AI & Digital Champion

Our bespoke AI Accelerator Academy equips apprentices with an essential introduction to artificial intelligence and prompt engineering. From day one, learners are empowered to harness generative AI tools confidently and effectively, applying them to real tasks that boost efficiency and productivity.

Through interactive self-study courses, apprentices will explore how AI can enhance analysis, problem-solving, and communication, while also developing an understanding of responsible and ethical AI use. By establishing a strong baseline of skills, this academy lays the foundations for using AI as a core driver of efficiency and impact throughout the rest of the apprenticeship and in the workplace.

This course lays the foundation of the Business Analyst role, covering the business analysis lifecycle, core techniques and strategic context.

Apprentices will gain confidence in business analysis fundamentals, while exploring how AI technologies can enhance traditional methods and processes, making them more accurate, efficient and impactful in driving meaningful business change.

WHAT’S COVERED:

• The role and key skills of a Business Analyst
• Practical techniques for gathering information (interviews, workshops, prototyping)
• Exploring business improvements and building strong cases for change
• Working with and managing stakeholders
• Writing and managing clear, consistent requirements
• Using AI tools to speed up tasks like stakeholder mapping and process modelling

This course moves beyond theory into hands-on practice, applying business analysis to real-world scenarios. Apprentices will gain practical skills in strategic analysis, stakeholder management, root cause investigation, and business case development.

Alongside this, learners explore how AI tools can accelerate analysis, generate stakeholder personas, and support smarter business decisions, equipping them to deliver value faster and with greater confidence.

WHAT’S COVERED:

• Using the business analysis process model in practice
• Analysing internal and external environments with proven frameworks
• Identifying and managing stakeholders with confidence
• Investigating root causes and defining business problems
• Developing and testing business cases
• Utilising AI-powered persona generators and analysis tools

This course equips apprentices to gather, document, validate, and manage both functional and non-functional requirements. They will develop confidence in engaging stakeholders, prioritising needs, and ensuring requirements remain clear and traceable throughout the project lifecycle.

AI tools are introduced to improve accuracy, reduce ambiguity, and make requirement management more efficient.

WHAT’S COVERED:

• Learn practical ways to gather requirements through conversations, workshops, and observations
• Understand the difference between functional and non-functional requirements
• Write requirements clearly and consistently to recognised standards
• Prioritise needs using simple, proven frameworks
• Check, update, and track requirements across projects
• Use AI tools to save time, spot gaps, and improve accuracy in requirements

This course builds skills in mapping and redesigning business processes to make them more efficient and effective. Learners use recognised process modelling techniques to understand current processes, design future improvements, and uncover opportunities for automation and digital transformation.

With AI tools that generate diagrams, analyse efficiency, and suggest improvements, apprentices will learn how to deliver smarter, faster recommendations that drive meaningful change.

WHAT’S COVERED:

• Apply industry-standard process modelling techniques
• Map “as-is” and “to-be” processes for improvement
• Identifying inefficiencies and opportunities for automation
• Consider organisational impact in process redesign
• Redesigning processes to support digital transformation goals
• Using AI tools to generate process maps, analyse efficiency, and propose optimisations

This course focuses on making sure business change delivers real value. Learners will gain the skills to define and measure benefits, create strong cost–benefit cases, and plan for successful adoption. They will also explore how to assess the impact of change on people, processes, and technology, ensuring readiness across the organisation.

AI tools are introduced to model benefits, map readiness, and generate acceptance criteria, helping apprentices provide clearer evidence and build confidence in proposed solutions.

WHAT’S COVERED:

• Define and measure business benefits systematically
• Conduct cost-benefit analyses for investment decisions
• Plan organisational readiness and AI adoption strategies
• Assess change impact across people, processes, and technology
• Design acceptance tests to confirm solutions meet requirements
• Apply AI tools for benefit forecasting and readiness assessment

This course positions the Business Analyst as a bridge between data and decision-making. Learners develop skills in data modelling, governance, and compliance while exploring how emerging technologies like AI and cloud are transforming organisations.

They will also build confidence in guiding leaders on the ethical, responsible use of AI, ensuring decisions are based on accurate data and sound judgement.

WHAT’S COVERED:

• Understand the value of organisational data
• Create simple data models to support analysis
• Managing data quality and governance
• Apply compliance principles and regulatory requirements
• Evaluate AI, big data, and cloud transformation opportunities
• Use AI tools for data modelling, compliance monitoring, and trend analysis

Our bespoke AI Accelerator Academy equips apprentices with an essential introduction to artificial intelligence and prompt engineering. From day one, learners are empowered to harness generative AI tools confidently and effectively, applying them to real tasks that boost efficiency and productivity.

Through interactive self-study courses, apprentices will explore how AI can enhance analysis, problem-solving, and communication, while also developing an understanding of responsible and ethical AI use. By establishing a strong baseline of skills, this academy lays the foundations for using AI as a core driver of efficiency and impact throughout the rest of the apprenticeship and in the workplace.

This course lays the foundation of the Business Analyst role, covering the business analysis lifecycle, core techniques and strategic context.

Apprentices will gain confidence in business analysis fundamentals, while exploring how AI technologies can enhance traditional methods and processes, making them more accurate, efficient and impactful in driving meaningful business change.

WHAT’S COVERED:

• The role and key skills of a Business Analyst
• Practical techniques for gathering information (interviews, workshops, prototyping)
• Exploring business improvements and building strong cases for change
• Working with and managing stakeholders
• Writing and managing clear, consistent requirements
• Using AI tools to speed up tasks like stakeholder mapping and process modelling

This course moves beyond theory into hands-on practice, applying business analysis to real-world scenarios. Apprentices will gain practical skills in strategic analysis, stakeholder management, root cause investigation, and business case development.

Alongside this, learners explore how AI tools can accelerate analysis, generate stakeholder personas, and support smarter business decisions, equipping them to deliver value faster and with greater confidence.

WHAT’S COVERED:

• Using the business analysis process model in practice
• Analysing internal and external environments with proven frameworks
• Identifying and managing stakeholders with confidence
• Investigating root causes and defining business problems
• Developing and testing business cases
• Utilising AI-powered persona generators and analysis tools

This course equips apprentices to gather, document, validate, and manage both functional and non-functional requirements. They will develop confidence in engaging stakeholders, prioritising needs, and ensuring requirements remain clear and traceable throughout the project lifecycle.

AI tools are introduced to improve accuracy, reduce ambiguity, and make requirement management more efficient.

WHAT’S COVERED:

• Learn practical ways to gather requirements through conversations, workshops, and observations
• Understand the difference between functional and non-functional requirements
• Write requirements clearly and consistently to recognised standards
• Prioritise needs using simple, proven frameworks
• Check, update, and track requirements across projects
• Use AI tools to save time, spot gaps, and improve accuracy in requirements

This course builds skills in mapping and redesigning business processes to make them more efficient and effective. Learners use recognised process modelling techniques to understand current processes, design future improvements, and uncover opportunities for automation and digital transformation.

With AI tools that generate diagrams, analyse efficiency, and suggest improvements, apprentices will learn how to deliver smarter, faster recommendations that drive meaningful change.

WHAT’S COVERED:

• Apply industry-standard process modelling techniques
• Map “as-is” and “to-be” processes for improvement
• Identifying inefficiencies and opportunities for automation
• Consider organisational impact in process redesign
• Redesigning processes to support digital transformation goals
• Using AI tools to generate process maps, analyse efficiency, and propose optimisations

This course focuses on making sure business change delivers real value. Learners will gain the skills to define and measure benefits, create strong cost–benefit cases, and plan for successful adoption. They will also explore how to assess the impact of change on people, processes, and technology, ensuring readiness across the organisation.

AI tools are introduced to model benefits, map readiness, and generate acceptance criteria, helping apprentices provide clearer evidence and build confidence in proposed solutions.

WHAT’S COVERED:

• Define and measure business benefits systematically
• Conduct cost-benefit analyses for investment decisions
• Plan organisational readiness and AI adoption strategies
• Assess change impact across people, processes, and technology
• Design acceptance tests to confirm solutions meet requirements
• Apply AI tools for benefit forecasting and readiness assessment

This course positions the Business Analyst as a bridge between data and decision-making. Learners develop skills in data modelling, governance, and compliance while exploring how emerging technologies like AI and cloud are transforming organisations.

They will also build confidence in guiding leaders on the ethical, responsible use of AI, ensuring decisions are based on accurate data and sound judgement.

WHAT’S COVERED:

• Understand the value of organisational data
• Create simple data models to support analysis
• Managing data quality and governance
• Apply compliance principles and regulatory requirements
• Evaluate AI, big data, and cloud transformation opportunities
• Use AI tools for data modelling, compliance monitoring, and trend analysis