Arthur.ai

Focus: Contextual Data Integration & Dynamic Personalisation Logic

The Challenge: Traditional e-learning is a "tick-box" activity because it relies on generic, passive content. Real-world, simulation-based learning is impactful but has historically been too expensive to scale.

The System: I designed the logic-flow for an AI-native authoring tool that achieves "contextual learning at scale." By integrating with organisational intelligence (Microsoft Work IQ), Arthur dynamically pulls a learner’s real-world context (colleagues, projects, and communication patterns) to generate hyper-personalized simulations (e.g., a phishing test from a real tech lead). I mapped a human-in-the-loop workflow, ensuring L&D professionals stay in control of the strategy while the AI handles the heavy lifting of content generation and personalisation.

The Impact: Reimagined the authoring process from a months-long manual task to an efficient, data-driven system. Arthur demonstrates a way for a learner’s context to drive engagement and, therefore, improve behaviour change.