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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

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 No 
Auditing No 
Business Process Control No 
Compliance Management No 
Corrective Actions (CAPA) No 
Dashboard No 
Exceptions Management No 
IT Risk Management No 
Internal Controls Management No 
Legal Risk Management No 
Mobile Access No 
Operational Risk Management No 
Predictive Analytics No 
Reputation Risk Management No 
Response Management No 
Risk Assessment No 

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