Transforming Compliance from Cost Centre to Value Creator with AI

Manual Process vs AI

In the fast-paced world of financial services, regulatory compliance emerges as a formidable challenge, often viewed through the lens of necessity rather than strategic opportunity.

With the burden of managing thousands of regulatory publications, regulatory inquiries, and regulatory reporting requirements, firms find themselves mired in a complex web of manual tasks that are both time-consuming and costly.

The advent of Artificial Intelligence (AI) in compliance management, particularly through solutions like FinregE’s AI, is setting the stage for a transformative shift. This blog delves into the tangible benefits of integrating AI into compliance workflows, presenting a compelling case for FinregE’s ability to not only streamline operations but also unlock new avenues for growth and innovation.

Through detailed comparisons of manual processes versus AI-enhanced workflows, we’ll illuminate how FinregE AI is not just an efficiency tool, but a strategic asset poised to redefine the compliance landscape. We explore how leveraging AI technology can transform compliance from a burdensome cost centre into a dynamic value creator, setting new benchmarks for operational excellence in the financial services industry.

Enhancing Compliance Efficiency: A Comparative Analysis of Manual vs. FinregE AI Processes

As we navigate through the complexities of regulatory compliance, the stark contrast between traditional manual processes and the efficiencies brought by FinregE AI becomes increasingly evident. The subsequent section offers a detailed examination of specific compliance tasks, comparing the traditional manual approach against the streamlined, AI-enhanced methodologies offered by FinregE. This comparison not only highlights the substantial time savings and accuracy improvements but also underscores the transformative potential of AI in redefining compliance management strategies. By quantifying the impact of FinregE AI across various compliance functions, we aim to provide a clear, data-driven perspective on how AI is reshaping the landscape, offering financial institutions a path to not just compliance, but competitive advantage.

Manual Process vs AI

Horizon Scanning : Reviewing Publications for Regulatory Impact:

Manual Task: Monthly review of over ~1,000 news items and regulatory publications on average.

Manual Time Estimate: At approximately 30 minutes per publication, this requires about 500 hours monthly.

With FinregE AI: AI can drastically reduce the time needed by automatically identifying relevant publications based on past actions and automated regulatory profiling based on regulated activities, customer types, business lines and regulatory permission, cutting down the review time to 5 minutes per publication, totalling around 83 hours monthly.

Detailed Assessment for Regulatory Implications:

Manual Task: Detailed assessments on more than 500 publications.

Manual Time Estimate: Taking up to 2 hours per publication, this task demands about 1000 hours monthly.

With FinregE AI: AI’s capability to perform detailed content analysis can reduce assessment time to 30 minutes per publication, amounting to 250 hours monthly.

Compliance Monitoring Tasks:

Manual Task: Over 75 compliance monitoring tasks quarterly.

Manual Time Estimate: With each task taking roughly 4 hours, this adds up to 300 hours per quarter or 100 hours monthly.

With FinregE AI: AI automation can streamline these tasks, reducing the time to 1 hour per task, resulting in 25 hours monthly.

Handling Regulatory Inquiries:

Manual Task: Responding to 4-6 regulatory inquiries monthly.

Manual Time Estimate: Assuming 10 hours per inquiry, this equals 40-60 hours monthly.

With FinregE AI: AI tools can assist in quickly gathering required information and drafting responses, decreasing time to 2 hours per inquiry, or 8-12 hours monthly.

Regulatory Reports and Board Updates:

Manual Task: Preparing 10 regulatory reports quarterly and monthly board updates.

Manual Time Estimate: Report preparation and submission take about 8 hours each, totaling 40 hours monthly for reports, plus 5 hours for each board update, summing to 45 hours monthly.

With FinregE AI: AI can automate data collection and report drafting, reducing preparation time to 2 hours per report (10 hours monthly) and 2 hours per board update, lowering the monthly total to 12 hours.

Revised Monthly Time Estimates:

Manual Processes: Approximately 1700 hours per month.

With FinregE AI:

  • Review and Assessment of Publications: Reduced to 333 hours.
  • Compliance Monitoring: Down to 25 hours.
  • Regulatory Inquiries: Decreased to 8-12 hours.
  • Regulatory Reports/Board Updates: Cut to 12 hours monthly.

 

Assessment of Publication Impact (Proposals, Requirements, Impact, Actions Required):

Manual Task: Assessing how new regulations affect the institution (Approx 2 new regulations per month).

Manual Time Estimate: Approximately 5 hours per publication, given the need for thorough analysis. This totals upto 10 hrs per month.

With FinregE AI: AI reduces this time to 1 hour per publication (2 hours monthly) by quickly identifying relevant impacts and required actions.

Understanding Impact on Existing Policies, Procedures, and Controls:

Manual Task: Analyzing how new regulations impact current practices.

Manual Time Estimate: This detailed review could take up to 4 hours per publication.

With FinregE AI: AI technology cuts this down to 1 hour by efficiently cross-referencing existing documents and identifying discrepancies.

Updating Wording of Policies, Controls, and Processes:

Manual Task: Revising documents to reflect regulatory changes.

Manual Time Estimate: Depending on the scope, updating documents can take 8 hours per set of policies/controls.

With FinregE AI: AI assistance streamlines this process to 2 hours by suggesting precise language changes.

Implementing New Policies, Procedures, and Controls:

Manual Task: Creating and instituting new compliance measures.

Manual Time Estimate: Developing new policies from scratch typically requires 10 hours per policy.

With FinregE AI: AI can help draft these documents, reducing creation time to 3 hours per policy.

Regulatory Traceability and Gap Analysis:

Manual Task: Comparing current policies against new regulations to find gaps.

Manual Time Estimate: Conducting a thorough gap analysis can take up to 12 hours per regulation.

With FinregE AI: AI significantly speeds up this process to 2 hours by automatically identifying gaps.

Completing Gaps by Updating Policies, Procedures, and Controls:

Manual Task: Adjusting existing policies to fill regulatory gaps.

Manual Time Estimate: This task can take about 8 hours per gap identified.

With FinregE AI: With AI’s automated suggestions, this time is reduced to 2 hours per gap.

Revised Additional Tasks Estimates:

Manual Processes:

  • Assessment and Understanding Impact: 9 hours per publication.
  • Updating and Implementing Policies: 18 hours per policy/control.
  • Gap Analysis and Completion: 20 hours per regulation.

With FinregE AI:

  • Assessment and Understanding Impact: Reduced to 2 hours per publication.
  • Updating and Implementing Policies: Cut down to 5 hours per policy/control.
  • Gap Analysis and Completion: Decreased to 4 hours per regulation.

These additional tasks further underscore the labor-intensive nature of compliance work and the transformative potential of AI technologies like FinregE. By leveraging AI, financial institutions can achieve substantial reductions in time and effort required for compliance activities, allowing for a more strategic allocation of resources and enhancing overall operational efficiency.

Book a demo today and find out how FinregE’s AI RIG can help you in help minimizing non-compliance risks, promote efficiency, and ensure long-term compliance success.

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