Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Your program is just one vulnerability away from overlooking significant risks. As financial institutions increasingly integrate complex calculations, holistic business models, and designated model owners, risk models are evolving in sophistication. Hidden dangers may lurk within the gaps between different models. However, organizations need not endure the fragmentation of their programs. The Crowe Model Risk Manager offers a software solution that seamlessly integrates model risk management throughout the entire process. This centralized platform, equipped with real-time visualizations, simplifies the management of workflows, allows for effective issue tracking, report generation, and compliance demonstration. Financial institutions can transition beyond traditional spreadsheets and emails to achieve a unified and thorough perspective. With our innovative software, understanding all facets of your model risk management becomes straightforward and accessible. Model owners can easily identify their responsibilities, along with defined next steps and continuous activity oversight. Furthermore, banks can implement automated workflows and actions, enhancing efficiency and ensuring the program remains on track. This holistic approach empowers organizations to proactively address risks, ultimately leading to more robust risk management strategies.
Description
The EY Trusted AI Platform offers organizations valuable insights into the origins and factors contributing to risk, while also assisting an AI design team in assessing and quantifying these risks. Utilizing interactive, web-based tools for schematics and assessments, the platform constructs a detailed risk profile for an AI system. It employs a sophisticated analytical model that transforms user inputs into a composite score, which reflects the technical risk, stakeholder impact, and control effectiveness associated with the AI system. To evaluate technical risk, the platform analyzes the AI system's design, focusing on various risk drivers such as the technologies utilized, the operating environment, and the system’s degree of autonomy. Additionally, when assessing stakeholder risk, the platform takes into account the goals and objectives set for the AI system, as well as the financial, emotional, and physical repercussions for both internal and external users, along with potential reputational, regulatory, and legal challenges that may arise. Overall, this comprehensive approach ensures that all facets of risk are thoroughly examined and understood.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Crowe
Country
United States
Website
www.crowe.com/services/consulting/financial-services/regulatory-response/model-risk-management/model-risk-manager
Vendor Details
Company Name
EY
Country
United Kingdom
Website
www.ey.com/en_us/consulting/trusted-ai-platform
Product Features
Product Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment