Documentation is critical for capturing domain knowledge, yet it often lags behind system design and business reality. In this session, Ayoade explores how his team leveraged AI to create data-driven documentation that keeps pace with evolving domains.

By combining structured inputs with large language models, they automated the capture of business-specific processes, turning tribal knowledge into living documentation accessible to both technical and non-technical teams.

This approach improved communication between developers and domain experts, reinforced ubiquitous language, and reduced onboarding friction. Attendees will learn practical strategies for applying AI to documentation in domain-driven contexts, including challenges, pitfalls, and the socio-technical implications of shifting documentation from a static artifact into an adaptive, AI-supported knowledge base.