AI and Automation Practitioner

Strategic and Ethical Adoption of AI and Automation

In this workshop, judgement is applied to responsible adoption decisions – for example, deciding when automation is appropriate, what must remain human-led, and how to prevent unintended harm. Apprentices practice surfacing ethical and workforce impacts early (fairness, transparency, role changes, wellbeing), translating these into practical adoption safeguards such as leadership principles, clear accountabilities, and communication strategies that build trust rather than fear.

Identifying Automation Opportunities and Building the Business Case

In this workshop, judgement is applied to opportunity selection and prioritisation – distinguishing a tempting idea from a viable automation candidate. Apprentices learn to baseline the current state, identify measurable benefit, estimate effort and risk, and make evidence-based recommendations that leaders can act on. The core skill is building a defensible business case that balances value (time saved, error reduction, service improvement) with constraints (data quality, process maturity, budget, change load).

Process Mapping and Workflow Analysis

In this workshop, judgement is applied to diagnosis and feasibility – separating symptoms from root causes and deciding whether automation will genuinely improve outcomes. Apprentices practise mapping work end-to-end (handoffs, rework loops, bottlenecks, data duplication), assessing process maturity, and identifying where issues are caused by unclear rules, missing data, or training gaps rather than the absence of a tool. The goal is a realistic improvement path that avoids automating broken processes.

AI and Automation Fundamentals for the Workplace

In this workshop, judgement is applied to AI literacy for practical decision-making – understanding what AI can and cannot do, and what risks emerge when it is used inappropriately. Apprentices compare deployment approaches (on-premise, cloud, third-party), consider data sensitivity and vendor constraints, and practise explaining limitations in plain language to non-technical stakeholders. The emphasis is on choosing the right type of capability (rules, automation, AI assistance) and maintaining human oversight.

Human-Centred Design and User Requirements

In this workshop, judgement is applied to requirements and human-centred design – deciding what the solution must achieve for different user groups, including accessibility and inclusion needs. Apprentices practise eliciting requirements, defining clear outcomes and acceptance criteria, and translating user pain points into solution behaviours that can be tested. The focus is on preventing the common failure mode of building an impressive automation that users do not trust, cannot access, or do not adopt.

Low-and No-Code Automation Tools in Practice

In this workshop, judgement is applied to build quality and operational safety in low-and no-code solutions. Apprentices practise selecting appropriate tools and connectors, designing resilient flows (error handling, logging, retries), and making security-conscious configuration choices (permissions, access, data handling). The focus is on maintainability – building automations colleagues can understand, support, and improve rather than fragile one-person solutions.

AI Prompting, Integration, and Applied Use Cases

In this workshop, judgement is applied to prompt design, evaluation, and safe AI use Apprentices practise crafting prompts for summarisation, extraction, drafting, and decision support, then iterating based on quality checks and real user needs. The emphasis is on defining what “good” looks like, recognising hallucinations or omissions, and deciding when AI support is appropriate versus when a deterministic workflow or human review is required.

Testing, Evaluation, and Iteration of AI Solutions

In this workshop, judgement is applied to testing strategy and iterative improvement – selecting the right tests, interpreting results, and deciding what to fix now versus later. Apprentices practise designing test cases (including edge cases), running user testing, capturing feedback, and refining solutions while protecting reliability, accessibility, and security. The focus is on evidence-led iteration that makes solutions safer and more dependable before wider rollout.

Governance, Assurance, and Risk Management

In this workshop, judgement is applied to governance and assurance – ensuring solutions remain ethical, compliant, and secure over time. Apprentices practise structured risk assessment, documenting decision-making, considering bias and disproportionate impacts, and planning monitoring for drift, emerging vulnerabilities, and degraded performance. The focus is on auditability and accountability – being able to explain what the system does, why it was designed that way, and how issues will be detected and addressed.

Stakeholder Engagement, Training, and Change Adoption

In this workshop, judgement is applied to adoption, enablement, and change delivery – deciding how to communicate change, train users, and sustain new ways of working. Apprentices practise translating technical concepts into accessible language, designing user guidance, and supporting stakeholders through concerns and resistance. The focus is on making change stick through feedback loops, clear ownership, and practical measures of adoption and realised value.

Stakeholder Communication

In this theatre-based workshop, individuals have an opportunity to understand and put into practice the skills required to effectively communicate with teams, this includes giving feedback and presenting. The workshop will cover Interpersonal skills, communicating in different forms (verbal, written, non-verbal and digital), how to manage meetings (there will be theory and practice of this), understanding the impact of and how to demonstrate active listening and how to engage different audience types.