Updates to Pega CLM and KYC business pillars

Pega Client Lifecycle Management and Know Your Customer™ helps financial institutions save time during client onboarding, review, and due diligence operations, while simplifying and streamlining the back-office operations around those customer journeys. Pega CLM & KYS continues to evolve as financial institutions face increasing regulatory demands while seeking to improve operational efficiency and customer experience.

Pega CLM 25.1 represents a significant advancement in helping financial institutions navigate these challenges, through two strategic business pillars that address both immediate operational needs and future-ready features.

The first pillar, Enhance Existing Features, aims to improve the foundation that financial institutions use for compliance and risk management. Central to this is the management of related-party data. The approach involves updating party data management processes, which allows for more efficient maintenance and minimizes duplication. This change addresses challenges in maintaining party data across multiple relationships or journeys by implementing event-driven reviews that occur only when there are material changes in data, thereby helping you to allocate resources appropriately. The system incorporates controls to preserve data integrity, prevent conflicts, and update Cases consistently, temporarily locking related Cases during updates to maintain accuracy and reduce errors. Additionally, the system enables due diligence to proceed with partial related party data, which can expedite the onboarding process.

Ongoing screening features are transformed through a new process that ingests ongoing screening data and intelligently initiates appropriate event-driven reviews when material changes occur. This triggers a chain reaction: altering one party leads to further reviews of related parties that are considered KYC-significant, providing thorough risk oversight while preserving operational efficiency and preventing data conflicts during updates.

The new Rules Configuration Hub streamlines the management of CLM and KYC rules for institutions by categorizing them into clear, functional groups. This organized structure reduces the complexity associated with navigating large numbers of rules, offering multi-tiered groupings that enable teams to efficiently locate specific requirements, supported by integrated enablement content to expedite implementation and minimize configuration time.

The Agentic AI Coach constitutes a significant enhancement in regulatory guidance, acting as an intelligent decision support system that guides analysts through complex due diligence requirements. For example, the Agentic AI Coach doesn't just provide information, it actively determines the fastest path to meet regulatory requirements while minimizing document requests from clients. It generates clear, regulation-tied summaries explaining why specific documents are required and can even draft RFIs for missing documentation, transforming regulatory compliance from a complex maze into a guided journey.

Moody's integration, through the CLM Self-Service Hub, brings unprecedented entity verification tools directly into the CLM workflow, providing access to real-time entity data from over 200 countries and curated information on more than 570 million companies. This integration automatically maps data and satisfies documentary requirements while providing comprehensive risk databases covering adverse media, sanctions, watchlists, and PEPs. The result is faster, more accurate entity verification that reduces manual research and improves compliance confidence.

You have reached the end of this video.

Now watch the second video, to learn more about what's new in CLM 25.1:

The second pillar, Step into the Future, positions financial institutions for tomorrow's operational landscape through constellation-ready features and advanced AI integration. The Self-Service Hub fundamentally reimagines customer onboarding by empowering customers with intuitive self-service tools that reduce onboarding cycle times while improving satisfaction. This hub automates the intake of customer data, documents, and party information, accelerating compliance readiness while reducing manual errors. By delegating complex due diligence to the back office, institutions can scale their operations while maintaining regulatory integrity, and customers can respond directly to ad-hoc RFIs through the portal, enhancing transparency and dramatically reducing turnaround times.

Constellation-ready front journeys designed for retail and SMB self-onboarding facilitate customer acquisition through the Self-Service Hub, delivering user experiences that meet contemporary standards for digital-first engagement. These journeys are fully integrated with back-office operations through Pega’s Workflow Automation capabilities and encompass all features required to ensure regulatory compliance.

The advancement in CLM Pega GenAI features introduces intelligent document processing (IDP), which reduces mistakes through automated document validation and data extraction. The system can identify and categorize provided documents and automatically extract relevant data while mapping it to appropriate fields and linking documents to their respective requirements. Additionally, the new Pega GenAI Risk Overview provides instant understanding of customer risk by summarizing each risk factor considered in overall party risk calculations, relevant information from KYC questionnaires, and the evolution of a party's risk history over time.

Collectively, these two pillars ensure that CLM 25.1 addresses both current compliance and operational requirements while enabling financial institutions to adapt effectively for the future. By integrating advanced capabilities with forward-thinking innovations, the CLM application supports institutional growth and provides direct operational advantages.

In addition to the two business pillars addressed, this release includes various technical updates aimed at improving the application’s performance, especially for large-scale deployments. Audit and case data archiving strategies have been updated, resulting in more modular, extensible, and scalable architecture. Institutions have options to customize archiving logic according to operational requirements, with the goal of archiving relevant Cases and optimizing storage and retrieval.

You have reached the end of the video.

Check your knowledge with the following interaction: