Carol Bishop-Castro leads Knowledge Management and Learning Innovation at Stanford Health Care, and her taxonomy journey started with a single knowledge base. Faced with scattered, siloed content, she knew real progress toward self-service, AI, and Knowledge-Centered Service had to start with structure.
Carol embedded continuous governance using tools like the Article Quality Index and Process Adherence Review, aligned taxonomy with Knowledge-Centered Service practices to drive reuse and clarity; and made it all AI-ready by enhancing metadata, search terms, and content connections to support emerging tools.
The results speak for themselves:
A 60% increase in knowledge searches
56% boost in AI ranking relevance
But perhaps most impressive is the ripple effect: Carol's work is now influencing teams across the organisation, becoming a trusted advocate for sustainable taxonomy - someone who understands the friction teams face and shows how structure can turn chaos into clarity.
The judges described Carol as a very worthy winner. They praised her compelling story - transforming a chaotic, unstructured approach into an integrated, AI-ready model backed by clear, impactful metrics, and noted that her work sets a benchmark for others in the field. They also highlighted Carol's leadership within the organisation through mentorship and advocacy - and her contributions to the wider knowledge management and taxonomy community.
OUR JUDGES
A big thank you to our judges, who have given their time to review the entries and select this year's winner:
Dawn Brushammar, KM Consultant, Advisor & Evangelist, Dawn Brushammar Consulting AB, Sweden
Dan Howarth, Content Designer, Dept for Business & Trade, UK
Helen Lippell, Taxonomy & Search Consultant, Helen Lippell Business Services, UK