AI in apprenticeship delivery is urgent, not just interesting. Learn a practical method for building a disciplined AI strategy that improves cost, risk, and quality.
Funding bands have been frozen for years while delivery costs keep rising. Staff, compliance, and systems overhead now outpace what the funding model anticipated, and that gap widens every year. At the same time, roughly four in 10 apprenticeships still don’t reach completion, and audit scrutiny has not softened.
For most training providers, the maths is starting to break. This is exactly why AI has moved from a “nice to explore” topic to a genuine strategic necessity.
In this session, Aptem Chief Product Officer, James Love, cuts through the noise and gives you one repeatable method for turning AI interest into a strategy that holds up under operational and regulatory pressure.
You’ll come away with:
- A clear framework for identifying where AI should sit in your delivery model, and what kind to use.
- An understanding of the difference between AI that assists and AI that advises, and why that distinction matters for regulated work.
- A practical approach to building a “friction backlog”: the structured list of problems AI could solve.
- A 90-day plan you can start today, including a one-page responsible AI position statement template.
This working session is built for providers who want a method they can use, not another list of AI tools to evaluate. Watch the recording below.
Session 1 resources:
