Enterprise AI Upskilling
Explore how I led enterprise AI upskilling by designing human-centered enablement that turned experimentation into confident adoption and measurable impact.
Key Impact Metrics
See core impact metrics from the enterprise AI upskilling initiative I led the enablement design for below.
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Monthly active usage of Udemy-approved AI tools increased by 534%, signaling sustained adoption rather than one-time experimentation.
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AI engagement, measured by questions asked per month, grew by 956%, reflecting deeper, more frequent use embedded into daily workflows.
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Employees built over 850 custom AI assistants, with organizational AI maturity increasing as agentic assistants (those capable of acting on behalf of users) grew from 0% to 20% of all employee-created tools.
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Self-reported time savings translated into an estimated $461K–$3.97M in annualized productivity gains, calculated using Udemy-verified salary ranges by role.
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More than 60 AI Champions emerged organically through participation, supporting continued grassroots adoption and peer-led enablement across the organization. description.