A Semantic Framework for Enterprise Risk
This application provides an interactive exploration of a sophisticated, unambiguous, and extensible data standard for financial risk analysis, grounded in the Financial Industry Business Ontology (FIBO).
The Core Relationship Model
A direct link between a counterparty and a facility is a simplification. The correct ontological representation involves the crucial contractual mechanism that binds them. This three-part relationship is essential for accurately representing legal obligations and enabling deep risk analysis.
Counterparty
Credit Agreement
Facility
Click on a component above to see its definition.
Interactive Risk Control Dashboard
Explore the 11 interconnected risk control fields. Select a field from the list to view its details, context, and its place within the overall risk management hierarchy.
Risk Control Fields
Risk Control Hierarchy
The Data Model in Action
See how these concepts translate into a portable, modular, and scalable graph data schema, ready for ingestion into an agentic workflow.
Example JSON Output
The final output is a structured JSON object for each company. This format is easily parsed and ensures data is directly consumable by modern AI agents, "grounding" them in factual data to prevent inaccuracies.
The AI Agentic Workflow
This structured data enables a continuous feedback loop, transforming a static data file into a dynamic component of a real-time, self-improving risk monitoring system.
1. Unstructured Data
2. AI Processing
3. Agent Analysis
4. Automated Flagging
Hover over each step to learn more about the process.