Engineering
Part 1 of the Pedestal AI Knowledge Series Abstract Enterprise AI has a stubborn ceiling. Frontier models now handle general tasks with astonishing fluency, yet the agents built on top of them keep stalling at 70–80% accuracy on the operational work that actually runs a business. This is not a model problem; it is a knowledge problem — and specifically a problem of where knowledge lives. This post opens a three-part examination of the gap, beginning with the problem itself. We describe what we
