Development of a Generative AI-Driven Internal Productivity and Knowledge Platform for Financial Services Firms

The client faces significant delays and inefficiencies due to high volumes of routine tasks such as email communications, ticket creation, and internal documentation queries, which hinder employee productivity and quick access to critical company information.

A mid-sized brokerage or financial institution managing assets worth billions, focusing on low-fee trading solutions and customer account management.

• Automate and accelerate routine administrative tasks including email drafting, ticket generation, and documentation descriptions.
• Create a centralized internal knowledge base enabling employees to rapidly locate policy documents, security protocols, and service details.
• Improve overall employee efficiency by reducing time spent on repetitive tasks and information retrieval.
• Implement a secure, scalable, and compliant internal web portal integrated with existing enterprise authentication and data infrastructure.

• User authentication via enterprise Single Sign-On (SSO) based on existing directory services.
• Natural language processing engine to interpret user queries and generate concise, relevant responses based on indexed internal knowledge sources.
• Automated creation of detailed support tickets (e.g., JIRA tickets) through natural language input.
• Capabilities for describing application features, internal policies, or security procedures via AI assistance.
• Integration with a custom API gateway to orchestrate business workflows and manage request routing.
• Multitenant internal data storage aggregating data from corporate websites, internal documentation, manuals, and knowledge bases.
• Real-time indexing and retrieval to ensure quick, accurate answers with minimal latency.
• Security features including data encryption, VPN, firewall, and layered authentication to comply with industry regulations.
• Support for large language models (LLMs) and implementation of MLOps best practices for ongoing model lifecycle management.

• Enterprise SSO systems for user authentication
• Internal knowledge repositories including corporate website content, manuals, and collaboration tools (e.g., Confluence)
• Business workflow management tools like JIRA or equivalent
• Internal security management systems

• System should support concurrent access by thousands of employees with minimal latency.
• Response times for user queries should be under 2 seconds.
• Data security protocols must comply with industry standards, including encryption and internal access controls.
• The platform should be scalable to accommodate future growth and additional data sources.
• High availability with 99.9% uptime SLA.

The implementation of this generative AI-powered platform is expected to substantially enhance employee productivity by automating routine tasks, reducing manual effort, and enabling rapid access to crucial internal information. This should lead to faster task completion, improved operational accuracy, and lower overhead costs, similar to prior results where employee efficiency improved significantly through automation and intelligent data retrieval.