In this webinar series, 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
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
Session 4: Bringing your team with you: the change leadership challenge inside the AI conversation
Most AI programmes in the sector stall not because the technology fails, but because the people side of the change is handled poorly. This session looks at why that happens, what the warning signs are, and how to lead the human side of an AI transition more effectively.
It covers the common patterns behind low adoption, what you are actually trying to change when you introduce AI, the impact on your team, five mistakes the sector makes repeatedly, and a practical introduction to the ADKAR change management model.
