How Anding helped a mid-sized organization reduce training effort by 60%+ using an AI-powered learning platform
Organizational learning is an ongoing, resource-intensive process. In many organizations knowledge stays implicit, documentation is incomplete, and employees spend significant time locating information that already exists somewhere. This case study shows how an AI point-solution – OneTutor, implemented by Anding & Company – can cut training effort by more than 60%.
Client Example
A mid-sized organization with over 1,500 employees needed to train its workforce on a new IT platform within weeks. Training materials existed but were hard to retrieve, leading to repetitive requests to experts that were impossible to track. With Anding & Company as learning coordinator and OneTutor as the AI platform, effort per learning unit dropped from approximately 60 to 22 hours. Employees found relevant information within seconds, and anonymized interaction data gave leadership a clear view of knowledge gaps for the first time.
The approach: A three-phase rollout in four weeks
Deployment follows a lean three-step process: pilot with selected SMEs, content structuring and technical setup, then full onboarding and transition into operations. AI automates repetitive operational work such as content distribution, Q&A handling, quiz generation, certification. Content ownership, quality assurance, and strategic decisions remain human-led.
The mechanism: Turning existing materials into astructured knowledge system
OneTutor takes existing training materials – manuals, videos, transcripts – and converts them into a curated knowledge base. From this, the platform generates three outputs: a context-specific AI chat with direct source references, automated quizzes for knowledge verification, and learning analytics that reveal progress and gaps across the organization. Unlike generic large language models, OneTutor operates strictly within approved internal content. Zero data retention and Single Sign-On ensure data protection and seamless integration.
Establishing a systematic approach to organizational learning reduces the recurring cost of each training cycle. An AI point-solution, combined with structured human-led coordination, provides a viable path toward accelerating organizational learning at scale.