AI Practitioner Workplace Projects

The workplace project sits at the heart of the AI and Digital Automation Practitioner Apprenticeship. Rather than learning theory in isolation, apprentices apply their learning directly to a real improvement challenge within their organisation. This ensures the programme delivers practical value during the apprenticeship, not just at the end.

From the early stages of the programme, apprentices learn how to map processes, analyse data and identify areas where automation or AI could safely improve efficiency. A project is then scoped and approved to ensure it is appropriate, compliant with governance and data protection requirements, and achievable within the workplace environment.

From around month six, the workplace project becomes the main focus of the apprenticeship. Apprentices design, build and test solutions using low and no code tools, apply risk and ethics checks, and work with colleagues to implement and embed the improvement. The project must demonstrate clear problem identification, safe use of data, stakeholder engagement and measurable outcomes such as time saved or errors reduced.

Below are examples of the types of workplace projects apprentices may undertake. These illustrate how organisations can quickly begin to realise efficiency gains, strengthen governance and reduce administrative burden while building internal AI and automation capability.