Apprenticeship unit

AI leadership – AI adoption, procurement and governance - Apprenticeship unit (level 5)

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Information about AI leadership – AI adoption, procurement and governance - Apprenticeship unit (level 5)

This apprenticeship unit is for individuals in leadership roles responsible for shaping, influencing, or supporting decisions about the adoption of AI systems within their organisation. These individuals, with support of their employer, need upskilling in adopting AI systems and governing them responsibly. It is suited to those involved in evaluating options, developing business cases, and establishing governance and assurance approaches for AI and digital technologies.

Apprenticeship units are short, flexible training courses based on employer-designed occupational standards.

You can only enrol your existing employees in an apprenticeship unit. Employees who are already doing an apprenticeship cannot do them.

• Knowledge and skills learners will gain:
  View knowledge and skills

  Technical knowledge

  • AI and automation concepts and models that support leadership decision-making, and their limitations. The impact adoption may have on workplace culture and wellbeing.
  • The capabilities, benefits and risks of automation, AI and digital tools, including responsible use, ethical considerations and the potential impact on the workforce.
  • The role of organisational leadership in responsible AI adoption, including setting values, policy, and strategy. The business case for ethical AI adoption, including reputational risk, staff engagement and morale, and long-term sustainability.
  • Understand how to develop and implement organisational AI strategy and plans, including approaches to workforce development, taking and managing risk, monitoring and evaluation, and quality assurance.
  • How to assess the viability of solutions when making acquisition decisions, for example, testing and evaluating solutions, using test data and results, feasibility (time, cost, data quality and process maturity), and user testing.
  • The capabilities, risks and implications of adopting on-premise, cloud-based and third-party solutions.
  • Principles and application of testing methodologies and their application in practice.
  • Legislation, regulation, governance and assurance frameworks that support the safe adoption of artificial intelligence.
  • Governance principles to ensure accountability and compliance, including defining roles and responsibilities to identify, escalate and mitigate threats or risks to assets, data and cyber security.
  • Assurance and compliance arrangements, including documentation expectations, structured risk assessments, aligning with recognised AI assurance and governance frameworks. The importance of auditability, transparency, and accountability in organisational contexts.
  • Principles of human oversight and human AI collaboration to achieve shared outcomes.
  • Engagement and training approaches used with non-technical staff to understand their roles, responsibilities, and concerns when AI automation solutions are proposed, in support of strategic AI governance decisions.
  • Feedback and evaluation loops to improve systems, processes, productivity and performance, including human-in-the-loop safeguards.
  • Governance principles to ensure accountability and compliance, including methods to identify system vulnerabilities and mitigate threats or risks to assets, data and cyber security.
  • Methods for assuring compliance in AI and automation projects, including documentation of model decision-making, conducting structured risk assessments, and aligning implementation with recognised AI assurance and governance frameworks. The importance of auditability, transparency, and accountability in organisational contexts.

  Technical skills

  • Identify organisational improvements and opportunities for innovation and growth, using qualitative and quantitative analysis of information and data.
  • Set strategic direction for AI and gain support for it from key stakeholders.
  • Commission analysis to identify if AI adoption is viable. Evaluate assessments of risks and unintended consequences of AI automation projects, such as the impact on job roles.
  • Use evidence to inform governance of AI adoption, outcomes and facilitate improvement.
  • Ensure business needs are aligned with technical capabilities, to ensure solutions are scalable, efficient, and aligned with the organisation’s strategic objectives.
  • Keep up to date with existing, evolving, and emerging technologies and sector trends in AI, automation and technology to support the evaluation of vendor and supplier solutions.
  • Apply principles relating to ethics and values-based leadership and governance, and regulatory compliance.
  • Horizon scan to identify new developments that have implications for AI use.
  • Apply regulatory, legal, ethical and governance considerations when evaluating AI recommendations at each stage of the AI adoption process.
  • Define expectations for testing and feedback to ensure reliability, security, accessibility of AI systems, and alignment with organisational needs.
  • Make evidence-based suggestions to support governance, outcomes and facilitate improvement, for example, cost-benefit analysis.
  • Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
  • Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
• Training category (sector): Digital
• Training level: 5; Equal to higher national diploma (HND)
• Delivery hours: 30 delivery hours ; Delivery hours are the minimum amount of time a learner will spend with their instructor while on the course. This does not include coursework or self-paced activities.
• Duration: Exact duration depends on the training provider. Contact them to find out more.
• Maximum funding: £750 ; Maximum government funding for ; apprenticeship unit training and assessment costs.

View more information about AI leadership – AI adoption, procurement and governance - Apprenticeship unit (level 5) from Skills England.