Completing courses and consuming content is only the start. Real business impact happens when learning sticks and translates into performance, yet most learning strategies are still built for content consumption, not capability building.
In this practical and insightful session, Nelson Sivalingam, author of Learning at Speed, draws on the principles from his prior work, The New Role of L&D: 7 Transformations for the AI Era, to explore how learning leaders can ensure skills are applied and performance improves at pace. Discover:
More questions about this topic? We’d love to help.
Contact Us
If courses are always the answer, what question are you really answering? Start with the problem and choose measures that show whether anything is really shifting.
Progress stalls when learning drifts from what the business actually needs. The real leverage is in making those capability gaps visible and acted on where work happens.
Quota driven training feels neat on paper, but it rarely reflects reality. When numbers lead and need follows it’s inefficient, and worse – it erodes trust in learning itself.
Introducing “learning challenge fit”, an analogy to product-market fit, and a strong challenge to the idea that learning shouldn’t exist unless it clearly solves a real business problem.
A clear walkthrough of the learning flywheel model, showing how learning, practice and feedback must work together, and why skipping any part undermines performance improvement.
An honest look at why even good learning teams struggle to scale effective learning, and how coordination costs, feedback delays and design effort slow everything down.
Exploring how AI agents can personalise learning at a granular level, adapting content, tone and difficulty to role, context and individual capability rather than one-size-fits-all courses.
A powerful explanation of why knowledge alone doesn’t create skill, and how AI-enabled practice and feedback can simulate real scenarios safely and repeatedly.
Discussing Harvard Business research showing learners rated AI coaching as more personalised and, surprisingly, preferred it over classroom training after just one interaction.
A structured set of shifts for L&D, including moving from events to ecosystems, designing for feedback loops, starting from capability gaps, and integrating learning into real work.
A sharp challenge to completion rates and output metrics, reframing the role of L&D around outcomes, performance improvement and the cost of inaction.
Completion metrics give you movement but not meaning. What we need to ask is whether anything changed, because without feedback loops, learning never quite makes it into the work.
If your learning model can’t flex when the business shifts, it’s already out of date. The key is to design something that can evolve so capability keeps pace without constant rebuilds.
Next time, why not ask your questions in real-time and join us on our PMI LIVE webinar?
Register now to take part in our LIVE and interactive sessions, featuring discussion panels with experienced practitioners, polls, chat, and Q&As, and virtual whiteboards with interactive exercises, to name but a few of the features that make the PMI LIVE webinar series unique.
View ScheduleIt’s a fair question, and one most teams are asking. But it’s not your role on the line, it’s the ways of working that never quite delivered.
Many teams are already “using AI,” but in practice they’re just scratching the surface; doing the same work, just faster. How differently are you willing to work?
GEMBAfication is PMI’s new podcast for improvement professionals looking for an honest view of what improvement really looks like in practice. Because in our world, every experience is valuable.
Listen Now
Copyright © Process Management International Ltd 1998 - 2026
