This article explains how enterprises can build a reliable AI Knowledge Platform that transforms organizational data into institutional intelligence. It outlines the design of a Domain Intelligence Layer, a contextual engine that embeds an organization's business logic, workflows, and governance into AI systems. The framework uses a model-agnostic, cloud-native architecture (Azure, AWS) with role-based access control (RBAC) for secure, context-aware knowledge retrieval. Covering principles of agility, data integration, and privacy, the post shows how organizations can advance from isolated AI tools to scalable, auditable systems that reflect their organizational DNA.
(more…)
