Work
I work in three ways. Sometimes it's all three at once.
I design how teams work with AI
Most organisations adopt AI backwards. They pick a tool, run a demo and hope people use it. I start with the work itself: what's slow, what's repetitive, what requires judgement that's currently buried under admin. Then I design new workflows, choose the right tools and build the governance that makes it sustainable.
This includes: AI readiness assessments, workflow redesign, tool selection and implementation, responsible AI frameworks and ongoing advisory.
I train teams to use AI in their actual jobs
Not a keynote. Not a tool demo. Sessions built around a specific team's real tasks, real constraints and real anxieties. I've delivered over 40 of these. The format is practical: we work through live examples, build prompts together and everyone leaves with something they'll use the next day.
This works for: marketing teams, client services teams, operations teams, leadership groups and cross-functional cohorts.
I build systems and products
Scoring models. Assessment tools. Audit methodologies. Repeatable frameworks with clear delivery logic. I take ideas that work as one-off consulting engagements and turn them into products that scale — with pricing, documentation and measurement built in.
Recent examples include: an AI visibility index for higher education institutions, a composite model for benchmarking organisational AI readiness, and a digital persona tool for qualitative research at scale.
If you're not sure which of these fits, that's normal. Most projects involve a combination. The easiest next step is a conversation.