AI and Automation Champion

Build in-house capability to adopt AI safely, streamline workflows, and deliver measurable productivity gains.

About

What's Involved

Content

Perfect For

Entry Criteria

Assessments

Output

How Much Is it?

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What is This Programme

An AI & Automation Champion supports organisations to adopt AI safely, streamline workflows and deliver real improvements in productivity.

Over approximately 15 months, learners develop the knowledge, skills and behaviours to identify where AI and automation can make work easier, redesign workflows, and implement practical solutions that reduce manual effort.

The programme builds confidence in responsible AI use, process transformation, data readiness, workflow automation, stakeholder enablement and performance optimisation.

By the end of the apprenticeship, learners are equipped to deliver workplace projects with measurable business impact, support colleagues with adoption, and maintain governance, compliance and assurance around AI-enabled solutions.

This Programme Aims To:

  • Apply AI tools to improve productivity and efficiency
  • Automate repetitive tasks and simplify workflows
  • Support teams to adopt AI safely in day-to-day work
  • Use data responsibly to ensure reliable outputs
  • Apply ethical, secure and compliant AI practices
  • Maintain documentation and governance around AI use
  • Deliver a workplace project with measurable business impact

What's Involved?

Workshops + Workplace Learning

Learners develop their capability through a blend of expert-led workshops and practical workplace learning. Each module is designed to help participants apply new concepts immediately in their own role, building confidence in AI, automation and operational improvement.

Portfolio of Evidence

Throughout the programme, learners build a portfolio showing how they have applied knowledge, skills and behaviours in the workplace. Evidence may include workflow maps, automation designs, training materials, compliance documentation, project outcomes, reflections and other relevant business outputs.

Project Build

A core element of the programme is designing and delivering a practical workplace solution. Learners integrate data, workflows and AI tools into a project that demonstrates measurable business value, safe implementation and sustainable operational improvement.

What You'll Learn?

Module 1

Automation & Agentic Fundamentals

Identify automation opportunities and understand the difference between agentic AI and traditional automation.

Module 2

Agentic AI Platform Configuration

Use prompting, conversational AI and multi-step orchestration to extend workflows with intelligent decision making.

Module 3

Data Foundations & Pipelines

Prepare reliable data and support automation pipelines with core integration and data quality skills.

Module 4

Platform Workflow Mastery

Configure low-code and no-code tools to build robust end-to-end workflows.

Module 5

Responsible AI & Ethics

Apply ethical, legal and compliant AI practices with appropriate governance and risk controls.

Module 6

Process Transformation & Redesign

Redesign business processes around AI capabilities to unlock transformational efficiency gains.

Module 7

Stakeholder Enablement & Change

Drive adoption by translating technical ideas into business language and managing change effectively.

Module 8

Performance Monitoring & Optimisation

Measure impact, track KPIs and continuously improve automation and AI-enabled solutions.

Module 9

Compliance Monitoring & Reporting

Maintain auditability, manage drift and support long-term compliant deployment of AI solutions.

Module 10

Solution Design Studio (Project Build)

Design and integrate production-ready AI and automation solutions aligned to business strategy.

Module 11

Portfolio, Reflection & Professionalism

Develop reflective practice and articulate workplace value through evidence-based professional discussion.

Module 12

Workforce Enablement & Training Assets

Create the documentation, guidance and training needed to support confident adoption across the organisation.

Module 13

Governance, Risk & Assurance Lab

Stress-test solutions and manage incidents, risks and assurance processes in real-world scenarios.

Module 14

Continuous Improvement & Value

Identify future opportunities and present strategic value cases that sustain long-term advantage.

Module 15

Gateway to End Point Assessment

Consolidate evidence, rehearse assessment methods and prepare for successful completion of the apprenticeship.

Who is it Perfect For?

Organisations Introducing AI

Ideal for organisations wanting to introduce AI tools but lacking in-house confidence.

Operational Improvement Roles

Suitable for employees focused on improving workflows, efficiency and productivity.

Digital & Transformation Teams

Great for those supporting process redesign, adoption and business change.

Responsible AI Champions

Useful for individuals who need to embed secure, governed and ethical AI use in the workplace.

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Organisations Introducing AI

Operational Improvement Roles

Digital & Transformation Teams

Responsible AI Champions

What is The Entry Criteria?

Learners need to:

  • Be in a relevant role where AI, automation or process improvement can be applied
  • Be able to complete workplace-based evidence and a business impact project
  • Have the opportunity to support workflow improvement, adoption or operational change

Funding eligibility and prior qualifications may apply depending on the learner and employer circumstances.

Learners should be able to engage with written and spoken English at a level that allows them to complete the apprenticeship and End-Point Assessment successfully.

Entry Criteria

How is The Programme Assessed?

End Point Assessment (EPA) takes place at the end of the apprenticeship and assesses the learner against the knowledge, skills and behaviours within the occupational standard.

The final assessment approach should be confirmed against the approved standard and end-point assessment organisation, but typically includes a substantial work-based project and a professional discussion supported by workplace evidence.

Work-based project or presentation

A project-based assessment demonstrating how the learner has applied AI and automation knowledge in the workplace to deliver measurable operational or productivity improvements.

Professional discussion supported by portfolio evidence

A structured discussion drawing on the learner's portfolio, reflections and workplace outputs to evidence competence, responsible practice and business impact.

What Learners Get Out of It

Level 4 AI and Automation Champion Apprenticeship

Learners complete a Level 4 apprenticeship focused on practical AI and automation capability in the workplace.

The programme develops skills in workflow redesign, AI-enabled productivity, governance, stakeholder enablement, data readiness and performance optimisation.

By the end of the programme, learners can design, implement and support solutions that deliver measurable operational value while maintaining responsible and compliant AI use.

Benefits

  • Builds practical capability to identify and deliver AI and automation improvements in real business processes.
  • Develops confidence using low-code and no-code workflow tools alongside AI-assisted working practices.
  • Strengthens understanding of responsible AI, including privacy, security, compliance and bias mitigation.
  • Enables learners to support stakeholder adoption, training and workplace change.
  • Improves data handling, reporting and performance monitoring for sustained business value.
  • Delivers a workplace project with measurable productivity gains and operational impact.
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How Much is it?

Programme Cost

Up to 100% Funded

Listed programme cost is £18,000, with funding support available up to 100% depending on employer and learner eligibility.

£18,000 per person

Duration

15 Months

Delivered through workshops and workplace learning, with practical application throughout the programme.

Funded apprenticeship route

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Sounds Good?

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