Building an AI-Native Workforce to Drive Business Impact at Core42

Accelerate Core42's transition to an AI-native organization by enabling employees to work effectively and responsibly with AI, redesigning workflows around human-AI collaboration, and embedding AI into everyday ways of working. The objective is not simply to increase AI usage, but to create measurable improvements in productivity, decision-making, and organizational effectiveness while supporting employees across different roles and levels of AI maturity through targeted enablement and development programs.

• Enabled persona-based AI capability development: Drawing on Gartner guidance around AI talent segmentation, workforce readiness, and AI capability development, Core42 developed an AI maturity assessment and deployed AI-powered evaluations to help employees understand their current capabilities and access personalized learning pathways aligned to their roles and needs.

• Supported work redesign and AI adoption at scale: Leveraging Gartner research and best practices on work-based learning and AI-enabled operating models, Core42 established a sandbox and watchtower approach that enables employees to solve day-to-day challenges through experimentation, prompt engineering, and AI agent development, supported by internal experts.

• Provided benchmarks and guidance for responsible AI adoption: Through Gartner's research, benchmarks, and advisory support, Core42 strengthened its approach to AI adoption, governance, and responsible AI, leveraging leading practices to inform decision-making, reduce implementation risk, and support enterprise-wide adoption. This internal governance work draws on the same responsible-AI standards Core42 applies in its approach to driving compliant and secure AI transformation across the UAE and globally, giving employees a consistent framework whether they are experimenting internally or building for customers.

With Gartner's support, Core42 has established key foundations for accelerating AI adoption across the enterprise.

• Established a structured approach to AI fluency: Core42 introduced AI maturity assessments, targeted learning journeys, and role-based development pathways to help employees build practical AI capabilities and work effectively and responsibly with AI.

• Expanded AI adoption beyond learning into daily work:Through hands-on experimentation, AI-enabled work redesign, and employee-led problem solving, teams are beginning to apply AI to real business challenges and everyday workflows, helping embed AI into how work gets done across the organization.

• Strengthened readiness for long-term AI transformation: By linking the program to business outcomes, Core42 has established a foundation for measuring the impact of AI adoption over time and ensuring the focus remains on meaningful business outcomes rather than technology usage alone.

• Improved organizational readiness: By combining capability building, governance, and practical application, Core42 has established a scalable framework for supporting workforce adoption and helping employees confidently navigate more AI-enabled ways of working.