A.1 IS and Business Strategy Alignment

1.1 Analyse organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement, using enterprise case studies or organisational datasets.

Assessed by Written Report, Case Study Analysis, and Data-Driven Mapping, assessed for evidence-based analysis of organisational strategies and operating models and for clear identification of IS and AI needs, priorities, risks, and opportunities.

1.2 Evaluate the alignment between business strategy and existing IS, data, and AI capabilities, identifying gaps and improvement opportunities by mapping technology portfolios to strategic objectives.

Assessed by Alignment Assessment Report, Portfolio Review, and Gap Analysis Presentation, assessed for justified mapping of IS, data, and AI capabilities to strategic objectives and for identification of gaps and improvement opportunities.

1.3 Assess IS and AI governance frameworks, including ethical, legal, regulatory, and risk considerations, in support of strategic alignment, in compliance with industry standards and organisational policies.

Assessed by Governance Assessment Report and Compliance Checklist Submission, assessed for coverage of ethical, legal, regulatory, and risk considerations and for demonstrated compliance with industry standards and organisational policies.

1.4 Design and evaluate integrated IS models and enterprise architectures that support business objectives and strategic decision-making, using modelling tools such as ArchiMate or UML.

Assessed by IS/Architecture Design Diagrams and Modelling Artefact Review, assessed for correct use of modelling tools such as ArchiMate or UML and for alignment of integrated IS models and enterprise architectures with business objectives and strategic decision-making.

1.5 Apply AI and data-driven solutions to improve business processes, performance, and competitive positioning, by implementing predictive analytics, process automation, or recommendation systems.

Assessed by AI/Data Solution Prototype, Demonstration, and Performance Metrics Report, assessed for implemented use of predictive analytics, process automation, or recommendation systems and for evidence of business process, performance, or competitive-positioning improvement.

1.6 Critically evaluate the organisational impact of IS–business alignment initiatives, using appropriate performance and value-creation metrics, such as ROI, KPIs, or balanced scorecards.

Assessed by Organisational Impact Report, Value-Creation Analysis, and Oral Defence/Presentation, assessed for critical evaluation of organisational impact using appropriate performance and value-creation metrics such as ROI, KPIs, or balanced scorecards.

1.1 Analyse organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement, using enterprise case studies or organisational datasets.

Assessed by Written Report, Case Study Analysis, and Data-Driven Mapping, assessed for evidence-based analysis of organisational strategies and operating models and for clear identification of IS and AI needs, priorities, risks, and opportunities.

1.2 Evaluate the alignment between business strategy and existing IS, data, and AI capabilities, identifying gaps and improvement opportunities by mapping technology portfolios to strategic objectives.

Assessed by Alignment Assessment Report, Portfolio Review, and Gap Analysis Presentation, assessed for justified mapping of IS, data, and AI capabilities to strategic objectives and for identification of gaps and improvement opportunities.

1.3 Assess IS and AI governance frameworks, including ethical, legal, regulatory, and risk considerations, in support of strategic alignment, in compliance with industry standards and organisational policies.

Assessed by Governance Assessment Report and Compliance Checklist Submission, assessed for coverage of ethical, legal, regulatory, and risk considerations and for demonstrated compliance with industry standards and organisational policies.

1.4 Design and evaluate integrated IS models and enterprise architectures that support business objectives and strategic decision-making, using modelling tools such as ArchiMate or UML.

Assessed by IS/Architecture Design Diagrams and Modelling Artefact Review, assessed for correct use of modelling tools such as ArchiMate or UML and for alignment of integrated IS models and enterprise architectures with business objectives and strategic decision-making.

1.5 Apply AI and data-driven solutions to improve business processes, performance, and competitive positioning, by implementing predictive analytics, process automation, or recommendation systems.

Assessed by AI/Data Solution Prototype, Demonstration, and Performance Metrics Report, assessed for implemented use of predictive analytics, process automation, or recommendation systems and for evidence of improvement in business processes, performance, or competitive positioning.

1.6 Critically evaluate the organisational impact of IS–business alignment initiatives, using appropriate performance and value-creation metrics, such as ROI, KPIs, or balanced scorecards.

Assessed by Organisational Impact Report, Value-Creation Analysis, and Oral Defence / Presentation, assessed for critical evaluation of organisational impact using appropriate performance and value-creation metrics such as ROI, KPIs, or balanced scorecards.

1.1 Analyse organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement, using enterprise case studies or organisational datasets.

Assessed by Written Report, Case Study Analysis, and Data-Driven Mapping assessing analysis of organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement using enterprise case studies or organisational datasets.

1.2 Evaluate the alignment between business strategy and existing IS, data, and AI capabilities, identifying gaps and improvement opportunities by mapping technology portfolios to strategic objectives.

Assessed by Alignment Assessment Report, Portfolio Review, and Gap Analysis Presentation assessing mapped alignment between business strategy and existing IS, data, and AI capabilities, with identified gaps and improvement opportunities linked to strategic objectives.

1.3 Assess IS and AI governance frameworks, including ethical, legal, regulatory, and risk considerations, in support of strategic alignment, in compliance with industry standards and organisational policies.

Assessed by Governance Assessment Report and Compliance Checklist Submission assessing IS and AI governance frameworks for ethical, legal, regulatory, and risk considerations in compliance with industry standards and organisational policies.

1.4 Design and evaluate integrated IS models and enterprise architectures that support business objectives and strategic decision-making, using modelling tools such as ArchiMate or UML.

Assessed by IS/Architecture Design Diagrams and Modelling Artefact Review assessing design and evaluation of integrated IS models and enterprise architectures supporting business objectives and strategic decision-making using ArchiMate or UML.

1.5 Apply AI and data-driven solutions to improve business processes, performance, and competitive positioning, by implementing predictive analytics, process automation, or recommendation systems.

Assessed by AI/Data Solution Prototype, Demonstration, and Performance Metrics Report assessing application of AI and data-driven solutions to improve business processes, performance, and competitive positioning.

1.6 Critically evaluate the organisational impact of IS–business alignment initiatives, using appropriate performance and value-creation metrics, such as ROI, KPIs, or balanced scorecards.

Assessed by Organisational Impact Report, Value-Creation Analysis, and Oral Defence/Presentation assessing critical evaluation of organisational impact using ROI, KPIs, balanced scorecards, or other appropriate performance and value-creation metrics.

1.1 Analyse organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement, using enterprise case studies or organisational datasets.

Assessed by Written Report, Case Study Analysis, and Data-Driven Mapping assessing analysis of organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement using enterprise case studies or organisational datasets.

1.2 Evaluate the alignment between business strategy and existing IS, data, and AI capabilities, identifying gaps and improvement opportunities by mapping technology portfolios to strategic objectives.

Assessed by Alignment Assessment Report, Portfolio Review, and Gap Analysis Presentation assessing mapped alignment between business strategy and existing IS, data, and AI capabilities, with identified gaps and improvement opportunities linked to strategic objectives.

1.3 Assess IS and AI governance frameworks, including ethical, legal, regulatory, and risk considerations, in support of strategic alignment, in compliance with industry standards and organisational policies.

Assessed by Governance Assessment Report and Compliance Checklist Submission assessing IS and AI governance frameworks for ethical, legal, regulatory, and risk considerations in compliance with industry standards and organisational policies.

1.4 Design and evaluate integrated IS models and enterprise architectures that support business objectives and strategic decision-making, using modelling tools such as ArchiMate or UML.

Assessed by IS/Architecture Design Diagrams and Modelling Artefact Review assessing design and evaluation of integrated IS models and enterprise architectures supporting business objectives and strategic decision-making using ArchiMate or UML.

1.5 Apply AI and data-driven solutions to improve business processes, performance, and competitive positioning, by implementing predictive analytics, process automation, or recommendation systems.

Assessed by AI/Data Solution Prototype, Demonstration, and Performance Metrics Report assessing application of AI and data-driven solutions to improve business processes, performance, and competitive positioning.

1.6 Critically evaluate the organisational impact of IS–business alignment initiatives, using appropriate performance and value-creation metrics, such as ROI, KPIs, or balanced scorecards.

Assessed by Organisational Impact Report, Value-Creation Analysis, and Oral Defence/Presentation assessing critical evaluation of organisational impact using ROI, KPIs, balanced scorecards, or other appropriate performance and value-creation metrics.

1.1 Analyse organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement, using enterprise case studies or organisational datasets.

Assessed by Written Report, Case Study Analysis, and Data-Driven Mapping assessing analysis of organisational strategies and operating models to identify business needs, priorities, risks, and opportunities for IS and AI enablement using enterprise case studies or organisational datasets.

1.2 Evaluate the alignment between business strategy and existing IS, data, and AI capabilities, identifying gaps and improvement opportunities by mapping technology portfolios to strategic objectives.

Assessed by Alignment Assessment Report, Portfolio Review, and Gap Analysis Presentation assessing mapped alignment between business strategy and existing IS, data, and AI capabilities, with identified gaps and improvement opportunities linked to strategic objectives.

1.3 Assess IS and AI governance frameworks, including ethical, legal, regulatory, and risk considerations, in support of strategic alignment, in compliance with industry standards and organisational policies.

Assessed by Governance Assessment Report and Compliance Checklist Submission assessing IS and AI governance frameworks for ethical, legal, regulatory, and risk considerations in compliance with industry standards and organisational policies.

1.4 Design and evaluate integrated IS models and enterprise architectures that support business objectives and strategic decision-making, using modelling tools such as ArchiMate or UML.

Assessed by IS/Architecture Design Diagrams and Modelling Artefact Review assessing design and evaluation of integrated IS models and enterprise architectures supporting business objectives and strategic decision-making using ArchiMate or UML.

1.5 Apply AI and data-driven solutions to improve business processes, performance, and competitive positioning, by implementing predictive analytics, process automation, or recommendation systems.

Assessed by AI/Data Solution Prototype, Demonstration, and Performance Metrics Report assessing application of AI and data-driven solutions to improve business processes, performance, and competitive positioning.

1.6 Critically evaluate the organisational impact of IS–business alignment initiatives, using appropriate performance and value-creation metrics, such as ROI, KPIs, or balanced scorecards.

Assessed by Organisational Impact Report, Value-Creation Analysis, and Oral Defence/Presentation assessing critical evaluation of organisational impact using ROI, KPIs, balanced scorecards, or other appropriate performance and value-creation metrics.

1.1 Critically synthesise business strategy, organisational capabilities, and digital ecosystems to identify opportunities for strategic innovation and transformation, using competitive analysis, digital maturity assessments, or ecosystem mapping.

Assessed by Innovation Opportunity Report, SWOT/Gap Analysis, and Presentation to Stakeholders assessed for critical synthesis of business strategy, organisational capabilities, and digital ecosystems to identify strategic innovation and transformation opportunities.

1.2 Create original IS and AI strategies that shape and enable long-term business strategy and organisational renewal, by integrating emerging technologies and innovative business models.

Assessed by Original IS/AI Strategy Document, Technology Roadmap, and Executive Briefing Submission assessed for originality, integration of emerging technologies and innovative business models, and contribution to long-term business strategy and organisational renewal.

1.3 Anticipate and evaluate the strategic implications of governance, ethical, regulatory, and risk factors in advanced IS and AI initiatives, in contexts such as cross-border operations or regulated industries.

Assessed by Risk/Governance Assessment Report, Scenario/Regulatory Documentation, and Case-Based Evaluation assessing anticipation and evaluation of governance, ethical, regulatory, and risk implications in advanced IS and AI initiatives.

1.4 Design and lead the development of novel enterprise architectures, IS models, and AI- enabled solutions that deliver sustainable competitive advantage, using iterative design thinking or agile frameworks.

Assessed by Novel Enterprise Architecture Design, Prototype/Simulation, and Design Review assessed for leadership in developing enterprise architectures, IS models, and AI-enabled solutions using iterative design thinking or agile frameworks.

1.5 Demonstrate strategic leadership and autonomy in aligning stakeholders, resources, and multidisciplinary teams around digital–business transformation, by facilitating cross- functional workshops or steering committees.

Assessed by Stakeholder Alignment Plan, Leadership Portfolio, and Workshop Facilitation Assessment evaluating strategic leadership, autonomy, stakeholder/resource alignment, and multidisciplinary team coordination.

1.6 Generate and communicate actionable strategic insights that influence executive decision- making and organisational or policy-level outcomes, using dashboards, business intelligence reports, or strategic briefs.

Assessed by Executive Insight Report, Dashboard/Business Intelligence Report, and Strategic Briefing Presentation assessed for actionable strategic insights, communication quality, and influence on executive decision-making or organisational/policy-level outcomes.

1.1 Critically synthesise business strategy, organisational capabilities, and digital ecosystems to identify opportunities for strategic innovation and transformation, using competitive analysis, digital maturity assessments, or ecosystem mapping.

Assessed by Innovation Opportunity Report, SWOT/Gap Analysis, and Presentation to Stakeholders assessed for critical synthesis of business strategy, organisational capabilities, and digital ecosystems to identify strategic innovation and transformation opportunities.

1.2 Create original IS and AI strategies that shape and enable long-term business strategy and organisational renewal, by integrating emerging technologies and innovative business models.

Assessed by Original IS/AI Strategy Document, Technology Roadmap, and Executive Briefing Submission assessed for originality, integration of emerging technologies and innovative business models, and contribution to long-term business strategy and organisational renewal.

1.3 Anticipate and evaluate the strategic implications of governance, ethical, regulatory, and risk factors in advanced IS and AI initiatives, in contexts such as cross-border operations or regulated industries.

Assessed by Risk/Governance Assessment Report, Scenario/Regulatory Documentation, and Case-Based Evaluation assessing anticipation and evaluation of governance, ethical, regulatory, and risk implications in advanced IS and AI initiatives.

1.4 Design and lead the development of novel enterprise architectures, IS models, and AI- enabled solutions that deliver sustainable competitive advantage, using iterative design thinking or agile frameworks.

Assessed by Novel Enterprise Architecture Design, Prototype/Simulation, and Design Review assessed for leadership in developing enterprise architectures, IS models, and AI-enabled solutions using iterative design thinking or agile frameworks.

1.5 Demonstrate strategic leadership and autonomy in aligning stakeholders, resources, and multidisciplinary teams around digital–business transformation, by facilitating cross- functional workshops or steering committees.

Assessed by Stakeholder Alignment Plan, Leadership Portfolio, and Workshop Facilitation Assessment evaluating strategic leadership, autonomy, stakeholder/resource alignment, and multidisciplinary team coordination.

1.6 Generate and communicate actionable strategic insights that influence executive decision- making and organisational or policy-level outcomes, using dashboards, business intelligence reports, or strategic briefs.

Assessed by Executive Insight Report, Dashboard/Business Intelligence Report, and Strategic Briefing Presentation assessed for actionable strategic insights, communication quality, and influence on executive decision-making or organisational/policy-level outcomes.