Data Readiness refers to an organization’s ability to collect, store, and manage data efficiently to support AI implementation. This dimension includes data quality, security, standardization, and accessibility for AI-driven decision-making.

This dimension reflects how well AI is embraced within an organization, including collaboration across teams and departments, internal communication, and leadership support in driving AI initiatives as part of operations.

Human Capital Development refers to an organization's workforce readiness for AI, including skill development, training, and hiring professionals with expertise in AI to drive AI adoption successfully.

This dimension focuses on an organization's ability to build trust and shared understanding of AI among executives, employees, customers, and other stakeholders to ensure smooth AI adoption and alignment with business goals.

This dimension reflects an organization's ability to implement AI ethically, transparently, and in compliance with legal regulations. It includes AI governance, data privacy, and transparency in AI decision-making.

This dimension focus on how well AI aligns with an organization’s strategic objectives and its ability to generate business value, improve efficiency, and create competitive advantages.

This dimension focus on an organization’s ability to leverage AI infrastructure and tools effectively. It includes AI integration with existing systems and investments in emerging technologies.

This dimension assesses the efficiency of AI project execution, from planning to deployment. It includes project timelines, adaptability to change, and the scalability of AI implementations.