Blog/AI/ML

Why LLMs Fall Short and Purpose-Built AI Excels in Autonomous Finance

LLM post cover

As the financial sector embraces AI, one critical misstep could cost millions: relying on general-purpose Large Language Models (LLMs). While their capabilities are impressive, their inherent risks make them unsuitable for secure financial operations. OpenEnvoy focuses on purpose-built AI solutions designed to ensure security, accuracy, and data privacy.

The many challenges using LLMs

LLMs are trained on vast amounts of publicly available data from the internet. While this broad training enables them to handle a wide range of tasks, it also introduces several critical vulnerabilities for financial operations:

  1. Data Privacy Concerns:
    Public LLMs are trained on vast datasets, which may inadvertently include sensitive information—a critical risk for confidential financial operations.
  2. Unpredictable Outputs:
    LLMs can produce plausible but incorrect responses ("hallucinations"). Even a single error can lead to financial losses or regulatory issues.
  3. Limited Control and Transparency:
    Organizations lack insight into how LLMs are trained or make decisions, complicating compliance and reliability.
  4. Lack of Traceability:
    Public LLMs don’t allow tracing decisions or actions. OpenEnvoy’s purpose-built AI offers full traceability, ensuring compliance with industry standards.

OpenEnvoy's secure AI architecture

Our approach fundamentally differs from general-purpose LLMs. We've built an AI solution that combines computer vision and neural networks, specifically designed for financial document processing and validation.

Computer vision excellence

Our AI uses advanced computer vision technology to process financial documents. This approach allows us to:

  • Extract data with precision from complex financial documents
  • Maintain consistency across different document formats
  • Ensure accuracy in numerical data processing

Proprietary neural networks

Unlike public LLMs, our neural networks are:

  • Trained exclusively on customer data
  • Optimized specifically for financial document processing
  • Designed to maintain data isolation between clients

The Ask OpenEnvoy feature

Ask OpenEnvoy showcases how AI can deliver value while upholding strict security and privacy standards. Built using OpenAI's LLM, it provides powerful, secure query capabilities within a controlled environment.

Key benefits include:

  • Direct Query Mapping: Connects directly to a customer’s internal database for accurate, context-aware responses.
  • Secure Interactions: Operates entirely within the customer's secure data environment, protecting sensitive information.
  • Zero Data Leakage: Ensures no customer data is exposed to external systems, maintaining compliance and privacy.

By leveraging LLMs where they excel—interpreting natural language queries—Ask OpenEnvoy balances AI's strengths with the security requirements essential for financial operations.

Security by design

At OpenEnvoy, our approach to security and compliance goes beyond avoiding public LLMs. We built our system to address the critical gaps in transparency and traceability that make general-purpose LLMs unsuitable for financial operations.

Key advantages of our purpose-built AI include:

  • Complete Data Isolation: Maintains strict separation of customer data.
  • Auditable AI Decisions: Enables full traceability for compliance and trust.
  • Regulatory Compliance: Provides transparency to meet industry standards.
  • Consistent, Reliable Results: Delivers predictable, secure outputs.

Full traceability empowers organizations to trust their systems and meet regulatory requirements confidently.

The bottom line

Autonomous Finance demands a specialized, secure approach. OpenEnvoy’s purpose-built AI delivers accuracy, security, and full traceability—every transaction and decision is auditable, ensuring compliance and trust.

For IT and finance professionals seeking more details, contact us for an in-depth overview.

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