In the CAIPM AI talent development framework, organizations typically classify AI capabilities into tiers such as AI-Aware Workforce, AI Practitioners, AI Specialists, and AI Architects. Each tier represents increasing levels of technical depth, responsibility, and influence in AI adoption.

The group described in the scenario aligns most closely with AI Practitioners. These individuals are not deeply technical engineers but possess sufficient expertise to configure AI tools, customize workflows, and translate business needs into practical AI applications. They serve as a critical bridge between business users and technical teams, enabling effective adoption and operationalization of AI solutions within governance boundaries.

Option C, AI-Aware Workforce, refers to general employees who understand AI concepts but do not actively configure or implement solutions. Option D, AI Specialists, includes highly technical professionals such as data scientists and machine learning engineers who build and optimize models. Option B, AI Architects, operate at a strategic level, designing enterprise-wide AI systems and governance frameworks.

CAIPM emphasizes the importance of AI Practitioners in scaling AI adoption, as they ensure that tools are effectively integrated into business workflows while maintaining compliance and governance standards. Therefore, the described group is best categorized as AI Practitioners.