A.3 Business Plan Development

2.1 Apply established business planning and cost–benefit methods appropriately to a data- or AI-driven initiative in a commercial or organisational context.

Assessed by Evaluation of business plan document and written report review, assessed for appropriate application of established business planning and cost–benefit methods to a data- or AI- driven initiative in a commercial or organizational context.

2.2 Analyse alternative approaches and identify basic advantages and limitations using structured evaluation frameworks such as SWOT or scenario analysis.

Assessed by Alternatives comparison matrix and case study analysis, assessed for structured comparison of approaches and identification of basic advantages and limitations using frameworks such as SWOT or scenario analysis.

2.3 Estimate costs, benefits, and expected value by applying standard data sources or publicly available AI datasets.

Assessed by Cost–benefit analysis report with calculations checked against data, assessed for accurate estimation of costs, benefits, and expected value using standard data sources or publicly available AI datasets.

2.4 Explain feasibility and alignment with stated business objectives in written or oral presentations for stakeholders or team members.

Assessed by Feasibility summary and rubric-based evaluation of clarity and alignment, assessed for explanation of feasibility and fit with stated business objectives in written or oral presentation form.

2.5 Communicate the plan effectively using reports, slides, or discussions and demonstrate constructive participation in team work in group projects or collaborative exercises.

Assessed by Team contribution evidence, via peer evaluation, observation of group work, presentation or report assessed for effective communication through reports, slides, or discussions and for constructive participation in team work.

1.1 Apply established business planning and cost–benefit methods appropriately to a data- or AI-driven initiative in a commercial or organisational context.

Assessed by Evaluation of business plan document and written report review assessing application of established business planning and cost–benefit methods to a data- or AI-driven initiative in a commercial or organizational context.

1.2 Analyse alternative approaches and identify basic advantages and limitations using structured evaluation frameworks such as SWOT or scenario analysis.

Assessed by Alternatives comparison matrix and case study analysis assessing comparison of alternative approaches, advantages, limitations, and use of structured evaluation frameworks such as SWOT or scenario analysis.

1.3 Estimate costs, benefits, and expected value by applying standard data sources or publicly available AI datasets.

Assessed by Cost–benefit analysis report with calculations checked against data, assessed for estimates of costs, benefits, expected value, and use of standard data sources or publicly available AI datasets.

1.4 Explain feasibility and alignment with stated business objectives in written or oral presentations for stakeholders or team members.

Assessed by Feasibility summary with rubric-based evaluation of clarity, feasibility, and alignment with stated business objectives for stakeholders or team members.

1.5 Communicate the plan effectively using reports, slides, or discussions and demonstrate constructive participation in team work in group projects or collaborative exercises.

Assessed by Team contribution evidence, peer evaluation, and observation of group work assessing constructive participation, effective plan communication, and collaboration in group projects or collaborative exercises.

2.1 Formulate original and innovative strategic business models or investment rationales for AI-driven initiatives in emerging or high-impact domains.

Assessed by Strategic business/investment plan evaluated for originality, innovation, and strategic rationale for AI-driven initiatives in emerging or high-impact domains.

2.2 Critically evaluate existing and emerging approaches using advanced analytical frameworks, simulations, or experimental AI research.

Assessed by Critical evaluation report with peer/expert review, assessed for rigor, depth, and use of advanced analytical frameworks, simulations, or experimental AI research.

2.3 Create and validate novel solutions through rigorous evidence, experimentation, or practice-based inquiry in organisational or technical contexts.

Assessed by Validated solution artifacts assessed for novelty, rigorous evidence, testing, reproducibility, and validation through experimentation or practice-based inquiry.

2.4 Integrate technological, economic, regulatory, ethical, and societal considerations in strategic decision-making for complex AI deployments.

Assessed by Integration report assessed for coherent integration of technological, economic, regulatory, ethical, and societal factors in strategic decision-making for complex AI deployments.

2.5 Defend strategic choices convincingly against expert critique or alternative scenarios in professional or academic forums.

Assessed by Defence documentation, oral defence, or written justification evaluated by expert panel for argumentation quality, response to critique, and consideration of alternative scenarios.

2.6 Demonstrate leadership in strategic thinking by taking accountability for long-term organisational or societal impact under conditions of uncertainty.

Assessed by Leadership accountability evidence assessed through documentation of strategic decisions, uncertainty handling, and long-term organizational or societal impact considerations.

2.1 Formulate original and innovative strategic business models or investment rationales for AI-driven initiatives in emerging or high-impact domains.

Assessed by Strategic business/investment plan evaluated for originality, innovation, and strategic investment rationale for AI-driven initiatives in emerging or high-impact domains.

2.2 Critically evaluate existing and emerging approaches using advanced analytical frameworks, simulations, or experimental AI research.

Assessed by Critical evaluation report with peer/expert review, assessed for rigor, depth, and use of advanced analytical frameworks, simulations, or experimental AI research.

2.3 Create and validate novel solutions through rigorous evidence, experimentation, or practice- based inquiry in organisational or technical contexts.

Assessed by Validated solution artifacts assessed for novelty, rigorous evidence, testing, reproducibility, and validation through experimentation or practice-based inquiry.

2.4 Integrate technological, economic, regulatory, ethical, and societal considerations in strategic decision-making for complex AI deployments.

Assessed by Integration report assessed for coherent integration of technological, economic, regulatory, ethical, and societal factors in strategic decision-making for complex AI deployments.

2.5 Defend strategic choices convincingly against expert critique or alternative scenarios in professional or academic forums.

Assessed by Defence documentation, oral defence, or written justification evaluated by expert panel for argumentation quality, response to critique, and consideration of alternative scenarios.

2.6 Demonstrate leadership in strategic thinking by taking accountability for long-term organisational or societal impact under conditions of uncertainty.

Assessed by Leadership accountability evidence assessed through documentation of strategic decisions, uncertainty handling, and long-term organizational or societal impact considerations.