Enterprise context exists in operational systems, analytical platforms, documents, process knowledge, and the relationships between people and work. Most organizations have never had to connect all of it in a form that software can understand.
That becomes a critical gap when AI moves from answering general questions to participating in enterprise workflows.
Why context is missing
Traditional data architecture was designed primarily for human-facing applications and analysis. Operational stores capture transactions. Analytical platforms organize data for reporting. Document repositories hold policies, procedures, and working knowledge. Each serves a purpose, but they are usually managed independently.
Important context also remains implicit. The relationship between a process and its owner, a product and its supporting documents, a person and their responsibilities, or a regulation and the assessments it affects may never be codified as data.
Agents need more than access to information. They need the relationships that explain what the information means in the enterprise.
What ReKnew builds
The ReKnew Context Engine creates a governed platform for assembling and serving enterprise context. Source systems are configured as providers and mapped to a shared Organization World Model. The mapped information is stored, connected in a knowledge graph, and made available to approved applications through Context Tools.
A management layer supports configuration, mapping, discovery, synchronization, and observability. Governance controls protect integrity, security, and quality throughout the platform.
How the Context Engine works
The engine creates a path from disconnected enterprise sources to context that an application can retrieve when processing a request.
ReKnew Context Engine
The Organization World Model and the Context Graph are bound by a governed ontology the Context Engine already provides. All managed context—from documents and semantic layers to knowledge vaults—is integrated into the Context Graph and exposed through Context Tools. Other enterprise or external resources are also supported.
What the enterprise model contains
The Organization World Model describes what an enterprise is and what it does. It gives the graph a common structure for representing core entities and the relationships between them.
- Organization
- People, roles, responsibilities, departments, and hierarchy.
- Portfolio and value streams
- Products, processes, ownership, and the work that connects them.
- Compliance
- Regulations, regulatory agencies, assessments, and related obligations.
- Customers
- Profiles, journeys, interactions, and the context around service needs.
Because these entities share one model, an application can traverse relationships rather than retrieving isolated records.
How applications use the context
Context Tools expose the knowledge graph through multiple interfaces—the Model Context Protocol (MCP), a REST API, and Agent-2-Agent (A2A). They create uniform surfaces for agentic applications to access resources and connected knowledge.
When processing a request, an application can use these tools to identify the relevant people, process, product, customer, or obligation, retrieve connected knowledge, and apply that context during reasoning.
The result is a reusable and scalable context foundation—an organization brain—that can support multiple agentic applications while keeping mapping, governance, discovery, and observability in one platform.
Connect enterprise knowledge