The instinct is to build more review capacity, fast, which doesn’t work. A knowledge manager can thoroughly review 350 to 600 pieces of content. The organization needs 5,000 to 15,000. Most stay stuck at 8 to 12% no matter how many reviewers they add, while AI cuts the half-life of documentation in half. The Knowledge Accuracy Gap, a new ebook from Guru’s Rick Nucci and Hillary Curran, explains why manual review won’t work and the two-layer architecture teams are using instead. It draws on conversations with AI transformation leaders, including a health insurance CIO and clinical operations leaders at pediatric and digital health organizations.
