In this webinar, Aptem Chief Product Officer James Love shares a practical approach to using AI in apprenticeship delivery. Each month, James will be sharing his expertise on AI, including practical tips, regulatory requirements and actionable strategies.
Session 1: Building an AI strategy that solves real problems
This webinar explains why AI is becoming a strategic priority and how to apply it in a way that is practical, measurable and responsible. Rather than focusing on tools, the session outlines how to identify the areas where AI can have the greatest impact. This includes common challenges such as tutor and coach administration, tracking off-the-job training, evidence management and audit preparation.
Watch the recording to learn how to apply AI in a way that improves efficiency, maintains compliance and enhances the learner experience.
Session 1 resources
- Responsible AI position statement template.
- 90-day AI strategy challenge guide.
- Friction backlog worksheet.
Session 2: A plain-English guide to AI capabilities for apprenticeship delivery
This session brings clarity to common AI terms and shares what it means in practice and what’s genuinely useful day to day. Information shared includes the difference between automation, augmentation, and classification or decision support, and why most practical value comes from high-volume admin and clear risk signals rather than more ambitious ideas like personalisation.
Watch the session for a clearer, more realistic starting point for the application of AI in apprenticeship delivery.
Session 2 resources
Session 3: The critical distinction: understanding the opportunity of different AI products
This session moves from strategy and understanding into choices. James walks through a three-layer model for AI tooling that applies across both learner operations and business operations: the AI embedded in the products you already use, the general-purpose horizontal layer, and what you build yourself. The session covers how to think about each layer, where the risk sits, and how the layers can reinforce each other rather than overlap.
James also shares a seven-question test drawn from UK GDPR, ICO guidance, the Jisc procurement framework, and the DfE's generative AI product safety standards, to help providers evaluate any AI supplier before signing. The session closes with three rollout approaches and a case study from Aptem's own AI transformation.
Watch the recording to learn how to structure your AI tooling landscape, assess suppliers rigorously, and roll out in a way that avoids both sprawl and paralysis.
Session 3 resources
- AI use and governance charter - starter template
- AI supplier assessment - seven questions
- AI suitability and impact assessment - starter template
Session 4: Bringing your team with you: the change problem inside the AI conversation
This session focuses on the change management challenge that sits behind every AI rollout in the training provider sector. Rather than talking about specific tools, the session makes the case that most AI initiatives stall for human reasons rather than technical ones, and walks through why that happens, the warning signs to watch for, and a practical model (ADKAR) for leading people through the change properly.
Topics covered include why AI initiatives stall, redesigning processes before automation and the impact of AI transformation on teams. The session also addresses five common mistakes in AI change leadership and shares the ADKAR framework (Awareness, Desire, Knowledge, Ability, Reinforcement) as a practical way to lead change well.
Session 4 resources