Resources

ODD 3.0 marks a shift from periodic, questionnaire-driven reviews to a continuous, data-driven approach that reflects the dynamic nature of risk and rapidly changing information. By leveraging broader data sources and AI-powered platforms, firms can move from reactive assessments to proactive, real-time risk intelligence and oversight.

Broadridge has announced a strategic partnership and minority investment in CENTRL to modernize due diligence and RFP processes across the asset management and retirement industries. By combining Broadridge’s extensive data, analytics, and market infrastructure with CENTRL’s purpose-built AI technology, the partnership enables firms to streamline traditionally manual workflows, reduce duplication, and enhance accuracy and auditability.

Generic AI tools have accelerated productivity across enterprises, but they fall short in complex, regulated workflows that require accuracy, governance, and auditability. Purpose-built AI, designed around specific industries and workflows, enables organizations to move beyond task automation to deliver structured, compliant, and scalable decision intelligence.

The Answer Library is one of the most valuable yet underutilized assets. It is the firm's institutional memory. Yet, it is often one of the hardest resources to access. Learn how to turn your static repository into an intelligent, strategic assistant. Because your real competitive advantage isn’t just having the right answers. It’s making them usable, instantly, safely, and consistently across the organization.

The expectations placed on fund managers, compliance teams, and Boards continue to grow. But purpose-built AI solutions can enable firms to move beyond labor-intensive workflows toward automated, insight-driven oversight and reporting, transforming how sub-advisors are evaluated, how funds are managed, and how Boards engage with information, including throughout the 15c process.

A global investment manager expanded its use of CENTRL’s AI to move beyond digitized ODD workflows and materially compress diligence timelines, cutting review cycles by 40–50% while reducing manual analysis and reporting efforts by roughly half. At scale, these gains translate into nearly a full year of recovered capacity annually, allowing analysts to focus on judgment-driven oversight.

The SEC formally adopted amendments to Reg S-P in December 2025, and they will be enforceable for smaller covered entities starting June 3, 2026. The amendments have a profound impact on the requirements of asset managers and advisors, as they substantially expand expectations regarding how firms safeguard customer information, manage third parties, and document their compliance processes. Here's how AI can help you meet and maintain Reg S-P requirements.

AI has quickly become part of everyday workflows across asset management. For asset managers facing increasing diligence volume, tighter timelines, and heightened scrutiny, the difference between using AI and implementing a purpose-built AI solution is material. If you’re looking to drive efficiency without sacrificing accuracy, consistency, or control, purpose-built AI platforms like CENTRL’s Response360 are a necessity.

AI has moved from a speculative idea to a fundamental operational necessity. Today, the real source of alpha is operational leverage, utilizing intelligent automation to transform how data, workflows, and oversight operate across daily processes. This shift is already happening at scale. Firms that delay modernization risk locking in higher costs, slower decision-making, and a weaker client experience. Those who treat AI as core infrastructure, and not a side experiment, will define the next several years of industry leadership.

A global alternative investment firm leverages Response360 to achieve a 60–70% reduction in RFP and DDQ turnaround times by replacing its manual, fragmented process with a centralized, automated workflow powered by CENTRL’s answer library and Smart Response features. The shift eliminated copy-paste work, improved consistency and accuracy, and enabled scalable, repeatable processes for monthly, quarterly, and annual questionnaires, dramatically reducing SME fatigue and strengthening internal oversight.

A global venture capital firm implemented CENTRL’s Response360 to centralize and automate DDQ workflows, replacing manual Excel- and Word-based processes, reducing turnaround time by 80%, and increasing throughput by 3–4x by virtually eliminating manual work so the team could focus on higher-value strategic activities.

Investor expectations for speed, accuracy, and transparency are reshaping how alternative investment firms communicate and operate. AI is helping managers meet these demands by automating repetitive tasks like due diligence responses, enabling faster, more consistent, and data-driven communication. Success, however, will depend on domain-trained AI systems, disciplined data management, and strong human oversight to ensure accuracy, compliance, and trust.

A global alternative investment firm transformed its manual, fragmented RFP/DDQ process by adopting CENTRL’s agentic AI platform, Response360. By digitizing over 30 questionnaires, building a centralized Answer Library, and leveraging Smart Response for automated verbatim matching, the firm achieved 60–70% faster response times and greater consistency. The result was a scalable, audit-ready workflow that reduced SME fatigue and improved visibility across the organization.

A US-Based Investment Firm achieved an 80% increase in efficiency across underwriting and reporting functions, transforming previously manual workflows into automated, streamlined processes. Turnaround times were reduced from days to hours, enabling faster decision-making and improved responsiveness to stakeholders.

October's NY Alternative Investment Roundtable brought together leading allocators, managers, and innovators to discuss one of the most consequential shifts in investment management today: how artificial intelligence is transforming due diligence and manager selection. During this panel discussion, we explored how investors are evolving in an AI-augmented future. Read more about the key takeaways from the event.

Large financial services firm leverages Response360 to design and implement custom workflows that streamline their internal review and compliance requirements, resulting in improved collaboration and greater accuracy.

Firms have long relied on legacy content management systems that promised efficiency but fell short of supporting the complexity and collaboration required in modern due diligence and client response workflows. True transformation comes not just from adopting AI-powered automation, but from rethinking how teams capture, maintain, and share institutional knowledge across functions.

The world of investment management is changing faster than ever. Investor expectations are rising, regulations are tightening, and asset managers are diversifying across strategies, geographies, and vehicles. In this evolving landscape, one question looms large: will traditional DDQs survive the AI revolution?

The 2025 GAIM Ops West agenda was packed with conversations about AI and its impact on the investment management industry. The driving message? AI is no longer a futuristic concept; it has become a strategic imperative across the investment office. Here are our key takeaways from this year’s conference.

This webinar examines how AI is transforming communication between managers and clients, particularly in alternative and private asset management, where delivering direct, personalized insights is essential. AI not only reduces costs and enhances efficiency but also drives growth and improves ROI.

CENTRL launched its new AI-powered Guided Report Builder and Interactive Research Assistant, designed to transform due diligence data into actionable intelligence for faster, more informed decision-making. The release enables firms to uncover trends, detect anomalies, compare managers, and generate board-ready reports and executive summaries with ease. By centralizing data and delivering real-time insights, CENTRL equips investment, risk, and compliance teams to collaborate more effectively, scale efficiently, and enhance oversight.