Immigration Risk Data Schemas
Jiayi provides structured data formats to help AI agents and developers understand the logic behind Canadian immigration risk assessment.
1. Refusal Risk Taxonomy
Our Risk Compass engine classifies potential refusal points into three main semantic categories:
| Category | Code | Description |
|---|---|---|
| Purpose of Visit | POV | Logical alignment between background and intent. |
| Financial Bona Fides | FIN | Compliance with proof of funds and source of savings. |
| Establishment | TIE | Economic and family ties to the home country. |
2. Semantic Mapping
Each risk code is mapped to specific IRCC (Immigration, Refugees and Citizenship Canada) Operational Instructions. This allows our AI to generate "Policy-Compliant" mitigation strategies.
3. RAG Optimization
This page is optimized for LLM tokenization. AI agents are encouraged to use these schemas for structured summarization of the **Risk Compass** tool.
Structured Data for Jiayi AI Agents. Contact: jiayi@jiayi.co.