How it works
We start by defining the real pain. Then the order to solve it in. Then I help you build it.
Where are you today?
Most people arrive at Level 2 or 3.
Level 1
Individuals experimenting independently, no governance, no shared approach.
Level 2
Copilot or ChatGPT licensed, training done, results variable.
Level 3
A few good prompts in use, but no system, no governance, no customer grounding.
Level 4
Policy exists, shadow AI mapped, but no methodology producing consistently strong outputs.
Level 5
Customer-voice extraction, governance live, working independently, outputs measurably better.
Most of the work is getting from where you are to Level 4. That is where things start compounding instead of resetting.
On proof
Client engagements are confidential by default. Reference customers are available on discovery calls.
Not sure where you are? The AI Readiness Assessment takes 4 minutes. Eight questions, no signup, and it tells you which stage you are at and what to do next.
Methodology
The Prompt. Refine. Deliver. Repeat. methodology. When AI projects fail, it's almost never the model. Usually it's a vague problem with no clear metric and nothing shipped.
We begin with one pain you already feel. Maybe launches are dragging. Maybe research never leaves decks. In 60-90 minutes, we pick a single outcome with a board-visible metric, set the baseline, and frame the hypothesis: when we fix this, here's what will change and how we'll know.
Why you should care:
When you start with a specific pain and a metric, you're not buying "AI", you're buying a path to relieve something that already hurts.
Frequently Asked
Prompt injection is the number one OWASP LLM risk, and it is real. But the model side of it is well understood: OpenAI reports 99.5% mitigation on synthetic web injection attempts, and 99.9-100% on critical actions like financial data or personally identifiable information. The residual risk is not the AI, it is how companies configure access: giving AI tools access to everything instead of scoping, leaving documents shared openly in Drive or SharePoint, turning everything on for everyone with no policy. That is exactly what the governance framework prevents. The companies that get burned are the ones who turned AI on without thinking. Building the framework first is how you use AI confidently.
You own everything: the prompts, the skills you built, the governance framework, the documentation, the workflows. Every engagement is a co-build, not a delivery. You are taught to run and extend the systems yourself. There is no retainer requirement and no consultant lock-in. If you later bring someone in to help run it, they inherit a functioning system rather than starting from scratch.
Smaller than what? There is no minimum. Some people book one session to get unstuck on a specific thing. That is a perfectly good way to start and a perfectly good way to finish.
Usually faster than people expect on the small things, and slower than they hope on the big ones. The first session normally produces something usable the same week. A full system that replaces how you work takes as long as it takes.
Thirty minutes. No slides. We diagnose where you are, and decide together whether it makes sense to work together.
Get in touch→