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Home » Reasons for the Failure of Manual Regulatory Lifecycle Management
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Reasons for the Failure of Manual Regulatory Lifecycle Management

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Addressing Compliance Change Processes in Financial Institutions

Traditional compliance change processes are becoming a significant business risk for financial institutions. Recent reports indicate that up to 70% of compliance teams’ time is spent monitoring, assessing, and implementing a constant stream of regulatory updates. As a result, organizations often find it challenging to keep pace with changing requirements, placing them at risk of non-compliance.

The Challenges of Prolonged Change Processes

According to AscentAI, it can take as long as eight weeks to navigate a single regulatory change from initial review to implementation. This lengthy timeline is problematic because regulatory updates continue to emerge while teams are busy handling backlogs. Consequently, financial institutions may struggle with outdated interpretations and inconsistent internal guidelines, leading to potentially severe gaps in compliance during audits or supervisory missions.

The Manual Workflow Dilemma

At the core of this challenge lies a predominantly manual end-to-end workflow. Compliance teams must painstakingly review new regulations, isolate pertinent information, assess the impact on various business units, and ensure that internal GRC policies and controls are updated accordingly. This process becomes even more cumbersome in the face of constant regulatory changes, creating an operational strain that many organizations cannot afford.

A Streamlined Approach to the Regulatory Lifecycle

A more effective and resilient approach involves treating the regulatory lifecycle as three interconnected phases that can be enhanced through technology. By focusing on speed, accuracy, and consistency, organizations can ensure that compliance decisions are easily traceable and implemented uniformly across the enterprise.

Phase One: Mastering Regulatory Information

The first phase focuses on managing the overwhelming influx of regulatory information. Regulators communicate their priorities not only through rule updates but also via advice, speeches, and other supervisory communications. While these documents are critical for audit preparedness, they can easily divert teams’ attention from significant changes. Automated foresight tools can help streamline this phase by continuously scanning for relevant updates, filtering out noise, and directing pertinent information to the appropriate stakeholders.

Phase Two: Efficiently Managing Obligations

The second phase involves the critical task of digesting updated regulations, identifying applicable obligations, and reflecting these changes within internal frameworks. Given that final rules often span tens of thousands of pages, manual reviews can be slow, costly, and prone to errors. AI-driven automation is emerging as a solution to facilitate large-scale text analysis, summarizing updates, and extracting relevant obligations, allowing compliance professionals to focus on strategic decisions rather than document management.

Phase Three: Integrating with GRC Workflows

The final phase is the seamless integration of change management automation with Governance, Risk, and Compliance (GRC) workflows. By connecting these elements, the preliminary analysis and enrichment can automatically update policies and controls. Over time, this creates a consistently updated source of truth for compliance, enabling uniformity across the organization and enhancing command and control throughout the regulatory lifecycle.

As financial institutions navigate an increasingly complex regulatory environment, leveraging technology to streamline compliance change processes is not just innovative—it’s necessary. By adopting a structured, automated approach to compliance, organizations can significantly mitigate risks and enhance their operational efficiency.

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