Apprenticeship unit
AI Delivery and Organisational Transformation
For leaders responsible for moving from AI intent to implementation, organisational change, capability building and measurable transformation.
Established apprenticeship support
A practical route needs a credible delivery partner
Compare the programme first, then use our specialists to check the role, workplace evidence and funding position before enrolment.
At a glance
Overview
Start with the role
Who this apprenticeship is for

Learners
Who it is for
Participant value
What participants develop
Transformation planning, implementation thinking, capability building, change leadership, communication, readiness assessment and practical delivery judgement.
- Transformation planning
- Implementation thinking
- Capability building
- Change leadership
- Readiness assessment
- Cross-functional communication
- Delivery judgement
- Organisational transformation thinking

Employers
Employer value
What the employer contributes
A successful programme connects structured learning to meaningful workplace responsibility. Before enrolment, we help confirm that the role, available activity and internal support will give the learner a realistic opportunity to apply and evidence their development.
- A suitable employed role with relevant responsibilities
- Practical opportunities to apply learning at work
- A named manager who supports progress and feedback
- Access to projects, evidence and appropriate stakeholders
- Time for learning, reviews and required assessment activity
- Early action when progress or workplace opportunities need support
Compare your options
This apprenticeship may not be right for you
If the role, employment status, funding rules or required workplace evidence do not fit, the equivalent professional qualification may provide a more flexible route.
Meet your tutors
Learn from industry experts
Our course delivery team bring practical workplace insight, structured guidance, and supportive feedback to every stage of learning.
A structured route
How learning and support work together
The programme combines planned development, practical workplace application and regular human support so progress remains visible and purposeful.

Planned development
How the unit works
Learning is sequenced around the requirements of the product and the opportunities available in the learner's role. Activities build towards confident application rather than isolated completion.
- Scheduled workshops and guided learning activity
- Workplace tasks connected to real responsibilities
- Evidence gathered progressively throughout the programme
- Milestones that make priorities and next steps clear
- Preparation integrated before final assessment

People-first support
Delivery and support model
Support connects the learner, their employer and Professional Academy. Regular conversations identify progress, unblock workplace challenges and keep development aligned with the role.
- Expert teaching and guidance from experienced practitioners
- Named support between scheduled learning activities
- Regular progress reviews with the learner and employer
- Feedback on application, evidence and assessment readiness
- Clear escalation when additional support is needed
From suitability to achievement
The apprenticeship journey
Use this summary to understand how suitability, planning, learning and assessment fit together.
- Stage 01
Check suitability
Confirm that the product, employed role, eligibility and available workplace activity create the right starting point.
- Stage 02
Plan the programme
Recognise prior learning, agree responsibilities and establish a practical training plan with clear milestones.
- Stage 03
Learn and apply
Combine guided learning with workplace activity, feedback, evidence and regular progress reviews.
- Stage 04
Complete assessment
Demonstrate the unit outcomes through the required skills test and secure employer validation of achievement.
Expert support, applied learning
How we mentor and support you
A blend of expert conversation, structured resources and applied workplace activity keeps learning practical, personal and connected to the progress you want to make.

Expert-led workshops
Learn with practising professionals
Live workshops turn theory into practical decisions. They are led by practising professionals who have held senior positions in their discipline and bring multi-sector experience, so discussion is grounded in the realities of your role.

Personal mentoring
Guidance from people who have done the role
Your mentor is a practising professional with senior leadership experience across sectors. They help you interpret feedback, overcome workplace challenges and turn learning into confident action.

On-demand e-learning
Build confidence between live sessions
Structured digital learning lets you prepare, revisit key concepts and progress at a pace that works alongside your role. Resources make every workshop and workplace conversation more useful.

Applied assignments
Show what you can do at work
Assignments connect learning to real responsibilities, giving you a clear way to practise, reflect and build credible evidence of progress. Expert guidance helps turn live work into meaningful development.

Presentations and feedback
Communicate your thinking with confidence
Presentations give you a supported space to articulate recommendations, explain decisions and respond to professional questions. Constructive feedback builds confidence before you use these skills with stakeholders.
English apprenticeships only
Understand apprenticeship funding
Assessment and progression
How this apprenticeship unit is completed
- Stage 01
Readiness
Confirm the role, learning activity and evidence needed for the unit.
- Stage 02
Skills assessment
Demonstrate the published knowledge and skills through the provider-delivered test.
- Stage 03
Employer validation
Confirm successful achievement of the unit outcomes.
AI Delivery and Organisational Transformation, version 1.0, is assessed against the knowledge, skills and learning outcomes published for this apprenticeship unit.
Assessment requirements
- Mandatory skills test: the learner must pass a skills test delivered by the training provider, demonstrating the knowledge and skills set out in the unit.
- Employer validation: the employer validates the result to confirm that the learner has successfully achieved the unit outcomes in the workplace context.
- Optional extended assessment: the employer or learner may choose independent external assessment where appropriate, such as through a non-mandatory qualification.
The assessment should demonstrate leadership of AI-enabled change, workforce impact management, organisational risk controls, audit and compliance, deployed-system monitoring and stakeholder communication.
Official unit details: Skills England, AI Delivery and Organisational Transformation version 1.0.
Study support you will receive
You are never developing alone
Hear how learners experience the people, resources and guidance around their development.
Apprenticeship standard
Knowledge, skills and behaviours
These statements are loaded directly from the Dataverse apprenticeship standard record for AU0011.
Expand each section to view all of the learning outcomes.
Knowledge15 statements
| Ref | Statement |
|---|---|
| K1 | AI and automation concepts and models that support leadership decision-making, and their limitations. The impact adoption may have on workplace culture and wellbeing |
| K2 | The capabilities, benefits and risks of automation, AI and digital tools, including responsible use, ethical considerations and the potential impact on the workforce. |
| K3 | 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. |
| K4 | 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. |
| K5 | 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. |
| K6 | The capabilities, risks and implications of adopting on-premise, cloud-based and third-party solutions. |
| K7 | 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. |
| K8 | Crisis and risk management strategies including accountability and technological implications. |
| K9 | Principles of human oversight and human AI collaboration to achieve shared outcomes. |
| K10 | Principles for operationalising sustainable AI solutions to support organisational strategies and objectives |
| K11 | Governance principles to ensure accountability and compliance, including methods to identify system vulnerabilities and mitigate threats or risks to assets, data and cyber security |
| K12 | 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. |
| K13 | Principles to support project and change management delivery. |
| K14 | Principles and practices of algorithmic impact assessment and workforce equality monitoring, including methods to identify, assess, and mitigate potential disproportionate impacts of automation and AI systems on different workforce groups. Organisational responsibilities under equality and employment law, and methods to evidence fairness and transparency in adoption. |
| K15 | Principles and practices for the long-term monitoring of AI and automation solutions, including detection and mitigation of risks such as model drift, emerging bias, degraded performance, and security vulnerabilities. |
Skills11 statements
| Ref | Statement |
|---|---|
| S1 | 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. |
| S2 | Set strategic direction for AI and gain support for it from key stakeholders. |
| S3 | 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. |
| S4 | Use evidence to inform governance of AI adoption, outcomes and facilitate improvement. |
| S5 | Ensure sustainable and efficient AI and automation solutions. |
| S6 | Ensure business needs are aligned with technical capabilities, to ensure solutions are scalable, efficient, and aligned with the organisation’s strategic objectives. |
| S7 | Apply principles relating to ethics and values-based leadership and governance, and regulatory compliance. |
| S8 | Lead and respond in a crisis situation using risk management techniques. |
| S9 | Use project management principles, techniques and tools to support the development of clear, balanced AI communications and briefings, articulating both opportunities and risks. |
| S10 | Lead deployment of AI and automation strategies, including measures to deal with the impact of automation, for example, workforce engagement, retraining, redeployment, or upskilling of affected staff. |
| S11 | Present and communicate information, including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders. |
Compare with adjacent development options
Use these links to compare adjacent routes, move back up to the parent pathway page and connect this programme to wider apprenticeship support content.
Compare all related apprenticeship routes
Move back to the parent pathway page to compare route fit, progression and next-step guidance across the wider family.
Compare the wider AI leadership unit pathway
Use the AI leadership unit hub to compare the three units and decide whether targeted upskilling or a broader leadership pathway makes more sense.
Understand the wider apprenticeship journey
Review the wider apprenticeship journey, role fit and implementation guidance before choosing a unit or a broader route.
Free programme guide
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Related routes and useful links
Use the parent discipline page and support pages to compare adjacent options, understand funding and plan the wider apprenticeship journey.
AI Strategy and Opportunity
AI Adoption, Procurement and Governance
Apprenticeship funding
Apprenticeships for organisations
Support that helps apprenticeships succeed in practice
Professional Academy combines experienced trainers, people-first support, line manager guidance and structured learner visibility.
Continual reviews keep learners moving
Regular checkpoints help employers, learners and trainers spot drift early, keep evidence on track and maintain momentum towards timely completion.
Named trainers and advisers stay close to the programme
Support is led by experienced people who understand workplace delivery, learner confidence and the practical decisions employers need to make.
Planning is shaped around timely, high-quality completion
We structure delivery, review cadence and intervention around sustained progress, strong gateway readiness and the conditions that support higher achievement.
Development stays tied to live work, not abstract theory
Learners build evidence through real campaigns, customers, service activity or operational work so the apprenticeship creates value while capability grows.
Frequently asked questions
Frequently asked questions
Who is this apprenticeship designed for?
This apprenticeship is designed for employed learners whose role provides suitable responsibilities, workplace activity and opportunities to demonstrate the required knowledge, skills and behaviours.
How long does the apprenticeship take?
The programme duration is shown in the quick facts on this page. The exact timetable depends on prior learning, workplace opportunities, learner progress and readiness for end-point assessment.
How is the apprenticeship funded?
Eligible apprenticeship training is normally funded through an employer apprenticeship levy account or co-investment. We confirm eligibility, employer contributions and any exclusions before enrolment.
What support will the learner receive?
Learners receive structured teaching, learning resources, progress reviews and named human support. Employers and line managers are involved so learning can be applied in the workplace.
How is progress assessed?
Progress is reviewed throughout the programme using learning activity, workplace evidence and regular reviews. The learner must meet the gateway requirements before completing the independent end-point assessment.
What if this apprenticeship is not the right fit?
We can compare the role, learner experience, funding position and workplace evidence with alternative apprenticeships or an equivalent professional qualification before you commit.
Next step
Want to build AI leadership capability?
Talk to us about your leadership team, your AI priorities and which unit or pathway may be most suitable.