Advisory Practice
AI Strategy

Helping organisations identify where AI creates genuine value, involve the people closest to the work, and build the conditions for successful adoption.

There's a growing distance between what organisations are spending on AI and what returns they're actually getting, and the explanations that get offered for it tend to point to implementation speed, change management, or tool selection, all of which are real factors, but rarely the root of it.

The people closest to the work often understand AI's opportunities, and its risks, before leadership does. Successful AI strategy creates ways for that knowledge to shape decisions.

What I do
01
AI Strategy

AI should support your organisations goals, not determine them. This is the work of getting that sequence right, with the people closest to the work always part of how we get there.

02
AI Adoption

I help build the conditions needed for organisations involve the people closest to the work have a genuine role in shaping it, ensuring the best context on what would help versus what would make things worse.

03
Behavioural Adoption

Drawing on my experience leading behavioural systems at Riot Games, I help organisations understand why people adopt or resist new technologies, and how to design AI initiatives that people genuinely embrace.

"She blended technical and analytical skills with an understanding of human psychology and delivered far above and beyond expectations."
Adrienne Shulman — Co-founder at GM Farcaster
Selected Experience
Manager of Product Management
Riot Games

Led behavioural systems for one of the world's largest online games, across a platform of over 140 million monthly active users.

Senior Product Manager
Cornerstone OnDemand

Built enterprise software used by global organisations across 180 countries.

Fractional Product Leadership
LUMOS

Built a product function from the ground up for an Australian startup, from priorities and roadmap to a structured Product Lead hire.

Perspectives

Writing on human-centred AI strategy, employee participation, and what organisations get wrong when they treat AI as a technical and change management problem.

The most important input in your AI strategy is the one you're probably not using
On why organisations rolling out AI without genuine employee participation are making a costly mistake, and what a real alternative looks like.
The structural work your AI strategy is probably skipping
On the governance, participation, and accountability structures that make the difference between AI that works and AI that just looks like it does.
My Perspective

The organisations that benefit most from AI won't necessarily be those with the best models. They'll be the ones that build the trust, participation, and decision-making structures needed to use those models well.

Work With Me

Get in touch

I take a small number of engagements at any given time, working with mission-driven organisations, early-stage founders, and social impact teams. If this sounds like what you need, I'd love to hear from you.