According to Dun & Bradstreet AI Momentum Survey, 97% of organizations have active AI initiatives but only 5% say their data is adequately ready to support them.
This paper exposes the four foundational requirements for enterprise data infrastructure that can be safely handed to AI agents:
- Isolation: where the agent works, inside a zero-copy branch that keeps it sandboxed from production.
- Reproducibility: How its actions are reproduced, with every change saved as an immutable, taggable commit.
- Governance and compliance: What it’s allowed to do, set by role-based access control and pre-merge hooks.
- Accessible data access: How it reaches the data, through a standard mount, an Iceberg catalog, or MCP
