Resources

AI Agents in Diligence: A Look At The Future of the Industry

Investment management due diligence is a perfect use case for Agentic workflows. Why? Because the process is complex, high-volume, highly regulated, and often repetitive—yet it requires deep reasoning and domain expertise. Both sides of the diligence process—allocators conducting due diligence and asset managers responding to it—stand to benefit immensely from Agent-driven workflows.

Using AI To Transform Manager Due Diligence: CENTRL Introduces New “Verification” Flow

The emergence of domain-trained AI models provides a powerful opportunity to revolutionize manager due diligence, making it more efficient, transparent, and insightful. This blog explores how leveraging CENTRL’s newly introduced “Verification” flow provides more options to streamline the process, making it faster, more accurate, and less labor-intensive.

How Will Artificial Intelligence Transform the DDQ Process?

Generative Artificial Intelligence (genAI) is a powerful technology transforming the investment management industry. This blog explores how AI saves time and increases accuracy, highlighting how content management, question response processes, and administrative steps involving input and output can be streamlined using AI.

Navigating the Challenges of DDQ and RFP Responses in the Investment Management Industry

Responding to Due Diligence Questionnaires (DDQs) and Requests for Proposals (RFPs) is a critical process in the Investment Management industry. Asset managers and service providers are inundated with these requests from clients, with large firms often handling hundreds, if not thousands, of such questionnaires annually. These documents typically cover a wide range of topics, including governance, operations, compliance, and IT. While the importance of these responses cannot be overstated—given that they play a key role in assessing risks and maintaining client relationships—the current process of managing DDQs and RFPs is fraught with challenges. This blog explores the major hurdles faced by investment managers and service providers and predicts where the industry is headed.

Five AI Principles That Transformed CENTRL's Business

CENTRL’s AI journey began in February 2023 and announced is first AI solution, CentrlGPT, soon after that. Now, more than a year in, we’ve completely transformed our platform. It’s been a journey we are proud of and want to share. Here are the five core principles that drove CENTRL’s AI strategy. These beliefs have served as the underpinning of every step we took and continue to guide our work.

Why Use Artificial Intelligence?

CENTRL’s AI journey was sparked by the advent of ChatGPT. Recognizing the transformative potential of LLMs, CENTRL’s leadership team embarked on a mission to research and understand how we could incorporate AI into our platform. Learn more about our journey to building best-in-class transformative AI powered diligence solutions for the Financial Services industry.

Ensuring Accuracy in AI-Driven Third Party Risk & Diligence

In the rapidly evolving world of financial services, risk management and diligence are more critical than ever. Learn how powerful generative AI tools can help navigate the complex landscape of regulatory compliance and counterparty risk.

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.

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

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

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.

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.

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.

The Connection Between Supply Chain Disruptions and Third-party Risk Management

Explore the connections between supply chain disruptions and third-party risk management.

Network Management – Moving Towards a Brave New World

Learn more about network management and check if network managers can be entrusted with monitoring cyber risks at their sub-custodians.

The 10 Common Types of Third-party Risk that Every Organization Should Know About

Learn more about the third-party risks affecting your organization, and how you can manage third-party risks with Vendor 360.

How to Develop a Vendor Risk Program

Find out more about Vendor Risk Management and why having an effective VRM program is important to protect companies against intrusions and incidents.

Best Practices for Investing in Due Diligence Software

Explore the benefits of due diligence technology and why it is invaluable in modern-day due diligence and investment workflows.

  • {index}
  • {title}

    {content}