Multi-Agent Data Contract Failures in Shared Schemas
One agent's bad write corrupts shared state for all downstream agents.
A semantic layer alone won't make enterprise data AI-ready.
One agent's bad write corrupts shared state for all downstream agents.
Security controls at the warehouse layer only work when every query path enforces them.
RBAC handles stable roles, while ABAC manages dynamic access needs.
A data dictionary becomes essential when AI agents need business rules enforced at query time.
Choosing the right data source prevents AI agents from confident answers built on unsuitable data.
How you connect Salesforce data shapes what your AI agents can actually accomplish.
Extend validation beyond format checks to catch distribution shift and temporal inconsistencies.
AI agents need master data that's self-describing, governed, and fresh enough to act on safely.
Five storage layers serve AI agents based on freshness, consistency, and reasoning requirements.
RBAC and ABAC each solve part of the problem; agents need both layers.
Models that look prescient often just have access to what already happened.