Where does AI actually pay off in your business?

Two calls, and you know where to start.

Call one: the decisions that run the business.

Ninety minutes on where you want to take the business, and the chain of decisions that gets it there. Every business wins the same way: customers that cost less to win and are worth more over time. What differs is the calls that make that more likely. Which customers to go after. What to quote. Who goes on the work. Which account needs a call before it’s at risk. We map who makes each call, what they decide it on, and what it moves. No prep, no deck.

You don’t need to know how every process runs. That detail comes later, from the people who own each one. You need to know where the calls get made, and you already do.

Call two: your roadmap.

An hour on what to build, and in what order. Which decisions to build the intelligence into first, and what each one needs to see. What you already have to build on. What’s in the way. What to watch as you go.

Most of all, the foundation, scoped by those decisions. The tools you already own, connected. The AI you’re already paying for, consolidated: you decide what stays before anyone adds another vendor. And how your business works, written down so AI knows it. You keep the roadmap in writing.

Then I build it with your team.

If the roadmap is worth building, I stay on a monthly retainer. You don’t need a full-time AI hire to get started, and you don’t need new software: I build in the tools you’ve already invested in. I start with your leadership team, then work directly with the people who run each part of the business: sales, delivery, operations, marketing. In live working sessions, they share their screen and drive while I tell them what to click, what to ask and what to build. They learn it by doing it.

First, the foundation.

We lay the foundation from the roadmap, in four layers. Your data sources: client records, files, email and project history, where they already live. The systems you already own, connected, with one AI setup instead of several. How the work is done and how you sound, written down so AI knows your business. And a named owner for each process. Every process after stands on it.

Then one process at a time, with the person who runs it.

This is where the process detail comes in, from the people who know it best. Client onboarding with your head of delivery. The content pipeline with your marketing lead. We watch how it runs today, cut the steps it doesn’t need, and build AI into what’s left. Fix the process first, then build the intelligence in: put AI on a messy process and you just get the mess faster. The judgment calls stay with them.

Because they build it themselves, the know-how stays in your company instead of leaving with me. They can change it when the business changes, and after a few processes they start spotting the next one before I do.

Between sessions, I’m a message away.

Your team gets a Slack channel with me, so nobody waits for the next session to get unstuck. And you get a strategic advisor on call: when a vendor pitch, a new tool or a board question about AI lands on your desk, you can think it through with me before you commit.

What we’ve already built keeps getting better. New AI features arrive every week; most of them are noise. I bring in the ones that genuinely improve a process you run, and leave the hype out. A shared page logs every session, every improvement and everything we’ve built, so the whole team can see where things stand.

And it’s yours.

Everything is built in your accounts, in the tools you already pay for, by your people, with me beside them. No new platform to get locked into. When it’s time for a full-time owner, that might be someone already on your team who learned it working alongside me, or a new hire. Either way, I help you get there and hand it over.