Model Risk Management
Your model failed.
Do you know what broke?
Proactive model risk intelligence. iTuring MRM detects degradation before failure with real-time risk visibility for every model, every day.
Built for regulated industries with complete transparency and traceability to support your audit processes.
While Others Hunt for Weeks, You Know in Minutes
30 Minutes vs 3 Weeks
iTuring Model Relevancy Score
1000+ Models Monitored
Complete Investigation Reports
*5 Spots Left This Week
Enterprise model risk teams report dramatic investigation acceleration and complete audit documentation with iTuring MRM.
How Investigation Intelligence Works
Detect
Relevancy Score detects degradation. (Real-time early warning indicators before performance drops)
Analyze
Three-layer drift analysis runs. (Model, Feature, Data simultaneously)
Identify
Model failure causation. (Data drift, feature degradation, accuracy drop identified)
Report
Complete investigation generated. (Board-ready evidence in minutes)
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 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
Thirdy-party models from Python, R, SPARK, PyTorch, SAS- compete drift analysis for any model
Every Parameter. Every Platform. Complete Intelligence.
Model Drift
KPIs
AUC, Precision, F1, Recall, PSI, CSI, EMD, R2, Adj-R2, MSE, MSEP, etc.
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
- Automated monitoring across drift parameters (model, feature, and data layers)
- One-click regulatory evidence exports and audit-ready documentation
- 30-minute root cause investigations with exact feature impact percentages
- Configurable dashboards and alert thresholds for your model portfolio
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 iTuring Model Relevancy Score detect issues before traditional methods?
iTuring 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.
