Evaluation Assessment Model

Score	Competency Level	Description
1	Initial	This level signifies a foundational awareness of AI, encompassing basic principles and fundamental concepts. Individuals at this stage are typically new to the field and may have gained knowledge through introductory courses or workshops.
2	Novice	Represents a novice understanding of AI, characterized by the ability to comprehend and discuss terminology, concepts, and techniques. Novices have gained practical experience through training or participation in AI-related tasks, but still require guidance and support when applying AI in practice.
3	Intermediate	At the intermediate level, individuals possess a more comprehensive understanding of AI, enabling them to analyze the implications and applications of AI across various contexts. They can independently complete AI-related tasks and demonstrate effective problem-solving skills, requiring minimal support from experts.
4	Advanced	Denotes an advanced understanding of AI, with the ability to mentor others in applying AI competencies and explain complex AI concepts in clear and accessible terms. Individuals at this level can independently manage AI-related tasks and may contribute to the development of AI resources and training materials.
5	Expert	The expert level signifies a deep understanding of AI, enabling individuals to provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in the application of AI across diverse contexts. Experts can develop innovative AI applications and lead the creation of resources and materials for AI competency development.

Score

Competency Level

Description

Initial

This level signifies a foundational awareness of AI, encompassing basic principles and fundamental concepts. Individuals at this stage are typically new to the field and may have gained knowledge through introductory courses or workshops.

Novice

Represents a novice understanding of AI, characterized by the ability to comprehend and discuss terminology, concepts, and techniques. Novices have gained practical experience through training or participation in AI-related tasks, but still require guidance and support when applying AI in practice.

Intermediate

At the intermediate level, individuals possess a more comprehensive understanding of AI, enabling them to analyze the implications and applications of AI across various contexts. They can independently complete AI-related tasks and demonstrate effective problem-solving skills, requiring minimal support from experts.

Advanced

Denotes an advanced understanding of AI, with the ability to mentor others in applying AI competencies and explain complex AI concepts in clear and accessible terms. Individuals at this level can independently manage AI-related tasks and may contribute to the development of AI resources and training materials.

Expert

The expert level signifies a deep understanding of AI, enabling individuals to provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in the application of AI across diverse contexts. Experts can develop innovative AI applications and lead the creation of resources and materials for AI competency development.

AI Competency Level (Digital Foresight)

Score	Competency Level	Description
1	Initial	CIOs at this level possess a foundational awareness of AI and its potential implications for digital foresight, recognizing its importance in shaping future technology trends.
2	Novice	CIOs at this level can comprehend and discuss AI concepts, terminology, and techniques relevant to digital foresight, demonstrating a basic understanding of how AI can be used to analyze trends and predict future outcomes.
3	Intermediate	CIOs at this level can analyze the implications and applications of AI in digital foresight across various contexts, identifying opportunities and challenges related to AI adoption and implementation.
4	Advanced	CIOs at this level can mentor others in applying AI competencies for digital foresight, explaining complex AI concepts in clear and accessible terms to foster understanding and adoption within their organizations.
5	Expert	CIOs at this level possess a deep understanding of AI and its applications in digital foresight, enabling them to provide guidance, troubleshoot complex AI issues, and champion the integration of AI for strategic decision-making.

Score

Competency Level

Description

Initial

CIOs at this level possess a foundational awareness of AI and its potential implications for digital foresight, recognizing its importance in shaping future technology trends.

Novice

CIOs at this level can comprehend and discuss AI concepts, terminology, and techniques relevant to digital foresight, demonstrating a basic understanding of how AI can be used to analyze trends and predict future outcomes.

Intermediate

CIOs at this level can analyze the implications and applications of AI in digital foresight across various contexts, identifying opportunities and challenges related to AI adoption and implementation.

Advanced

CIOs at this level can mentor others in applying AI competencies for digital foresight, explaining complex AI concepts in clear and accessible terms to foster understanding and adoption within their organizations.

Expert

CIOs at this level possess a deep understanding of AI and its applications in digital foresight, enabling them to provide guidance, troubleshoot complex AI issues, and champion the integration of AI for strategic decision-making.

AI Competency Level (Digital Strategic Alignments)

Score	Competency Level	Description
1	Initial	CIOs at this level possess a basic understanding of AI concepts, technologies, and potential applications within a digital context. They recognize the transformative potential of AI in shaping digital strategies.
2	Novice	At this level, CIOs can initiate pilot projects and explore the use of AI tools and techniques to address specific business challenges related to digital transformation. They actively seek partnerships and external expertise to guide AI adoption.
3	Intermediate	CIOs at this level demonstrate a comprehensive understanding of AI capabilities and limitations. They effectively integrate AI solutions into existing digital systems and processes to optimize efficiency and enhance decision-making.
4	Advanced	CIOs at this level champion the integration of AI across all digital initiatives. They foster a culture of innovation, promote AI competency development within their teams, and drive the ethical and responsible implementation of AI.
5	Expert	CIOs at this level possess an exceptional ability to anticipate future trends in AI and digital technologies. They leverage AI to create entirely new business models, drive disruptive innovation, and establish their organizations as leaders in the AI-powered digital landscape.

Score

Competency Level

Description

Initial

CIOs at this level possess a basic understanding of AI concepts, technologies, and potential applications within a digital context. They recognize the transformative potential of AI in shaping digital strategies.

Novice

At this level, CIOs can initiate pilot projects and explore the use of AI tools and techniques to address specific business challenges related to digital transformation. They actively seek partnerships and external expertise to guide AI adoption.

Intermediate

CIOs at this level demonstrate a comprehensive understanding of AI capabilities and limitations. They effectively integrate AI solutions into existing digital systems and processes to optimize efficiency and enhance decision-making.

Advanced

CIOs at this level champion the integration of AI across all digital initiatives. They foster a culture of innovation, promote AI competency development within their teams, and drive the ethical and responsible implementation of AI.

Expert

CIOs at this level possess an exceptional ability to anticipate future trends in AI and digital technologies. They leverage AI to create entirely new business models, drive disruptive innovation, and establish their organizations as leaders in the AI-powered digital landscape.

AI Competency Level (Digital Transformation)

Score	Competency Level	Description
1	Initial	CIOs possess foundational awareness of AI and its potential implications for digital transformation, including basic concepts like automation, machine learning, and data analytics.
2	Novice	CIOs can comprehend and discuss AI terminology and techniques, and understand how AI can be applied to specific areas within digital transformation, such as customer experience, operational efficiency, and new product development.
3	Intermediate	CIOs can analyze the implications of AI for digital transformation across various business contexts, identify opportunities for AI deployment, and assess potential risks and challenges.
4	Advanced	CIOs can mentor others in applying AI competencies to drive digital transformation, explain complex AI concepts to both technical and non-technical audiences, and champion the adoption of AI across the organization.
5	Expert	CIOs can provide strategic guidance on AI-driven digital transformation, troubleshoot complex challenges related to AI implementation, and foster a culture of innovation and experimentation with AI within the organization.

Score

Competency Level

Description

Initial

CIOs possess foundational awareness of AI and its potential implications for digital transformation, including basic concepts like automation, machine learning, and data analytics.

Novice

CIOs can comprehend and discuss AI terminology and techniques, and understand how AI can be applied to specific areas within digital transformation, such as customer experience, operational efficiency, and new product development.

Intermediate

CIOs can analyze the implications of AI for digital transformation across various business contexts, identify opportunities for AI deployment, and assess potential risks and challenges.

Advanced

CIOs can mentor others in applying AI competencies to drive digital transformation, explain complex AI concepts to both technical and non-technical audiences, and champion the adoption of AI across the organization.

Expert

CIOs can provide strategic guidance on AI-driven digital transformation, troubleshoot complex challenges related to AI implementation, and foster a culture of innovation and experimentation with AI within the organization.

AI Competency Level (Digital Project Management)

Score	Competency Level	Description
1	Initial	CIOs possess basic awareness of AI concepts and their potential applications in project management and procurement, including understanding fundamental terminologies and recognizing potential use cases
2	Novice	CIOs can discuss AI applications in project management and procurement, understand different AI techniques (e.g., machine learning, natural language processing), and identify potential areas within their organizations where AI tools can be integrated for improved efficiency and decision-making.
3	Intermediate	CIOs are capable of analyzing the implications of AI in project management and procurement, can select and implement suitable AI tools to automate tasks, optimize resource allocation, and manage risks, requiring minimal support from AI specialists.
4	Advanced	CIOs can mentor others on the effective use of AI in project management and procurement, articulate the benefits and limitations of AI tools, and contribute to the development of internal training materials and resources for AI competency development within their organizations.
5	Expert	CIOs demonstrate deep expertise in AI-driven project management and procurement, can troubleshoot complex AI implementation challenges, guide strategic AI adoption across the organization, and champion innovation in utilizing AI for competitive advantage in project delivery and procurement processes.

Score

Competency Level

Description

Initial

CIOs possess basic awareness of AI concepts and their potential applications in project management and procurement, including understanding fundamental terminologies and recognizing potential use cases

Novice

CIOs can discuss AI applications in project management and procurement, understand different AI techniques (e.g., machine learning, natural language processing), and identify potential areas within their organizations where AI tools can be integrated for improved efficiency and decision-making.

Intermediate

CIOs are capable of analyzing the implications of AI in project management and procurement, can select and implement suitable AI tools to automate tasks, optimize resource allocation, and manage risks, requiring minimal support from AI specialists.

Advanced

CIOs can mentor others on the effective use of AI in project management and procurement, articulate the benefits and limitations of AI tools, and contribute to the development of internal training materials and resources for AI competency development within their organizations.

Expert

CIOs demonstrate deep expertise in AI-driven project management and procurement, can troubleshoot complex AI implementation challenges, guide strategic AI adoption across the organization, and champion innovation in utilizing AI for competitive advantage in project delivery and procurement processes.

AI Competency Level (Digital Technology Infrastructure)

Score	Competency Level	Description
1	Initial	CIO demonstrates foundational awareness of AI concepts and their potential impact on digital technology infrastructure, data management, and utilization. They are familiar with basic AI terminology and can participate in introductory discussions on the topic.
2	Novice	The CIO comprehends and can discuss AI concepts, techniques, and their applications in digital technology infrastructure, data management, and utilization. They have novice practical experience, possibly through training or participation in AI-related tasks, and can apply AI tools and techniques with guidance and support.
3	Intermediate	CIO possesses a comprehensive understanding of AI and its implications for digital technology infrastructure, data management, and utilization. They can analyze and evaluate AI solutions, and independently complete AI-related tasks in these areas. They can effectively communicate AI concepts and findings to both technical and non-technical audiences.
4	Advanced	The CIO has an advanced understanding of AI, enabling them to mentor others in applying AI competencies to digital technology infrastructure, data management, and utilization. They can explain complex AI concepts clearly, manage AI-related tasks independently, and contribute to developing AI resources and training materials within their organization.
5	Expert	The CIO possesses deep AI expertise and can provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse contexts within digital technology infrastructure, data management, and utilization. They can lead the development of innovative AI applications and drive the creation of resources and materials for AI competency development within the organization and beyond.

Score

Competency Level

Description

Initial

CIO demonstrates foundational awareness of AI concepts and their potential impact on digital technology infrastructure, data management, and utilization. They are familiar with basic AI terminology and can participate in introductory discussions on the topic.

Novice

The CIO comprehends and can discuss AI concepts, techniques, and their applications in digital technology infrastructure, data management, and utilization. They have novice practical experience, possibly through training or participation in AI-related tasks, and can apply AI tools and techniques with guidance and support.

Intermediate

CIO possesses a comprehensive understanding of AI and its implications for digital technology infrastructure, data management, and utilization. They can analyze and evaluate AI solutions, and independently complete AI-related tasks in these areas. They can effectively communicate AI concepts and findings to both technical and non-technical audiences.

Advanced

The CIO has an advanced understanding of AI, enabling them to mentor others in applying AI competencies to digital technology infrastructure, data management, and utilization. They can explain complex AI concepts clearly, manage AI-related tasks independently, and contribute to developing AI resources and training materials within their organization.

Expert

The CIO possesses deep AI expertise and can provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse contexts within digital technology infrastructure, data management, and utilization. They can lead the development of innovative AI applications and drive the creation of resources and materials for AI competency development within the organization and beyond.

AI Competency Level (Enterprise Architecture and Business Process Architecture )

Score	Competency Level	Description
1	Initial	CIOs have a basic awareness of AI and its potential applications in enterprise architecture and business process optimization. They recognize the fundamental concepts and terminology but may lack practical experience in implementing AI solutions within their organizations.
2	Novice	CIOs at this level have moved beyond theoretical understanding and gained some practical experience with AI, possibly through training programs or pilot projects. They can discuss AI concepts and techniques, understand their relevance to enterprise architecture and business processes, but still require guidance when it comes to full-scale implementation and integration with existing systems.
3	Intermediate	This level signifies a deeper understanding of AI and its implications for enterprise architecture and business process transformation. CIOs can analyze and evaluate AI solutions, identifying their potential to improve efficiency, optimize workflows, and ensure better alignment between business and IT strategies. They can lead AI implementation projects, collaborating effectively with technical teams and stakeholders to achieve desired outcomes.
4	Advanced	CIOs at this level possess advanced expertise in AI and its strategic application in enterprise architecture and business process management. They serve as mentors and guides within their organizations, promoting the effective and innovative use of AI. Their contributions extend to developing AI strategies that align with broader business goals and technology roadmaps.
5	Expert	This level represents thought leadership in the field of AI. CIOs are recognized for their deep understanding of AI and its transformative potential for enterprise architecture and business processes. They provide expert guidance on complex AI implementations, address challenges, and ensure the ethical and responsible use of AI across the organization. They drive the development of cutting-edge AI solutions, establishing their organizations as leaders in AI adoption.

AI Competency Level (Governance and Digital Risk Framework)

Score	Competency Level	Description
1	Initial	CIOs at this level have a basic understanding of AI concepts and their potential implications for IT governance, risk management, and compliance. They are aware of emerging AI trends and can participate in introductory discussions on the topic.
2	Novice	CIOs at this level can apply basic AI principles to everyday challenges. They can identify potential use cases for AI in their organization and engage in meaningful conversations with AI specialists. They are also beginning to explore the ethical implications of AI.
3	Intermediate	CIOs at this level possess a comprehensive understanding of AI and its applications in IT governance, risk management, and compliance. They can develop and implement AI-driven solutions to automate tasks, mitigate risks, and ensure compliance. They can also assess the potential impact of AI on their organization and develop strategies to address these challenges.
4	Advanced	CIOs at this level are recognized leaders in the field of AI and IT governance. They can mentor others, contribute to the development of AI resources and training materials, and advocate for the responsible use of AI. They can also guide the development of AI governance frameworks and policies.
5	Expert	CIOs at this level are at the forefront of AI innovation and governance. They can provide expert guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse contexts. They can also contribute to the development of industry standards and best practices for AI governance.

Score

Competency Level

Description

Initial

CIOs at this level have a basic understanding of AI concepts and their potential implications for IT governance, risk management, and compliance. They are aware of emerging AI trends and can participate in introductory discussions on the topic.

Novice

CIOs at this level can apply basic AI principles to everyday challenges. They can identify potential use cases for AI in their organization and engage in meaningful conversations with AI specialists. They are also beginning to explore the ethical implications of AI.

Intermediate

CIOs at this level possess a comprehensive understanding of AI and its applications in IT governance, risk management, and compliance. They can develop and implement AI-driven solutions to automate tasks, mitigate risks, and ensure compliance. They can also assess the potential impact of AI on their organization and develop strategies to address these challenges.

Advanced

CIOs at this level are recognized leaders in the field of AI and IT governance. They can mentor others, contribute to the development of AI resources and training materials, and advocate for the responsible use of AI. They can also guide the development of AI governance frameworks and policies.

Expert

CIOs at this level are at the forefront of AI innovation and governance. They can provide expert guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse contexts. They can also contribute to the development of industry standards and best practices for AI governance.

AI Competency Level (Digital Innovation)

Score	Competency Level	Description
1	Initial	CIOs at this level possess a basic understanding of AI concepts and terminology, recognizing its potential influence on digital innovation and business strategy. They are familiar with how AI can support data analysis, pattern recognition, and decision-making, and have a general understanding of its role in automation, personalization, and collaboration within digital innovation.
2	Novice	CIOs can comprehend and discuss AI techniques and their applications in fostering a culture of innovation. They gain practical experience with basic AI tools and techniques, enabling them to identify and evaluate digital innovation opportunities, including predictive analytics and technology scouting. However, they may still require guidance when applying AI to complex digital innovation challenges.
3	Intermediate	CIOs at this level possess a comprehensive understanding of AI, enabling them to analyze its implications for digital innovation across various business functions. They can independently complete AI-related tasks, demonstrate effective problem-solving skills, and leverage AI to lead ideation and prototyping initiatives, accelerating the innovation process.
4	Advanced	CIOs at this advanced level can mentor others in applying AI competencies to drive digital innovation and explain complex AI concepts clearly. They can independently manage AI-related tasks, contribute to developing AI resources and training materials for digital innovation initiatives, and understand how AI can facilitate partnerships with external innovators for collaboration and knowledge sharing.
5	Expert	CIOs possess a deep understanding of AI, enabling them to guide, troubleshoot complex AI issues, and demonstrate excellence in applying AI across diverse digital innovation contexts. They can develop innovative AI applications, lead the creation of resources and materials for AI competency development, and consistently drive digital innovation by leveraging AI for data analysis, predictive modeling, and identifying emerging opportunities.

Score

Competency Level

Description

Initial

CIOs at this level possess a basic understanding of AI concepts and terminology, recognizing its potential influence on digital innovation and business strategy. They are familiar with how AI can support data analysis, pattern recognition, and decision-making, and have a general understanding of its role in automation, personalization, and collaboration within digital innovation.

Novice

CIOs can comprehend and discuss AI techniques and their applications in fostering a culture of innovation. They gain practical experience with basic AI tools and techniques, enabling them to identify and evaluate digital innovation opportunities, including predictive analytics and technology scouting. However, they may still require guidance when applying AI to complex digital innovation challenges.

Intermediate

CIOs at this level possess a comprehensive understanding of AI, enabling them to analyze its implications for digital innovation across various business functions. They can independently complete AI-related tasks, demonstrate effective problem-solving skills, and leverage AI to lead ideation and prototyping initiatives, accelerating the innovation process.

Advanced

CIOs at this advanced level can mentor others in applying AI competencies to drive digital innovation and explain complex AI concepts clearly. They can independently manage AI-related tasks, contribute to developing AI resources and training materials for digital innovation initiatives, and understand how AI can facilitate partnerships with external innovators for collaboration and knowledge sharing.

Expert

CIOs possess a deep understanding of AI, enabling them to guide, troubleshoot complex AI issues, and demonstrate excellence in applying AI across diverse digital innovation contexts. They can develop innovative AI applications, lead the creation of resources and materials for AI competency development, and consistently drive digital innovation by leveraging AI for data analysis, predictive modeling, and identifying emerging opportunities.

AI Competency Level (Digital Business Model)

Score	Competency Level	Description
1	Initial	CIOs have a basic awareness of AI and digital business models. They understand fundamental concepts and terminology but may need support applying AI to specific digital business challenges.
2	Novice	CIOs at this level possess a novice understanding of AI and digital business models, enabling them to comprehend and discuss terminology, concepts, and techniques. They have gained practical experience through training or participation in AI-related tasks but still require guidance when applying AI in the context of digital business models. competency development within the organization.
3	Intermediate	CIOs at this level have a more comprehensive understanding of AI and digital business models, enabling them to analyze the implications and applications of AI across various business contexts. They can independently complete AI-related tasks within the scope of digital business models and demonstrate effective problem-solving skills, requiring minimal support from experts.
4	Advanced	CIOs at this level possess an advanced understanding of AI and digital business models, enabling them to mentor others in applying AI competencies and explain complex AI concepts in clear and accessible terms within the context of digital business strategies. They can independently manage AI-related tasks and contribute to developing AI resources and training materials tailored to digital business needs.
5	Expert	CIOs at this level signify a deep understanding of AI and digital business models, enabling them to provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse business contexts. They can develop innovative AI applications specifically for digital business models and lead the creation of resources and materials for AI competency development within the organization.

Score

Competency Level

Description

Initial

CIOs have a basic awareness of AI and digital business models. They understand fundamental concepts and terminology but may need support applying AI to specific digital business challenges.

Novice

CIOs at this level possess a novice understanding of AI and digital business models, enabling them to comprehend and discuss terminology, concepts, and techniques. They have gained practical experience through training or participation in AI-related tasks but still require guidance when applying AI in the context of digital business models. competency development within the organization.

Intermediate

CIOs at this level have a more comprehensive understanding of AI and digital business models, enabling them to analyze the implications and applications of AI across various business contexts. They can independently complete AI-related tasks within the scope of digital business models and demonstrate effective problem-solving skills, requiring minimal support from experts.

Advanced

CIOs at this level possess an advanced understanding of AI and digital business models, enabling them to mentor others in applying AI competencies and explain complex AI concepts in clear and accessible terms within the context of digital business strategies. They can independently manage AI-related tasks and contribute to developing AI resources and training materials tailored to digital business needs.

Expert

CIOs at this level signify a deep understanding of AI and digital business models, enabling them to provide guidance, troubleshoot complex AI issues, and consistently demonstrate excellence in applying AI across diverse business contexts. They can develop innovative AI applications specifically for digital business models and lead the creation of resources and materials for AI competency development within the organization.