Human accountability stays clear
I use AI to extend research, synthesis, drafting, and prototyping, but final responsibility stays with me. Anything that reaches a client is reviewed, checked, and owned by me.
Use AI where review is practical
I use AI most where a person can check the output quickly and reliably. When review is slow, ambiguous, or high-risk, I narrow the use or avoid it.
Design around real work
I start with the workflow, the decision, and the people involved — not the tool. I apply the same principle in client work.
I use AI tools openly during engagements — clients see them in the room, not just in the deliverables. That transparency is deliberate: it builds the confidence to work with AI the same way once I've left.
Build capability, not dependency
I aim to leave clients with clearer methods, better questions, and working practices they can keep using without me.
Be transparent about AI use
When AI has assisted the process, I say so — plainly. And I never put client-sensitive information into tools that haven't earned that trust.