What I help with
Every engagement works the same way: define the process with your team, build the AI on the tools you already use, then hand it over. These pages go deeper on each part.
Deciding what to do
- A free AI readiness assessment: five questions to answer first
You don't need a scorecard to know if your team is ready for AI. You need honest answers to five questions. Here they are.
- An AI strategy you can point to
The best AI strategy for a team of 5 to 200 is usually one process, properly defined and actually used. Then the next one.
- An AI advisor who has to make it work
Advice is cheap when the adviser never has to make it work. I build what I recommend, so my advice tends to be smaller, more specific, and honest about what isn't ready.
- A fractional Chief AI Officer who builds, not just advises
Most companies under 200 people don't need a full-time Chief AI Officer. They need someone to own AI part-time, decide what to do first, and get it done.
- How to hire an AI consultant
Whether you hire someone down the road or across the country, the questions that matter are the same. Here are the seven I'd ask, including of me.
Building it
- AI consulting that ends with your team running it
Most AI consulting ends with a plan. Mine ends when your team is running one real process with AI and can change it without me.
- AI implementation: from one real process to live
Implementation is where AI plans go to die. I start small, with one process, and stay until it's running and your team owns it.
- Map the workflow first. Then add AI.
AI can follow a workflow. It can't follow a habit. My job is turning the way your best person works into a workflow AI can run.
- AI automation for the work your team repeats every week
Not everything should be automated. The right first job is the one your team does every week, the same way, and wishes it didn't have to.
- An automation consultant who tells you what not to automate
Automating a messy process just makes the mess faster. Here's how I decide what's worth automating, and what to fix first.
- Business automation for the work that keeps you up late
If you're the founder or ops lead, a lot of the repeat work lands on you. I help you hand it to AI, keep control of what goes out, and own the result.
- AI agents, built with rules and handed over
An AI agent is only as good as the rules it follows. I write those rules with your team, build the agent, and hand it over so you can change it.
- Generative AI for the reading and writing your team does every day
Generative AI is very good at a first draft and a summary. It's not good at knowing your business. I set it up so it gets the first part right and a person handles the second.
- AI integration that works with the tools you already have
AI is only useful once it can read and write where your work actually lives. I connect it to your existing tools, carefully, so nobody has to change how they work.
- An AI integration consultant for the whole team's setup
The hidden reason AI stays with two people is setup. If getting started takes an afternoon and a technical friend, most of the team never starts.
Getting the team on board
- AI training for employees, on the work they already do
Most AI training teaches people about AI. Mine teaches your team to run AI on their own work, and to share what they build with each other.
- Corporate AI training that ends in work, not certificates
If you're buying AI training for your company, the real question is what your team will do differently the week after. Here's how the options compare.
- AI for marketing agencies, used by the whole team
In most agencies, a couple of people are great with AI and everyone else is watching. Here's how I helped one agency get the whole team on board.
- AI governance your team can actually follow
For a team of 50, AI governance isn't a policy binder. It's a short set of rules, built into the way the work runs, that everyone can read.