Customer education is outgrowing the idea of “just an LMS.” In this episode, Dave Derington sits down with Mia Čomić, Product Marketing Manager at LearnWorlds, to unpack how the platform is evolving from a traditional course host into a true learning operating system for modern SaaS. Mia shares how her background in Comparative Literature, localization, and academy building shaped her perspective on learning as a continuous product experience—not a one‑off content drop.
We explore how AI is reshaping Customer Education: from speeding up content creation to orchestrating just‑in‑time learning, routing the right learner to the right asset at the right moment. They dig into the 2026 State of AI in Customer Education report, the idea of “structured professional balance” between humans and AI, and why completion rates are no longer enough. If you’re leading Customer Education, CS, or scaled enablement and wondering how to make AI practical (not gimmicky), this episode is for you.
Key topics & takeaways
- Why LearnWorlds is shifting from “course host” to learning product operating system
- The difference between a content library vs. a true learning system
- Why Customer ed teams “ask for a library but really need a system”
- Using AI for orchestration, not just content generation
- What “instructionally intelligent AI” means in practice
- The concept of structured professional balance: AI speed + human control
- AI as an orchestration layer across content, product signals, support, and lifecycle
- Customer education as a stress test for AI‑driven learning
- Why completion rates are the wrong north star; outcomes and behavior change matter more
- Budget realities for AI in CE and how teams are experimenting with small spends
- How the 2026 State of AI in Customer Education Report was built (quant + expert interviews)