I help founders and leadership teams find the right AI opportunities, build an implementation roadmap and get their people from experiments to adoption.
The gap I help close
Most teams do not need more AI demos. They need better choices about workflows, ownership and what success looks like.
01Ways to work together
Start with the question your team needs answered now. Each engagement is shaped around a decision and a usable output.
Understand which opportunities are viable before committing to tools or a large transformation programme.
Turn scattered pilots into a sequence your team can own, measure and actually deliver.
Senior, hands-on perspective as you pilot, learn and scale what works across your product and operations.
02Experience
My perspective comes from building products, leading teams and sitting with executives through change — not from watching AI from the sidelines.
Co-founder and CPO. Built a children’s financial education platform from zero to one, grounding strategic product leadership in hands-on execution.
Director, Data Strategy. Scaled the business unit to €5M ARR with 20% YoY growth, leading 15+ consultants deploying data and AI solutions for global enterprises.
Partner Engineering & Innovation Manager. Led high-impact EMEA product launches, including Facebook News and the COVID-19 Information Center.
Technical Solutions & Product Specialist. Advanced across YouTube partner engineering, video ad tech, and cloud solutions, bridging technical architecture with product vision to drive EMEA enterprise adoption and revenue.
“Her strong knowledge of the solutions, understanding of the needs and insightful preparation inspire customers and prospects.”Kristine N. · Former colleague at Google
03The process
We start with your goals, current workflows and the constraints that a vendor demo rarely sees.
We weigh opportunity against feasibility, then agree what to test and how to judge it.
We define owners, measures and the changes people need to work differently.
04Field guides
Free, in-depth frameworks for leaders making AI decisions, written from the perspective of implementation.
Test whether your workflows, data, people, technology and organisation are ready before you commit to tools.
Read the guide ↗FIELD GUIDE · 12 MINChoose the first use cases, define ownership and measure what changes — a roadmap teams will execute.
Read the guide ↗FIELD GUIDE · 14 MINA structured framework for choosing tools that survive the gap between purchase and adoption.
Read the guide ↗FIELD GUIDE · 12 MINWhy conflating the two sets initiatives up to underdeliver — and how to scope, sequence and measure each.
Read the guide ↗FIELD GUIDE · 14 MINA week-by-week process that uses AI as a multiplier on judgment, not a replacement for it.
Read the guide ↗FIELD GUIDE · 13 MINA decision framework for when to buy a tool, when to build on a platform and when not to build at all.
Read the guide ↗05Common questions
An AI advisor helps leadership teams decide where AI is useful, what to implement first, how to evaluate tools and how to bring people along. My work connects strategy to operating decisions, pilots and adoption.
No. A readiness assessment is often the right starting point when a team has experiments underway but no shared priorities or clear owner.
I work with founders and leadership teams who can sponsor change and want practical progress. The scope depends on your current systems, team and decision timeline.
Only after the use case, data constraints and success measures are clear. Tool selection follows the problem, not the demo.
06Get in touch
Tell me what your team is trying to change. We can use a 30-minute call to see where focused advice would help.
