AI Tutor
A conversational learning assistant designed to explain operational concepts and respond to employee questions.
Case study · AI adoption
A pilot ecosystem explored how workflows, documentation and subject-matter expertise could be converted into scalable onboarding and knowledge resources.
Context
Operational expertise was available across process maps, service-level information, technical documentation and experienced employees. However, learning and knowledge access still relied heavily on manual explanation and the availability of subject-matter experts.
Approach
The pilot brought together more than 150 workflow maps, operational documentation, service-level and specification information, a detailed subject-matter transcript, frequently asked questions and process guidance.
The trial included approximately five weeks of knowledge capture, a rapid prototype build, approximately 50 representative questions and a supporting playbook.
Pilot concepts
A conversational learning assistant designed to explain operational concepts and respond to employee questions.
A structured, searchable source of process and operational knowledge.
An interactive knowledge-checking concept designed to reinforce learning and identify areas requiring further support.
Scale
Approximately five weeks of knowledge capture
Rapid prototype build
Approximately 50 representative questions
Supporting playbook and guidance
Outcomes
Demonstrated a practical AI adoption use case
Connected AI to existing workflows and knowledge
Reduced the conceptual gap between documentation and learning
Provided a model for scalable onboarding support
Identified the importance of trusted source content
Demonstrated how AI could complement subject-matter experts
AI becomes more useful when it is grounded in well-structured organisational knowledge and designed around a real user need.
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