Automating the Extraction of Key Parameters for Risk Factor Calculation

The client employs a proprietary tool designed to calculate risk factors for investment funds, producing recommendations based on over 80 distinct parameters derived from fund documentation issued by leading financial institutions, such as Fidelity, JPMC, and others. Historically, the process of extracting these parameters has been manual, requiring analysts to meticulously review fund documents—often exceeding hundreds of pages—and input the data into the tool. This manual workflow consumed considerable time, typically 6-8 hours per document, and was susceptible to human error and delays, increasing the potential for compliance risks and inaccuracies. The client recognized the urgency of addressing these inefficiencies while maintaining the precision and reliability critical to their operations.

Accellor developed an advanced AI-driven solution to automate the extraction, structuring, and validation of the parameters essential for the client’s proprietary risk assessment tool. The system enables users to upload fund documents—typically in PDF format—directly into the platform. The AI solution systematically processes these documents, accurately identifying and extracting relevant parameters.  

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To ensure precision, an internal reward agent validates the extracted parameters. In cases where the data is deemed inconsistent or inaccurate, the process iterates until validation is achieved. The system then provides the user with both the extracted parameters and references to their corresponding source documents. This allows users to review and cross-verify the data before uploading it into the primary calculation tool. By integrating human oversight into the workflow, the solution achieves a balanced "human-in-the-loop" approach that combines AI efficiency with manual validation.

• Dramatically Reduced Processing Time: Parameter extraction was reduced from 6-8 hours per document to approximately 5 minutes, accelerating the overall risk calculation process.  

• Enhanced Accuracy: Automation minimized the potential for manual errors, and the internal reward agent ensured a high degree of confidence in the accuracy of the extracted data.  

• Improved Compliance: The inclusion of traceable references for each parameter provided transparency and ensured adherence to regulatory standards.  

• Human-Machine Collaboration: The human-in-loop design maintained essential oversight, blending the strengths of AI with human expertise to achieve optimal outcomes.

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By addressing the inefficiencies and risks inherent to the manual process, Accellor's sophisticated solution enabled the client to improve operational efficiency, enhance accuracy, and ensure robust compliance, thereby reinforcing its position as a leader in the financial services sector.

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