
Build what makes your company unmissable.
I work with leaders to turn changes in technology and human behavior into products, AI-enabled experiences, and new ways of working. We connect strategy with hands-on building, strengthening human judgment and the expertise that sets your organization apart.

One-to-one with executives60-minute working session + written recap
Executive AI advisory
I work one-to-one with executives to build AI fluency and make better use of the technology available to them. Bring a specific question, or come knowing you could be using AI more effectively. We look at the tools you have, how you work, and where AI could help. Together, we choose a starting point, build or practice an approach, and work through how to evaluate the results.
Possible starting points
- Find useful starting points in the AI tools and technology you already have.
- Connect meeting notes, documents, and industry research to your day-to-day work.
- Build and practice a workflow, dashboard, or first prototype together.
What you leave with: A clear starting point for using AI in your work, practical progress you can continue, and a written recap with next steps.
Explore starting points & session details
- Prepare for a leadership meeting: bring together meeting notes, research, and business priorities to identify the decisions to make, evidence to check, and questions to raise.
- Put your AI meeting notes to work for decision preparation, follow-ups, and spotting patterns across conversations.
- Build an industry research workflow that tracks competitors, emerging technology, and changing customer expectations, with sources you can check.
- Use connectors to bring relevant documents, calendar context, and meeting notes into the work, so you can draw on information across your tools.
- Explore plugins and create reusable skills for recurring work, such as leadership briefings, strategy reviews, or synthesizing research.
- Make a first dashboard, decision tool, or prototype around a business question, and work through how to evaluate and develop it further.
Your session and next steps: You leave with a clearer understanding of where AI fits into your work and a next step you can take on your own. Depending on our focus, that could include a workflow you’ve practiced, a first version you can develop further, or a decision with clearer reasoning. I send a short written recap of what we explored, what needs checking, and what to do next. We agree on a manageable focus together; additional sessions or a larger engagement are scoped separately.

For product and business leadersFocused engagement
Experience-Led Growth Sprint
I work with product and business leaders when adoption or repeat usage has stalled, customer expectations are shifting, or the experience needs a stronger competitive edge in the market. Together, we identify how your product, service, or customer experience can become more valuable to people, build loyalty, and make usage stick. We develop those opportunities into concepts and prototypes your team can evaluate and test.
What we work on
- Identify what could increase adoption, repeat usage, and loyalty.
- Define opportunities that strengthen your competitive position.
- Develop concepts and prototypes to decide what to build and test next.
What you leave with: A defined opportunity, a shared strategic direction, and concepts or prototypes with a prioritized path forward.
Explore the work
- Understand what customers need and why they engage, return, or leave. Examine customer behavior, research, and the current experience to identify where value or trust breaks down.
- Find opportunities across your product, service, membership, or wider customer journey. Connect unmet customer needs with business priorities to define where a more distinctive experience can increase adoption, deepen loyalty, and strengthen your competitive position.
- Evaluate where AI or other technology could improve the customer experience. Define the role it should play, the value it creates, and what people need to trust and use it.
- Make the strongest opportunities tangible through concepts or prototypes. Give customers, stakeholders, and your team something concrete to react to, compare, and test.
- Establish what to pursue first. Align product, growth, and leadership around the evidence, priorities, and next decisions needed to move the work forward.
Outcomes and scope: Your team can choose where to invest, explain the reasoning, and begin testing a direction. You leave with a defined opportunity, the research and strategic reasoning behind it, concepts or prototypes, and a prioritized roadmap for what to build and test next. Deliverables are tailored to your product’s maturity and the agreed scope.
Typical deliverables & artifacts
Tailored based on your product maturity and project scope
- Ecosystem Audit & Touchpoint Journey Maps. Mapping the full experience and opportunity across Customer, Company, Category, and Context to pinpoint where value is breaking or falling short.
- Consumer Mindset & Stakeholder Discovery. Targeted interviews and synthesis that surface what your users actually need, care about, and expect.
- Directional Concepts & Interactive Prototypes. Visual concepts, swipes, and prototypes that bring fresh experience ideas and digital utility to life.
- Experience-Led Growth Strategy & Prioritized Roadmap. A clear North Star vision and actionable strategic framework aligning product, growth, and leadership teams on what to build and test next.
How the engagement works
Scope, depth, and timing are agreed around your project.
- Discovery. Stakeholder & consumer discovery, 4Cs ecosystem audit & journey mapping.
- Analysis. CX gap analysis & white space identification.
- Concepting. Directional prototyping & visual concepting.
- Roadmap. Experience-led growth strategy & prioritized roadmap readout.
“She helped us think in terms of how to bring real customer value in a space that is often purely transactional.”
Rich Barrett · Director of UX Design, Ally Bank

For teams and organizationsScoped to your team and work
AI adoption and enablement
I work with leaders to make AI a force multiplier for the expertise, creativity, and judgment that make their organization distinctive. Starting with how people work, we identify where AI can add value and orchestrate collaboration across people and AI, with shared context, clear ownership, and practices that strengthen human capability.
What we work on
- Identify where AI can amplify your team’s expertise and creativity.
- Orchestrate shared context, tasks, and decisions across people and AI.
- Build AI fluency, clear ownership, and sustainable working practices.
What you leave with: A tested use case, clear ownership and quality checks, and a practical plan for developing the capabilities your team needs next.
Explore the work & approach
- Understand the work and choose where to start. Identify where expertise lives, how decisions get made, and what helps or prevents people from adopting new practices. Examine business priorities and existing tools, choose a use case, and define what successful adoption would look like.
- Extend the expertise that makes your organization distinctive. Identify where AI can amplify people’s creativity, judgment, and domain knowledge, and what context and human contribution the work requires.
- Build AI fluency through practice. Develop and test AI-enabled workflows with the people using them, strengthening their ability to create, question outputs, and evaluate quality. Build on the expertise already in your organization.
- Orchestrate work across people and AI. Move from individual use to team collaboration: sharing context, coordinating tasks, and handing work over, with clear ownership and points for human judgment.
- Make adoption sustainable. Establish working rhythms, incentives, and shared standards that support continued learning and accountability. Define how quality will be reviewed and how workflows will improve as your team learns.
Outcomes and scope: You leave with a tested approach to a defined use case, clear ownership and quality checks, and recommendations for the capabilities and working practices to develop next. Your team can explain how people and AI will coordinate the work, where human judgment is required, and what needs to change before extending the approach.
Built emerging-technology practices and AI workflows, working with leaders and teams as new ways of working took hold.
Case Studies
A few examples of what this looks like in practice, from rethinking customer value to shaping products, experiences, and AI-enabled services.
7 projects
Have something else in mind?
If your project crosses a few of these areas, tell me what you're working on. We can figure out the right engagement together.






