Perspectives on document data infrastructure, deterministic AI, and building systems that give the same answer every time.
AI was supposed to save time. For many organizations, a third of the time saved gets eaten by checking, fixing, and re-doing the AI’s work. The industry has a name for it: the AI tax.
The commercial incentives and industry attention still skew heavily toward capability. We think the work of closing the reliability gap is where the most consequential value in enterprise AI is being created.
Everyone wants AI agents that process documents autonomously. But autonomy without consistency is a liability.