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Compliance Transformation: Conditions Are Right for Action

Key Message: Now is an opportune time for financial institutions (FIs) to undertake Compliance Transformation to improve effectiveness and efficiency, leveraging advancements in AI and tailored strategies.

Context:

• Historically, reducing compliance costs through regulation avoidance was difficult. Anticipated lower regulatory pressure and profit expectations now risk budget cuts that compromise compliance programs.
• Challenges: generic top-down cost-cutting ignores compliance nuances and regulator expectations, increasing risk over time. Many opportunities for efficiency lie in inefficiencies known, but unsurfaced, processes.
• Opportunities: Huge volume (~60%) of compliance work is process-driven and potentially ripe for transformation (e.g., LRR mapping, investigations, monitoring). AI advancements offer new capabilities.

Oliver Wyman Process-Driven Approach vs. Traditional Redundancy (Exhibit 1):

Oliver Wyman's Process-Driven Approach:

• Core: A process-forward methodology focusing on simplification and connectivity.
• Actions: Combine standard process redesign with new levers (e.g., Generative AI with "human-in-the-loop" safeguards).
• Key Steps:
  1. Identify Opportunities: Rapid employee surveys & workshops to surface inefficiencies (15%-25% of time estimated).
  2. Align Opportunities (Using MOO Analysis / Exhibit 2): Assess suitable levers (e.g., AI, workflow automation) for efficiency and effectiveness, considering impact, cost, risk, and multiplier potential.
  3. Develop Plan: Prioritize and sequence opportunities using workshops; plan may front-load benefits for budgeting. Communicate effectively internally and externally.
• Benefits Outcome: Potential for 25-50% reduction in resource requirements for affected processes (~$15-30% overall budget reduction), enabling faster scaling with business growth, reducing headcount needs, and increasing risk coverage.

Transformation Examples (Exhibit 3-5):

• Regulatory Inventory Management: Use AI to bundle/ map obligations, improving update speed and accuracy.
• Risk Assessments: Align and consolidate multiple assessments, potentially using common taxonomies, data, and technology.
• Compliance Testing: Automate document verification with AI ("human-in-the-loop"), increasing testing coverage and uncovering new risks faster.
• Data Aggregation and Reporting: Centralize routine, heavily-judgment-free processes into near-shore managed services for cost savings.

Expected Impact & Timing:

• Time敏感: The changing economic environment may expedite transformation to meet potential unilateral cost-cutting demands.
• AI使用: Expect a "human-in-the-loop" collaborative approach with AI for the near term.
• Goal: Substantial transformation (leaner, more effective risk management) achievable in 1-2 years, preferable before potential future regulatory pressures.

Conclusion: Despite cost pressures, the right conditions exist to initiate or accelerate strategic Compliance Transformation, enabled by Oliver Wyman's process-focused, AI-aware methodology, to achieve significant efficiencies and maintain program robustness.