What does the AI Change Management Talent Assessment measure?

Launch Brown Bag Sessions: Have your \"wizards\" host informal sessions showing off a specific workflow they have used to solve a real problem.
Create a Prompt Library: Start a shared folder where staff can copy-paste prompts that worked well, organizing them by task (e.g., grant writing, emails).
Implement Buddy Pairing: Pair a tech-hesitant staff member with a power user to work on a project together, encouraging learning by doing.
Document the Magic: Ask your power users to write down their workflows. If they are the only ones who can do it, it's not a process; it's a dependency.
Reward the Teachers: Publicly praise not just the people who use AI well, but the people who take the time to teach others.

The Talent domain assessment measures six dimensions of workforce AI readiness: AI Literacy and Skills, Learning and Development, Culture and Change Management, Job Design and Role Evolution, Equal Access, and Recruitment. Each dimension is scored on a five-level maturity scale from Nascent to Pioneering.

Who is this AI readiness assessment designed for?

This assessment is designed for leaders of mission-driven organizations including nonprofits, foundations, and social enterprises who want to understand how prepared their workforce is to adopt and integrate AI tools effectively.

What are the five AI maturity levels in this assessment?

The five maturity levels are Nascent (minimal AI awareness), Emerging (early experimentation), Developed (competent and systematic use), Optimizing (advanced integration and scaling), and Pioneering (strategic orchestration and innovation).

AI Change Management Assessment | Domain 2: Workforce Readiness, Culture & Change Management

AI Change Management Assessment: Talent Domain