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Ratings and Reviews 0 Ratings
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What is Temenos Financial Crime Mitigation?
The all-encompassing product suite seamlessly combines sanctions screening, PEP matching, KYC risk scoring and categorization, AML transaction oversight, and fraud deterrence, while also addressing user needs such as alert management, case handling, reporting, and dashboard functionalities. Used by over 300 financial institutions globally, from prominent international banks to smaller regional players, Temenos’ acclaimed Financial Crime Mitigation (FCM) suite equips banks and financial entities to avoid regulatory fines, detect fraudulent activities, and minimize reputational risks, all while increasing operational efficiency and optimizing expenses through a risk-based strategy. By leveraging sophisticated algorithms, smart contextual whitelists, and automated processes, the platform effectively reduces operational costs. Clients have noted a significant enhancement in their efficiency for hit evaluations, with some experiencing a striking 250% improvement alongside only a 30% increase in workforce size. This remarkable integration of algorithms, rules, and Artificial Intelligence highlights the FCM solution's proficiency in the financial landscape. Additionally, the comprehensive methodology guarantees that all facets of financial crime prevention are addressed, offering reassurance to financial institutions and their stakeholders, ultimately fostering a more secure banking environment. As such, the FCM solution not only meets regulatory demands but also supports the long-term sustainability of financial organizations.
What is GBG Digital Risk Management & Intel?
The GBG Digital Risk Management & Intelligence Platform provides a thorough solution for detecting fraud risks at every stage of the customer experience, beginning with onboarding and extending through transactions. Seamlessly integrating with existing core banking systems, our platform is adept at identifying and preventing financial crimes, thus ensuring a fluid experience for clients during all phases of their interactions. By harnessing the power of machine learning, advanced risk assessment methodologies, and crucial intelligence, it enables businesses to outpace the evolving complexity of fraud schemes. This comprehensive strategy for addressing financial crime includes diligent oversight of customer accounts, allowing for the detection of irregularities and potential risks using cutting-edge machine learning techniques and intelligence. Additionally, the platform streamlines the risk evaluation and decision-making processes, employing sophisticated fuzzy match algorithms to uphold an uninterrupted experience for users. In the end, this fosters enhanced trust and security within your financial services, encouraging customer loyalty and confidence in their transactions. By prioritizing robust risk management, organizations can better protect themselves and their clients against the ever-changing landscape of financial threats.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Temenos
Date Founded
1993
Company Location
United States
Company Website
www.temenos.com/products/financial-crime-mitigation/
Company Facts
Organization Name
GBG Plc
Date Founded
1989
Company Location
United Kingdom
Company Website
www.gbgplc.com/apac/products/digital-risk-management-intelligence-platform/
Categories and Features
AML
Not specified
Financial Risk Management
Not specified
KYC
Not specified
PEP & Sanctions Screening
Not specified
Categories and Features
Financial Risk Management
Not specified