Data Architecture for Enterprise Agents

All research › Enterprise Agent Architecture

The data architecture that enterprise agents require in order to reason reliably. Each paper treats a separable component of the substrate the model consumes.

Papers

Listed in reading order.

01 Dynamic Context Assembly The discipline that keeps an agent's context minimal, grounded, and sufficient, and the substrate that makes sufficiency defensible.
02 Semantic Layers in Enterprise Agent Systems How semantic layers bridge what a model natively understands and what the domain requires, and the design principles that keep them coherent.
03 Agentic AI: Navigating and Executing Through Semantic Layers Based on the Organization's Position on the AI Maturity Curve Why navigation gets easier with semantic-layer maturity while execution gets harder with each business process, and the five-stage curve that determines which architecture is right at each point.
04 Governance as Middleware Why informational governance fails in financial systems, and the middleware architecture that delivers deterministic enforcement and audit-grade certification.