Get your free AI Readiness Assessment

7 pillars, 14 questions, about 3 minutes.

See where your business stands with AI

Most owners I talk to have tried ChatGPT, but nothing in how they work has changed. The gap is rarely the technology. It's whether the business is set up to get value from it: one clear task, someone to own it, data that's reasonably clean, and a few simple rules for staff.

This free AI readiness assessment checks seven areas in about 3 minutes: goals, leadership, people, rules, data, tools, and what you already use. You get a score out of 42, a plain-English read on where you stand, and three things to do next.

It won't tell you what to build. That takes a conversation. It will tell you whether you're ready to start, or what to fix first so your first project is cheaper and safer.

Warning signs your business isn't ready for AI

These are the signs that say slow down before buying anything:

No specific task. "Use AI more" is a wish, not a project. A project starts with one task that happens every day or every week.
No owner. If nobody will run it after launch, it stops working the first time something changes.
Nobody agrees how the work gets done today. If three people describe the process three ways, AI will automate the confusion.
The data is scattered. Customer and job details live in spreadsheets, PDFs and inboxes, with duplicates and gaps. AI is only as good as what you feed it.
Your main tools can't connect. If your CRM, accounting or scheduling software can't share data, the first project is plumbing, not AI.
No rules for staff. People paste customer details into free AI accounts, and nobody has written down what's allowed.
No time or budget. A pilot needs a few hours a week from one person and a budget that matches the size of the problem. Without either, it stalls.
The team is wary. A tool nobody kept using last time makes the next one harder. That's worth fixing before adding another.

None of these mean give up on AI. They mean fix the foundation first. Often the highest-return move is a process cleanup, a data cleanup, or a simple connection between two tools before any AI touches the work. The assessment above tells you which of these apply to you.

Three myths that keep small businesses from starting

Myth: You need a big budget. For about $20 a month, anyone on your team can use an assistant that drafts, summarizes and researches. A first automation project starts at $4,995 and is priced against what the problem costs you today. If it won't pay for itself, I'll tell you.
Myth: You need a tech team. You need one person who owns the project and a few hours a week to test and give feedback. I build it in your accounts, document it, and train your team to run it.
Myth: AI is only for big, complicated problems. The best first projects are small and boring: sorting the inbox, drafting quotes, chasing late invoices, pulling the weekly report. Small teams often gain the most, because every hour of admin comes out of a handful of people.