The pressure on corporate and institutional banks to adopt digital transformation is mounting, driven by client demands for faster and more personalized services.
According to Encompass, a key component of this transformation is enhancing Client Lifecycle Management (CLM) systems. These systems are crucial as they provide a structured framework to manage corporate clients, aiming to boost efficiency and consistency throughout the client journey, ultimately leading to a smoother and more satisfactory client experience.
However, transforming the client lifecycle is no small feat. It typically involves a complex, multi-year process that requires substantial investment and a timeframe of three to five years to plan, migrate, and implement.
While CLM platforms are effective at overseeing critical lifecycle processes, they often fall short in covering specialized functions comprehensively. This results in the necessity for further measures to achieve true end-to-end automation—especially in crucial areas such as Know Your Customer (KYC) processes.
Often relegated to a secondary phase, KYC is vital for compliance and risk management but its delay can diminish the effectiveness and efficiency of the entire CLM transformation.
A significant barrier to fully leveraging CLM technology is the inadequate data infrastructure. A robust data strategy that incorporates both external and internal data is essential. Despite this, manual processes for data collection often persist, extending the duration of client onboarding and introducing multiple risks:
Delays: Manual document collection and verification slow down the onboarding process, frustrating clients who expect swift, digital-first experiences.
Compliance Risks: Human error in data handling and outdated or incomplete data increase non-compliance risks with KYC and Anti-Money Laundering (AML) regulations.
Operational Strain: Manual processes overload teams, shifting their focus from strategic tasks and often leading to disjointed and inefficient operations.
Sustaining Project Momentum
These challenges can delay the realization of CLM benefits, placing additional pressure on project champions and finance teams, and risking the derailment of the project as fatigue sets in and makeshift solutions become the norm.
To counter these risks and accelerate progress, banks are increasingly turning to solutions like Corporate Digital Identity (CDI). Integrating CDI within the CLM framework offers a strategic way to secure and scale the transformation process, aligning with long-term goals.
CDI provides a comprehensive view of a corporate entity by centralizing information gathered during the KYC processes. It automates identity verification and validation during onboarding, cutting down onboarding times, ensuring compliance from the start, and enabling easy integration of digitized outputs to downstream systems.
By reducing the need for manual client interactions and repetitive document submissions, CDI captures information once and utilizes it across various processes. It maintains a clear and auditable lineage to each data attribute, laying a solid foundation for advanced KYC and CLM functionalities by leveraging trusted sources for consistent and validated data.
As technologies like AI and Machine Learning evolve, they will enhance the data-processing capabilities of CDI, enabling banks to maintain agility in response to regulatory or operational changes. CDI also streamlines the maintenance of external KYC data connections by providing a single access point to these sources through a unified API.
By automating essential tasks, reducing manual interventions, and enhancing compliance, CDI rapidly demonstrates its value, often within the first year of implementation. This strategic approach not only de-risks but also accelerates the realization of CLM benefits throughout the project lifecycle.
Copyright © 2025 RegTech Analyst
Copyright © 2018 RegTech Analyst
