Assisting CFOs with Financial Predictions Using GenAI and NLP.

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Operational Assistance and Augmentation
Emulating human-judgment-based decisions in operations through AI, particularly generative AI.
Company: Financial Services Company | Location: US
Technology: GenAI, Azure Cognitive Services, Power Automate, Azure AI, Azure DW Analytics

Project Background

A Fortune 500 financial enterprise sought to leverage Generative AI to empower their CFO with more dynamic, real-time financial insights and optimize funds management. While their existing analytical engine delivered accurate predictions, it lacked the flexibility and dynamic reporting capabilities that Generative AI could provide.

Challenge

  • The need for a virtual assistant to support dynamic reporting and predictive, real-time data analytics for better decision-making. 
  • Compliance with regulatory requirements was time-consuming, especially since multiple financial processes—such as purchasing, invoicing and taxation—were affected by frequent changes. 
  • The current UI/UX of analytics tools made it difficult for the CFO to quickly access and interpret large volumes of financial data, slowing down decision-making. 
  • A robust anomaly and fraud detection system was needed to manage large-scale financial transactions across disparate external entities, including vendors and clients.

Perennial’s Implementation

  • Optimized the existing Azure PaaS-based architecture to increase compute capacity for real-time analysis of large data volumes.
  • Implemented Azure OpenAI to accelerate automation, enabling dynamic data requests and faster decision-making processes.
  • Used NLP to generate hyper-personalized, self-serve reports from simple queries, allowing for more flexible and intuitive financial reporting.
  • Integrated GenAI-driven alerts to flag anomalies and potential frauds, improving risk mitigation.
  • Developed AI-driven intelligence from financial data, market trends and industry insights to support active investment decisions.
  • GenAI-enabled interpretation of historical, real-time and external data sources for comprehensive analysis.

Key Highlights

  • Achieved 75% faster data insights through real-time streaming analytics.
  • Generated user-friendly, dynamic financial reports using NLP-based queries.
  • Improved fraud detection accuracy with GenAI-driven early warnings and anomaly representation.
  • Realized a 10% increase in ROI from more efficient investment decision-making through GenAI-driven market assessments.
  • Achieved 80% faster interpretation of policy and regulatory documents, leading to more effective decision-making and enhanced recommendations.
Success Story

Analytical Engine for Customer Behavior Analysis and Financial Service Recommendations.

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