What happens to your company's knowledge when experienced employees leave? And how can AI help organizations preserve that expertise while transforming the way employees learn?
These are some of the questions explored in the latest episode of Full Tech Ahead, where host Amanda Razani sits down with Graham Glass, Founder and CTO of CYPHER Learning, to discuss the future of corporate learning and development (L&D).
From capturing institutional knowledge and accelerating employee onboarding to creating courses with conversational AI, the discussion explores how businesses can move beyond traditional training models and make learning a continuous part of everyday work.
Graham also shares his perspective on why human expertise remains essential in an AI-powered world and what personal learning agents could mean for the future of work.
Watch the Full Tech Ahead episode
Every organization relies on the knowledge and experience of its employees. But when experienced team members leave, valuable expertise often leaves with them.
Processes, best practices, and practical insights may be scattered across documents, stored in disconnected systems, or simply never written down.
During the conversation, Graham highlights the importance of making knowledge capture a continuous, accessible process rather than something organizations scramble to address when an employee departs.
AI offers a way to simplify this process by helping employees transform everyday workflows and expertise into structured learning content.
Instead of relying entirely on L&D teams to manually develop every course, organizations can empower subject matter experts to contribute their knowledge more easily, creating a growing resource that supports onboarding, development, and long-term organizational readiness.
Traditional course development can be time-consuming, requiring significant effort to organize content, design learning experiences, and build assessments.
But what if creating professional training could be as simple as describing what you need?
In the episode, Graham demonstrates a voice-driven AI tool that generates a structured professional curriculum in minutes.
The demonstration offers a glimpse into a more conversational approach to course creation, where employees and experts can describe a topic, outline their goals, and use AI to accelerate the development process.
For organizations, this opens up opportunities to:
The result is a more agile approach to workplace learning, where training can keep pace with the business.
One of the most memorable moments in the conversation comes when Graham describes AI as a "super smart puppy."
It's an analogy that captures both the potential and limitations of today's AI technology.
AI can generate content, follow instructions, and complete complex tasks at remarkable speed. But without the right guidance, it can also produce results that are inaccurate, poorly structured, or simply not fit for purpose.
That's why Graham emphasizes the continued importance of human expertise.
Rather than replacing experienced professionals, AI can help them work more efficiently by taking on repetitive tasks while humans provide the judgment, context, and oversight needed to ensure quality.
In workplace learning, this means combining AI-powered course creation with the knowledge of subject matter experts and the instructional expertise of L&D professionals.
The future isn't about removing people from learning. It's about giving them better tools to share what they know and help others succeed.
Looking beyond course creation, Graham also explores a future where every employee could have access to a personal AI learning agent.
Instead of relying solely on scheduled training sessions or static course catalogs, these agents could help employees identify relevant skills, access guidance, and receive personalized learning recommendations based on their roles and evolving responsibilities.
The conversation also touches on the Model Context Protocol (MCP), an emerging approach to connecting AI agents with organizational systems and information through standardized interfaces.
Together, these developments point toward a future where learning becomes more connected, contextual, and responsive to the needs of individuals and organizations.
For businesses, the opportunity extends beyond delivering training more efficiently. It's about making company knowledge more accessible and helping employees apply what they learn when it matters most.
As AI continues to reshape the workplace, organizations face an important challenge: how do they preserve valuable expertise, equip employees with relevant skills, and make learning easier to access?
In this episode of Full Tech Ahead, Graham Glass shares practical insights into how AI can help address these challenges while keeping human expertise at the center of the learning experience.
From institutional knowledge retention to voice-driven course creation and the possibilities of personal learning agents, the conversation offers a look at where workplace learning is heading.
Want to explore how CYPHER Learning helps organizations transform knowledge into meaningful learning experiences?
Schedule a demo to discover what's possible with an AI-native training platform.