Same Team.
10x The Output.

With the one team that hurts the most. On day 1 I sit down with them and set up the first assistant. On day 2 I map their processes in detail. By day 7 you have automations running on your real work, not a deck about what we might build.

An AI transformation starts at $20k for one team and 30 days of work, at a fixed scope. The final price depends on the size of the team and how many tools we build. For comparison, big consultancies quote $400k and up for similar work.

You keep the assistants and automations built for your team, loaded with your company's knowledge, and a team that actually works with AI every day. Most clients come back to roll it out to the next team, or move to a monthly plan where I keep supporting and improving what we built.

No, that's why I'm there. Over 30 days your team learns to use AI in their daily work, on their own tasks. After I leave they don't need a prompt engineer, because the assistants are already set up for their specific roles.

ChatGPT and Copilot are general tools. On their own they don't know your products, your customers, or how your sales team works. I set up shared assistants on top of the tools you already pay for, give them your documents and processes, and configure them for each role. Your data stays in your own workspace.

Agencies build workflows. I build your company's ability to work with AI. What stays behind is a system, habits, and tools your team knows how to use, not a pile of disconnected automations nobody can fix when something breaks.

Time, price, and results. A big consultancy spends six months on an audit; I have working tools in 30 days. They finish with a report; I finish with a team that works differently. And they charge many times more for a similar scope.

Security and compliance are part of the design from day 1, not bolted on at the end. Your company data stays inside your environment, on business plans that don't train on it, or on self-hosted models if that's what you need.