What an AI audit actually looks at
I start with where your time and money leak out. That means the repetitive work your team does by hand every week: copying data between tools, chasing invoices, answering the same questions, formatting reports, moving files around. I look at the tools you already pay for, how your team works day to day, and where things stall. Most owners already sense where the drag is. My job is to name it precisely and put a number on it.
What you walk away with
The output is a written report, not a slide deck full of theory. It ranks your three highest-value workflows to automate, ordered by dollar value, so you know what to fix first. For each one you get the exact tools to use, the prompts or setup that make it work, and a plain description of how the finished system runs. Then we do a follow-up call to make sure you actually ship it, because a report that sits in a drawer helps no one.
- A ranked list of your three highest-value workflows to automate
- The specific tools for each one, whether that is Make.com, n8n, or custom code
- The prompts and setup so your team can build or run it
- A follow-up call to keep the work from stalling
How it is different from generic AI advice
Plenty of people will sell you a list of AI tools. That is not the hard part. The hard part is knowing which work in your business is worth automating and which is not, then building something that survives contact with a real team. I run my own companies on these systems, so I am not guessing from the sidelines. I tell you where AI pays off and, just as important, where it will waste your money.
If you want to know exactly what to automate first and what it is worth, the AI Audit is the place to start. It is $497, one call and a written plan, and you leave knowing your three highest-value workflows before you commit to any build.