How do you prepare an organization for AI when everyone’s work looks different?
Building a role-relevant AI learning and change strategy for thousands of employees at a global health nonprofit.
Start with different jobs and needs
Thousands of employees needed AI readiness that reflected their roles, responsibilities, and concerns.
Executive-sponsored AI readiness roadmap · 2026
- 1Listen across roles
- 2Define relevant competencies
- 3Build an adoption roadmap
The challenge
AI readiness could not mean teaching everyone the same tools. Researchers, grantmakers, operations teams, HR, finance, IT, and communications had different responsibilities, opportunities, and concerns.
The organization needed a shared direction that made room for those differences and for technology that kept changing.
My approach
I led the development of an enterprise AI learning and change strategy grounded in evidence: employee sentiment data, stakeholder intake, user interviews, organizational priorities, and people’s concerns about incorporating AI into their work.
From that evidence, I helped define the competencies employees would need and translate them into role-relevant learning journeys and adoption strategies.
What changed
The work produced an executive-sponsored roadmap for AI readiness and adoption across 2026.
It gave thousands of employees a structured path from general awareness toward meaningful application in their own work.