At Multiverse, we don't just teach technology; we embody the change it brings.
Last year, our commitment to empowering our team’s AI use resulted in a 37% growth in revenue per employee. We believe the most powerful AI tool is not a new piece of software, but a workforce that has been taught how to effectively use it.
Our transformation shows that true AI adoption requires more than just access to technology—it demands an entire behaviour change.
Beyond the tool: It's a mindset shift
Many leaders believe their teams just need to learn a new tool to achieve meaningful results, but true transformation demands more. It involves reimagining entire workflows and understanding where the AI tool fits—or where it completely replaces existing processes. Furthermore, it requires focusing on the essential human skills, like critical thinking, to filter results and identify inaccuracies.
Leading a team through this shift, especially when some are reticent to adopt new tech, is a core element of culture change.
How our Learning team uses AI for impact
Our dedicated Learning team is constantly adapting, recognising that in the world of AI, continuous, real-time learning is paramount.
1. Improving the learner experience
We are focused on using AI to deliver a hyper-personalised, contextualised, and enjoyable learning experience.
- Personalisation at scale: AI allows us to move beyond one-on-one mentoring, which was previously necessary for deep customisation, by using the knowledge of LLMs to personalise and contextualise content for each learner.
- Real-time relevance: The world of AI moves fast, so we created protected learning time for our subject matter experts to stay current. We also use AI agents to scan the entire market, collect information, and bring back reports to highlight where we need to focus our attention, ensuring our content is always up-to-date.
- Innovative tools for apprentices: AI is interwoven into the apprentice experience to make learning easier. Our contextual, AI-powered coach, Atlas, helps learners understand why they are stuck and how to unblock themselves, rather than just giving the answer.
- Tools for creators: We've built internal AI tools that remove the challenge of the "blank page" for our learning designers, helping with initial creation, automation, and consistency.
2. Delivering outcome-driven learning
In the AI era, learning is not for learning’s sake; it is for enabling new individual or company capabilities.
- Measuring impact: The rise of AI and modern data systems means we can now connect learning to concrete, measurable results. We can get a "before and after snapshot" to understand the true impact that learning has on outcomes in a way that was never possible before.
- Outcome focus: This capability makes learning truly outcome-focused. We start with what we’re trying to achieve, and work backwards from there to understand what skills our learners need to develop in order to get there.
The foundation of our success is understanding that human adoption drives technology's value. By shifting our internal culture, we are not just keeping pace with AI—we are actively shaping the future of work, delivering personalised experiences for our learners that deliver true transformation.
