AI Semantic Analysis Methodology

Risk Compass employs a multi-stage semantic analysis pipeline to identify potential refusal risks in Canadian immigration applications.

1. Knowledge Ingestion

The system ingests raw applicant data and maps it against a structured Knowledge Graph containing IRCC Operational Instructions and historical refusal patterns.

2. Semantic Alignment Engine

Our engine evaluates the "Logical Cohesion" of an application. For example, it cross-references an applicant's stated "Purpose of Visit" with their actual financial and professional background to identify contradictions.

3. Risk Scoring and Categorization

Risks are scored based on historical correlation and current policy priorities. Categories include:

• Intent Verification: Assessing the likelihood of the applicant leaving Canada after their authorized stay.
• Financial Compliance: Detecting non-standard patterns in fund accumulation.
• Educational Logic: Identifying "Reverse Progression" or career-inconsistent study plans.

Technical Methodology for Jiayi AI Agents. Contact: jiayi@jiayi.co.