INTELLIRISK
Transform Risk & Relationship
Management Leveraging Automated Trigger Processing
Our advanced solution utilizes state-of-the-art data integration, processing, and evaluation to empower financial institutions to proactively monitor, assess, and respond to critical risk triggers. This innovative approach helps Relationship Managers (RMs) and Risk Departments shift from reactive to proactive risk management, ensuring early detection of potential risks and more effective credit risk management.

THE PROBLEM
Tracking
Challenges
Risk and Relationship Managers (RMs) struggle to track and test these triggers consistently.
Missed
Warnings
Risk Departments often miss early warning triggers, resulting in reactive measures rather than proactive management.โจ
Testing
Gaps
Examples include quarterly testing schedules that might miss intra-quarter evaluations and external data events requiring manual checks.
Gentralization
Issues
Lack of centralized and standardized definitions for capturing covenants and triggers results in manual processes and inconsistent outcomes.
OUR SOLUTION

Data Sourcing
Consume and integrate data from diverse internal and external sources to enable thorough tracking, testing, and actioning. Our system supports the ingestion of various data types, including financial metrics, market indicators, and external economic factors. This forms a comprehensive data set to ensure that all relevant information is considered in the trigger management evaluation process.
- Efficiently consumes data points from diverse internal and external sources.
- Integrates financial metrics, market indicators, and external economic factors.
- Ensures all relevant data is considered in trigger management.
- Facilitates thorough tracking, testing, and actioning.

Mathematical Evaluations
Leveraging a sophisticated custom evaluation engine, our solution generates mathematical formulas to evaluate triggers and produce actionable alerts. These evaluations range from simple to complex and incorporate a multitude of variables. The mathematical models are designed to adapt to dynamic data changes, ensuring consistent and accurate assessments.
- Generates sophisticated mathematical formulas for evaluating triggers.
- Considers a multitude of variables for robust and reliable assessments.
- Adapts to dynamic data changes for up-to-date evaluations.
- Provides consistent evaluation criteria for accurate risk assessment.
- Generates actionable alerts based on trigger evaluations.
- Supports both simple and complex evaluation scenarios.

Early Warning System
Stay ahead of potential risks with our proactive Early Warning System. This feature continuously monitors the testing results and identifies any indication of deterioration. Providing timely alerts, the system empowers Relationship Managers and Risk Departments to take preemptive actions.
- Continuously monitors testing results for signs/trends of deterioration.
- Provides timely alerts to enable proactive risk management.
- Identifies potential risks before they escalate.
- Enables Relationship Managers and Risk Departments to take preemptive action.