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CentrlGPT: A groundbreaking generative AI solution designed to transform risk and diligence oversight

Learn more about the most advanced generative AI solution designed to transform risk and diligence oversight.

3 Steps to Implementing AI in Your Due Diligence Process

Incorporating generative AI into due diligence is a strategic process that can significantly enhance the efficiency and effectiveness of risk assessment. To successfully leverage these advanced tools, diligence teams should consider a structured approach.

CENTRL Rolls Out New Auto Populate Feature To Pre-Fill Due Diligence Questionnaires For Its AI-Powered Due Diligence Platform, CentrlGPT

CENTRL announces the launch of its new AutoPopulate feature, a major enhancement to CentrlGPT, its advanced AI platform. The Auto Populate feature was designed using Investment Management industry trained Large Language Models to fill a critical need in the due diligence process by automatically populating Due Diligence Questionnaires (DDQs) based on documents or standard DDQs previously received from Managers.

Understanding the Impact of the Digital Operational Resilience Act (DORA) on Third-Party Risk Assessments for Banks in the EU: How Can AI Help?

The Digital Operational Resilience Act (DORA) emerges as a pivotal regulatory framework aimed at fortifying the digital infrastructure of banks and financial service providers. One crucial aspect of DORA is its potential impact on third-party risk assessments, a cornerstone in safeguarding the financial industry against cyber threats and operational disruptions.

How AI Addresses Due Diligence Challenges Head-On

Check out our latest blog on how AI addresses due diligence challenges head-on

Vendor360 Helps Global Electric Vehicle Manufacturer Automate Vendor Processes

Learn why a large up and coming Original Equipment Manufacturer (OEM) in the electric vehicle (EV) automotive space chose CENTRL’s Vendor360 after an exhaustive search of more than a dozen other solutions. We have a science to our decision-making process now.

How AI Transforms Risk Assessments Through the Systematic & Consistent Application of Risk Intelligence

Check out our latest blog on how AI transforms risk assessments through the systematic & consistent application of risk intelligence

Automated Invoice Management and Reconciliation for Improved Cost Management and Efficiency

Invoice Aggregation is a highly advanced solution to help Network Managers streamline their invoice management process through automated invoice capture, maximize their cost savings through automated reconciliation and make smarter strategic decisions through real-time visibility into their expense trends.

USA Mortgage Automates Vendor Risk Management With CENTRL

USA Mortgage Automates Vendor Risk Management With CENTRL. CENTRL’s user-friendly, feature-rich platform streamlined USA Mortgage’s processes and freed employees to focus on high-value tasks.

CENTRL Announces the Launch of Invoice360, an Advanced Invoicing Aggregation and Cost Management Solution for Securities Services Industry

CENTRL Announces the Launch of Invoice360, an Advanced Invoicing Aggregation and Cost Management Solution for Securities Services Industry

CentrlGPT - Your AI-Powered Risk Copilot

CentrlGPT is the first of its kind generative AI solution for third-party risk and diligence. CentrlGPT leverages the power of Large Language Models to act as a risk copilot for your diligence teams, dramatically enhancing the efficiency and effectiveness of your risk process. CentrlGPT is designed as a secure enterprise solution to be trained with your custom risk models and implemented as a seamless extension of your current CENTRL platform.

CENTRL’s DD360 Helps Global Fund-of-Funds Firm Streamline and Scale Operational Due Diligence

Unleash AI-Powered Due Diligence: Transform Your Risk Management Today

Check out our latest whitepaper to discover how Artificial Intelligence (AI) is revolutionizing operational due diligence and empowering analysts to work more efficiently, saving time and resources while enhancing the effectiveness of risk management.

CENTRL Announces CentrlGPT, The First Of Its Kind Generative AI Solution For Risk And Diligence

CENTRL announces the launch of CentrlGPT, a first of its kind generative AI solution to transform the risk and diligence process. CentrlGPT leverages OpenAI’s platform to provide users with the intelligence and the power of Large Language Models.

This 10-Point Checklist is intended to help prepare RIAs for the proposed new Third Party Risk Management rule under the Investment Advisors Act of 1940

Outsourced Vendor Risk Management

In October 2022, the Securities and Exchange Commission (SEC) proposed a new rule that would require registered investment advisors (RIAs) to satisfy due diligence on vendor risk management and ongoing monitoring requirements for specific “covered functions and services” that they may consider outsourcing to new vendors and existing service providers.

CENTRL’s Bank Network Management Platform empowers leading bank to embrace automation for critical due diligence and risk management processes

CENTRL Partners With BlueVoyant to Bring Third-Party Cyber Risk Monitoring to its Third-Party Risk and Diligence Platform

CENTRL’s due diligence platform now offers continuous cyber monitoring of third parties.

Don't Trip Over What's Behind You

Scott Decker, Global Head of Investment Management Solutions at CENTRL, discusses how investment managers need to focus on high-value activities and decision making, and why the current economic climate has created an environment in which organizations need to turn to automation tools to help re-prioritize activities of their team.

Why are we still talking about data paralysis from due diligence questionnaires?

Scott Decker, Global Head of Investment Management Solutions at CENTRL, shares his thoughts on data paralysis from due diligence questionnaires, and how automation can help streamline the due diligence process.

5 Best Practices for Optimizing Data Use in Bank Network Management

Data is one of the most valuable assets a financial institution (e.g., a bank) has at its disposal. But most financial organizations struggle to make the best use of it. Read this blog to see the 5 best practices your organization should implement to optimize data use.

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