I lead AI adoption for a global venture firm across 27 countries. When I work with other organisations, it’s the same job: find what’s worth doing, build it with the right guardrails, and get people to actually use it.
Built for CEOs, innovation, HR and ops leads who have the tools and the mandate, and need adoption.
Three things, in order. Most of the value is in what gets ruled out early and what keeps being used late.
Discovery sessions with the people doing the work, then scoring opportunities by impact, effort and risk. Most of the value here is in what gets ruled out.
What comes outA short list of things genuinely worth doing, with clear problem statements and success measures.
Agentic workflows, enrichment pipelines, document automation, retrieval systems that cite internal sources only. Built with human review gates and audit trails rather than bolted on afterwards.
What comes outWorking tools, plus the guardrails that let people trust them.
Training, documentation, coaching and peer culture. The work that decides whether a capable tool becomes part of how a team operates or quietly gets abandoned.
What comes outTeams who own their tools, and a repeatable way of doing the next one.
Recent outcomes, all inside global or regulated organisations.
Less manual work
Lead enrichment pipeline, scaled across 20+ markets
Adoption rate
Document automation, 20+ staff trained
Compliance errors
In audit, regulated environment
Hours saved
Per person, each week, after the Academy programme
The same arc every time, sized to the organisation.