White Paper: AI Model Risk Management
Blog: Critical Success Factors in Enterprise Model Governance
eBook: The Evolving Role of Model Risk Management in AI
Orchestrate and automate the governance of your production models with ModelOp Center
Manage Model Inventory
Maintain a comprehensive inventory of all production models
Control Risk
Real-time monitoring of model performance, retraining and re‑validation
Gain Insights
Adhere to ethical, business and regulatory policies
Automate and orchestrate with an AI governance workflow
- Integrates with MRM systems, IT Systems, Business Systems
- Includes MRM requirements in model life cycle
- Collects and maintains MRM metadata for auditability
Continuously monitor model performance against MRM-supplied conditions and controls
- Automatically detects breaches to controls set by MRM team
- Proactive alerts and notification to stakeholders
- Remediate compliance and quality controls issues
Maintain a comprehensive and complete enterprise production model inventory
- Manages documentation, test and training data, model source versions other artifacts in a central repository
- Integrates with MRM and other governance systems to maintain a record of all steps and approvals
- Manages all types of models using a standard model definition
Meet Our Risk Management Experts
“What you’ve been doing to manage model risk is simply no longer good enough. A whole new framework for managing analytics op risk is needed, and fast.”
H.P. Bunaes
“The key to operationalizing model development and artificial intelligence in a responsible manner is getting your arms around having the right tool sets and knowledge to actually enable policy management.”
Avi Kalderon
