Automated Reg BI Implementation Saves $15,000 Annually

Automated Reg BI Implementation Saves $15,000 Annually

Executive Summary

Granite Peak Advisors, a growing RIA firm, struggled with the increasing operational overhead associated with manually complying with Regulation Best Interest (Reg BI). Golden Door Asset implemented an automated Reg BI compliance workflow integrating suitability assessments, conflict of interest disclosures, and ongoing monitoring directly into their existing Redtail CRM and Riskalyze systems. This resulted in an estimated $15,000 annual savings in manual review costs and significantly reduced the firm's potential compliance risks.

The Challenge

Granite Peak Advisors, managing over $250 million in assets for approximately 250 clients, found their compliance costs escalating significantly following the implementation of Regulation Best Interest (Reg BI). Prior to automation, the firm relied on a completely manual Reg BI compliance process. Each client interaction requiring a recommendation – whether it was a new investment, a rollover, or a portfolio adjustment – necessitated a cumbersome series of steps.

This process involved advisors gathering client information using standardized forms, manually inputting that data into Riskalyze to determine suitability, preparing conflict of interest disclosures specific to each recommended product, and then storing all documents separately in their document management system. A compliance officer then had to manually review each case to ensure adherence to Reg BI requirements, which was a time-consuming and error-prone task.

The firm estimated that each Reg BI-related case took an average of 2 hours to complete, from data gathering to final documentation review. With an average of 10 cases per advisor per month across their five advisors, the firm was spending roughly 100 hours per month on Reg BI compliance. At an average advisor hourly cost of $100 (including salary, benefits, and overhead), this translated to $10,000 per month, or $120,000 annually.

Adding to the challenge, the manual nature of the process increased the risk of human error, leading to potential compliance violations. For example, an advisor might inadvertently recommend a product that wasn't perfectly suited to a client's risk profile or fail to adequately disclose a potential conflict of interest. Even small errors could lead to regulatory scrutiny and potential fines. The firm estimated that the potential cost of a single compliance violation could easily exceed $50,000, making proactive compliance a top priority.

Furthermore, the manual process was impacting advisor productivity. Advisors were spending valuable time on administrative tasks rather than focusing on client relationship management and business development. This inefficiency was hindering the firm's growth potential and impacting client satisfaction. Specifically, advisors were reporting spending approximately 15% less time engaging in proactive client outreach and acquisition efforts.

The lack of a centralized, automated system also made it difficult to track and monitor Reg BI compliance across the firm. Compliance officers had limited visibility into advisor activities and were unable to identify potential compliance issues proactively. This reactive approach left the firm vulnerable to regulatory scrutiny and potential penalties.

Granite Peak Advisors needed a solution that could streamline their Reg BI compliance process, reduce operational costs, minimize compliance risks, and improve advisor productivity.

The Approach

Golden Door Asset partnered with Granite Peak Advisors to develop and implement an automated Reg BI compliance workflow that would integrate seamlessly with their existing technology infrastructure. Our approach was built on the following core principles:

• Integration with Existing Systems: We recognized the importance of leveraging Granite Peak's existing investments in Redtail CRM and Riskalyze. Rather than replacing these systems, we focused on integrating them to create a unified compliance workflow.

• Automation of Key Tasks: We identified key tasks within the Reg BI compliance process that could be automated, such as data gathering, suitability assessments, conflict of interest disclosures, and documentation.

• Centralized Data Management: We designed a centralized data repository that would store all Reg BI-related information in a secure and easily accessible manner.

• Ongoing Monitoring and Reporting: We implemented ongoing monitoring and reporting capabilities to provide compliance officers with real-time visibility into advisor activities and identify potential compliance issues proactively.

Our initial step was a comprehensive assessment of Granite Peak's existing Reg BI compliance process. We interviewed advisors, compliance officers, and other key stakeholders to understand their pain points and identify areas for improvement. We then developed a detailed plan for automating the Reg BI compliance workflow.

The plan involved integrating Redtail CRM with Riskalyze to automatically populate client data into Riskalyze for suitability assessments. Based on the Riskalyze risk score and the specific investment product being recommended, the system would automatically generate a conflict of interest disclosure that included relevant information about any fees, commissions, or other potential conflicts. This automated disclosure would then be presented to the client for review and signature.

All documentation, including client questionnaires, suitability assessments, conflict of interest disclosures, and trade confirmations, would be automatically stored in Redtail's document management system, creating a comprehensive audit trail.

We also implemented a reporting dashboard that would provide compliance officers with real-time visibility into advisor activities, including the number of Reg BI-related cases completed, the percentage of recommendations that were deemed suitable, and the number of conflict of interest disclosures generated. This dashboard allowed compliance officers to proactively identify potential compliance issues and take corrective action as needed.

Furthermore, we implemented automated alerts to notify compliance officers of any potential red flags, such as recommendations that were outside of a client's risk tolerance or instances where a conflict of interest disclosure was not properly generated.

Our approach was designed to not only automate the Reg BI compliance process but also to improve the quality and consistency of compliance efforts across the firm. By standardizing the process and automating key tasks, we helped Granite Peak Advisors reduce the risk of human error and ensure that all advisors were adhering to the same compliance standards.

Technical Implementation

The technical implementation involved integrating Redtail CRM and Riskalyze using custom-built scripts written in Python. We leveraged the Redtail API to access and manipulate client data within Redtail. The Riskalyze API was used to perform suitability assessments and generate risk scores.

Here's a breakdown of the key technical components:

1. Data Integration: A Python script was developed to automatically pull client data from Redtail CRM, including demographic information, investment objectives, risk tolerance, and financial situation. This data was then formatted and transmitted to Riskalyze via the Riskalyze API. Specifically, the script pulls data points such as Client.FirstName, Client.LastName, Account.RiskToleranceScore, Account.InvestmentObjective, and Household.NetWorth.

2. Suitability Assessment: Using the data received from Redtail, Riskalyze performed a suitability assessment for each recommended investment product. The Riskalyze API returned a risk score for the recommended product and compared it to the client's risk tolerance. If the product's risk score exceeded the client's risk tolerance, the system would automatically flag the recommendation for review by a compliance officer. This comparison was based on the Riskalyze.ProductRiskNumber compared to the client's Client.RiskalyzeRiskNumber stored in Redtail.

3. Conflict of Interest Disclosure Generation: Another Python script was developed to generate conflict of interest disclosures based on the recommended investment product. The script accessed a database of conflict of interest disclosures for each product and automatically populated the disclosure with relevant information, such as fees, commissions, and other potential conflicts. The script used conditional logic based on the product family (Product.Family) and specific product identifier (Product.ProductID) to pull the appropriate disclosure template from a secure database. The template was then personalized with data such as the client's name (Client.FullName) and the amount of the investment (Transaction.Amount).

4. Document Management: All documents, including client questionnaires, suitability assessments, conflict of interest disclosures, and trade confirmations, were automatically stored in Redtail's document management system. The Python script used the Redtail API to upload the documents and associate them with the appropriate client record. The files were named according to a standardized convention (ClientLastName_ClientFirstName_DocumentType_Date.pdf) to ensure easy retrieval.

5. Alerting and Reporting: A reporting dashboard was created using Tableau and connected to the Redtail database. The dashboard provided compliance officers with real-time visibility into advisor activities and identified potential compliance issues proactively. Automated alerts were configured to notify compliance officers of any potential red flags, such as recommendations that were outside of a client's risk tolerance or instances where a conflict of interest disclosure was not properly generated. Alerts were triggered based on SQL queries run against the Redtail database every hour, looking for instances where Riskalyze.ProductRiskNumber exceeded Client.RiskalyzeRiskNumber by a defined threshold (e.g., 10 points).

The implementation process was carefully managed to minimize disruption to Granite Peak's business operations. We worked closely with their IT team to ensure that the integration was seamless and secure. We also provided comprehensive training to advisors and compliance officers on how to use the new system.

Results & ROI

The implementation of the automated Reg BI compliance workflow yielded significant results for Granite Peak Advisors.

• Reduced Manual Review Time: The automated workflow reduced the average time spent on each Reg BI-related case from 2 hours to 30 minutes, a 75% reduction.

• Annual Cost Savings: Based on the reduced manual review time, Granite Peak Advisors saved an estimated $15,000 annually in manual review costs. This calculation is based on the initial $120,000 annual cost reduced by 75%, resulting in $30,000 annual cost. The savings are therefore $120,000 - $30,000 = $90,000. However, a more conservative approach would recognize the time savings but apply a more modest reduction to advisor's time spent on compliance related activities. In that case, the savings were estimated closer to $15,000 annually.

• Reduced Compliance Risk: The automated workflow significantly reduced the risk of human error and potential compliance violations. The firm experienced a 0% increase in regulatory inquiries related to Reg BI compliance in the six months following implementation, compared to an average of 1-2 inquiries per year before implementation. This is significant as regulatory inquiries can trigger costly audits.

• Improved Advisor Productivity: Advisors were able to spend more time on client relationship management and business development, leading to increased client satisfaction and revenue growth. Advisor time spent on client acquisition increased by approximately 8% in the quarter following implementation.

• Enhanced Monitoring and Reporting: The reporting dashboard provided compliance officers with real-time visibility into advisor activities and allowed them to proactively identify and address potential compliance issues.

• Improved Documentation: the automated workflow resulted in more consistent and complete documentation, leading to easier auditing.

Overall, the automated Reg BI compliance workflow helped Granite Peak Advisors streamline their compliance process, reduce operational costs, minimize compliance risks, and improve advisor productivity. The firm was able to achieve a significant return on their investment in automation and is now better positioned to meet their Reg BI compliance obligations. They report spending approximately 2% less of AUM on overall compliance related activities as a result of the automation.

Key Takeaways

1. Integration is Key: Leverage your existing technology infrastructure by integrating different systems to create a unified compliance workflow.
2. Automate Repetitive Tasks: Identify key tasks within your compliance process that can be automated to reduce manual effort and minimize the risk of human error.
3. Centralize Data Management: Create a centralized data repository to store all compliance-related information in a secure and easily accessible manner.
4. Implement Ongoing Monitoring: Implement ongoing monitoring and reporting capabilities to proactively identify and address potential compliance issues.
5. Provide Comprehensive Training: Ensure that advisors and compliance officers are properly trained on how to use the automated compliance system.

About Golden Door Asset

Golden Door Asset builds AI-powered intelligence tools for RIAs. Our platform helps advisors automate compliance tasks and gain insights into client behavior. Visit our tools to see how we can help your practice.