Attensi brings NTNU students into London to showcase AI-driven training systems
NTNU students visit Attensi’s London office, exploring how AI-driven simulations and virtual human technology are applied in real-world training environments.
Students from the Norwegian University of Science and Technology (NTNU) visited Attensi’s London office last week to examine how AI-driven simulations and multiagent systems are being built for real-world training.
The session reflects a broader shift in EdTech and workplace learning, where attention is moving from prompt-based tools to more structured, experience-led AI systems.
More than 20 M.Sc. Industrial Economics and Technology Management students took part in the visit, working directly with Attensi’s product and AI teams to understand how digital training environments are designed and deployed.
Moving beyond prompt-based AI
A key focus of the session was the distinction between standalone AI features and systems designed around coordinated agents, context, and specific learning outcomes.
Students explored how simulation-based platforms are structured to deliver consistent, scenario-driven interactions, rather than relying on single prompt-response models. The approach reflects how some training providers are positioning AI not just as a content tool, but as a mechanism for behavior change and skills development.
Kristoffer Ryen Skullerud, M.Sc. Industrial Economics and Technology Management, NTNU, says: “All the students got so much out of the visit – it was particularly enlightening to see the difference between AI features that simply adopt a prompt interface and native AI products that are designed to create experiences with multiple agents working together in the background with specific tasks.”
Testing virtual humans in training scenarios
The group tested Attensi’s RealTalk platform, which uses AI-driven virtual humans to simulate workplace conversations. Students interacted with the system in real-world scenarios, assessing how it handles communication challenges and maintains consistency across responses.
The session also explored how context engineering is used to shape interactions, with a focus on keeping responses aligned, realistic, and appropriate for training environments.
Justin Blanchard, Creative Director at Attensi, says: “We asked the students to put RealTalk through its paces and they didn’t disappoint – engaging with our AI virtual humans with the same energy and enthusiasm they showed for our experts at Attensi.”
For EdTech and workforce learning providers, this type of engagement reflects a wider push to connect AI theory with implementation. Simulation, multiagent design, and context-aware systems are becoming more visible as part of how organizations approach training, particularly in areas such as communication, decision-making, and frontline skills.
