Model Risk Management
Still investigating model drift manually?
Full-spectrum model risk intelligence. Ituring mrm detects issues weeks before traditional methods – complete investigation in 30 minutes, not 3 weeks.
Monitor models from any platform. Built for regulated industries with complete transparency and traceability to support your audit processes.
Fast Detection and Investigation
While Others Hunt for Weeks, You Know in Minutes
iTuring Model Relevancy Score
iTuring Model Relevancy Score
iTuring Model Relevancy Score
Complete Investigation Reports
*3 Spots Left This Week
Enterprise model risk teams report dramatic investigation acceleration and complete audit documentation with iTuring MRM.
Our Investigation Process
How Investigation Intelligence Works
Detect
iTuring Model Relevancy Score flags issues. (Weeks before traditional methods)
Analyze
Three-layer drift analysis runs. (Model, Feature, Data simultaneously)
Identify
Root cause pinpointed instantly. (Exact features with impact percentages)
Report
Complete investigation generated. (Board-ready evidence in minutes)
All Model Sources Monitored
Zero Surprises. Complete Coverage. Instant Intelligence.
Proactive Detection
Issues identified weeks before performance drops
Complete Documentation
Every action time-stamped and transparent
Custom Configuration
Monitor only what matters for your use case
Monitor Every Model – No Matter Where It’s Built
iTuring Models
iTuring AutoAI models with complete data lineage tracking and baseline comparison analysis
Production Models
iTuring Model Ops deployed models with real-time and batch data monitoring capabilities
External Models
Third-party models from Python, R, SAS - complete drift analysis for any platform
What We Track
Every Parameter. Every Platform. Complete Intelligence.
Model Drift KPIs
AUC, Precision, F1, Recall, Accuracy PSI, EMD, Incidence Rate tracking
Feature Drift KPIs
Fisher Score for numerical features Information Value for categorical features
Data Drift KPIs
Distribution, Missing, Skewness, Variance Mean, Standard Deviation monitoring
Custom Dashboards
Configurable templates and KPI selection Project-specific monitoring views
Alert Management
Configurable thresholds and severity levels Complete alert history with details
Automated Recommendations
Incremental, partial, complete retraining Data-driven remediation guidance
Investigation Intelligence - Know What Shifted, Why It Shifted, Show the Proof
- Dedicated implementation team and solution architect
- Custom monitoring configuration for your model portfolio
- Complete investigation intelligence training program
- Priority support through full production deployment
Frequently Asked Questions
What is Model Risk Management and why is investigation speed critical?
Model Risk Management monitors machine learning models for performance degradation and compliance issues. For enterprise teams managing 200-1000+ models, manual investigation taking weeks creates operational risk. iTuring provides investigation intelligence that identifies issues and root causes in 30 minutes.
How does CI Model Relevancy Score detect issues before traditional methods?
CI Model Relevancy Score uses advanced statistical analysis to identify model failure patterns weeks before they become visible in standard performance metrics. Combined with three-layer drift analysis, this provides early warning across model, feature, and data dimensions.
Can iTuring monitor models built on platforms other than iTuring?
Yes. iTuring MRM monitors three model types: iTuring AutoML models, iTuring+MLFlux production models, and External models from any platform including Python, R, SAS, and third-party APIs. Complete investigation intelligence works regardless of model origin.
How long does model drift investigation take compared to manual methods?
iTuring completes comprehensive model drift investigation in 30 minutes versus 3 weeks with traditional manual methods. The system analyzes model, feature, and data drift simultaneously, identifies exact root causes, and generates complete investigation reports automatically.
What documentation does iTuring provide for compliance and audits?
Every investigation action is automatically time-stamped and documented with complete transparency. iTuring provides comprehensive audit trails, drift analysis reports, root-cause identification, and remediation recommendations to support your compliance and audit processes.
How does custom dashboard configuration work for different use cases?
Users create monitoring templates by selecting relevant KPIs from model, feature, and data drift categories. Custom dashboards can be configured for specific projects, model types, and monitoring requirements with configurable alert thresholds and periodicity.
What monitoring parameters does iTuring track across model portfolios?
iTuring monitors Model Drift KPIs (AUC, Precision, F1, Recall, PSI, EMD), Feature Drift KPIs (Fisher Score, Information Value, Correlation), and Data Drift KPIs (Distribution changes, Missing patterns, Statistical variations) with complete configurability.
Does iTuring provide actionable recommendations when drift is detected?
Yes. When performance thresholds are exceeded, iTuring automatically provides data-driven recommendations including incremental retraining, partial model updates, or complete model refresh based on drift severity and impact analysis.