The modern AI stack: A blueprint for trusted agentic AI

Most enterprise AI doesn’t fail in the model. It fails in the data.

AI agents are now executing decisions in production at machine speed. Most enterprise architectures are missing the one layer that determines whether those decisions can be trusted and audited. This ebook presents the blueprint that closes that gap. Developed with Snowflake and Deloitte.

What you will find inside:

• The five-layer Modern AI Stack architecture, and why most enterprises are building Layers 1, 2, 4, and 5 while skipping the one that determines whether agents can operate reliably
• Why available data and trusted data are not the same thing, and why that gap is invisible in pilots but catastrophic in production
• How to structure a Data Trust Layer so AI agents can proceed, pause, or escalate based on certifiable quality signals, not assumptions
• What trusted agentic AI requires from regulated enterprises in financial services, utilities, and life sciences