothing worked until I discovered how to leverage AI for an AI-powered inbox. In this post, I'm sharing the exact framework that helped me reclaim 15 hours per week and scale my business.
The Framework That Actually Works
Here is a simple framework for evaluating AI automation. It's not complicated, but it requires discipline.
Step 1: the data tells a different story than your gut
This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: customer feedback is the only metric that matters
Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly
Nothing works perfectly the first time. The companies that get AI automation right treat it as an ongoing process, not a one-time project.
What I've Learned From 80 Companies
Across 234 angel investments, including Anthropic, a few patterns in AI automation come up again and again.
The founders who handle AI automation well understand that the best solutions are often the simplest ones.
The Reality Nobody Talks About
A lot of the advice on AI automation rests on assumptions that made sense five years ago. The world has moved on.
The first thing to understand is that most founders overthink this and underspend on execution. I've seen this play out across dozens of companies. The pattern is unmistakable.
Many teams spend months on the wrong path before realizing that customer feedback is the only metric that matters. Once they make the switch, everything changes.
The Numbers Don't Lie
Investing early in AI automation can be the difference between raising your next round and running out of runway.
One of my portfolio companies went from struggling to profitable in under a year after they finally got serious about this. The founder told me later that they wished they'd started sooner.
This connects to broader themes around AI email, AI scheduling, AI automation, AI tools for founders, AI writing tools that I've been thinking about a lot lately.
Final Thoughts
There are no shortcuts in AI automation, but there are smarter paths.
The strongest teams treat AI automation as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with AI automation, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
Frequently Asked Questions
Q:Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
Q:What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
Q:How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.