How A Leading U.S. Precious Metals Investment Firm Achieved Annual Savings of More Than $200K Through AI-Powered Compliance Automation
Industry
Fintech
Customer Background
A leading U.S. precious metals investment firm helps clients diversify and safeguard wealth through gold and silver. As part of its operations, BirchGold complies with strict industry regulations that require recording and verifying thousands of customer voice confirmations every month.
Challenges
Manual verification of customer voice confirmations was slowing onboarding and driving up costs, while inconsistent accuracy across accents and audio quality increased errors and rework. Incomplete confirmations created compliance and audit risks, compounded by unstructured data that was difficult to track or verify.
- Manual Compliance Verification Was Slowing Operations
Verifying thousands of customer voice confirmations manually was time-consuming, labor-intensive, and prone to delays. This was creating bottlenecks in customer onboarding and increasing operational costs.
- Inconsistent Accuracy Across Accents and Audio Quality
Variations in accents, call clarity, and recording conditions led to inconsistent transcription results, increasing the risk of errors and rework.
- High Compliance Risk from Incomplete Confirmations
Missing mandatory responses in Cash Voice Confirmation scripts exposed the business to regulatory risk and audit failures.
- Lack of Structured, Auditable Compliance Data
Compliance data was unstructured and difficult to track, making audits, reporting, and historical verification inefficient.
- Limited Scalability and No Real-Time Oversight
The absence of centralized dashboards and real-time insights made it difficult to scale operations or proactively address compliance issues.
The Solution
Sigma Solve automated the entire verification workflow by combining AI-driven transcription, purchase-order cross-checks, and rule-based compliance logic, which dramatically reduced turnaround time and manual effort.
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- We deployed Whisper AI in a secure Azure VM environment, delivering transcription accuracy, even in challenging audio conditions.
- We implemented an automated compliance logic layer that validates every recording, ensuring the presence of all required script elements, including a minimum of eight verified “YES” responses, before approval.
- We integrated AI outputs directly into Salesforce via JSON-based workflows, enabling real-time dashboards, severity-based error classification, and automated alerts for immediate action.
The Outcome
Automation cut compliance verification turnaround to fully auditable workflows.
With 650+ man-hours saved monthly, proactive severity-based alerts, and a scalable design, the solution reduced costs by $200K+ annually while supporting future call volume growth.
- Compliance verification turnaround improved by 65% due to automation.
- Transcription accuracy reached 93%+ with auditable workflows.
- Over 650 man-hours of manual labor saved per month, leading to annual savings of more than $200K.
- Scalable design that supports future call volume growth.
- Proactive issue detection via severity-based alerts ensured timely compliance action.
Project Highlights
A leading U.S. metals investment firm, which helps clients diversify and safeguard wealth, was having trouble with manual verification of customer voice confirmations
They also faced inconsistent accuracy across accents and audio quality
Sigma Solve automated the entire verification workflow, deployed Whisper AI in a secure Azure VM environment, delivering transcription accuracy
Compliance verification turnaround improved by 65%
Transcription accuracy reached 93%+
Over 650 man-hours of manual labor saved per month
Annual savings of more than $200K.
Scalable design
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