# Transforming Shareholder Servicing with Intelligent Automation

A leading provider of shareholder recordkeeping and servicing solutions sought to modernize its infrastructure and customer service operations. By leveraging cloud computing, intelligent automation, and AI-powered virtual assistants, we built an AI-driven solution for our client to automate document processing, optimize database migration, and enhance real-time shareholder support.

**Challenge**

- Legacy Customer Support: Traditional support lacked real-time responsiveness and personalization, leading to delays in query resolution.

- Database Migration Complexity: Migrating 9-10TB SQL Server databases to Azure required maintaining high availability, performance, and minimal downtime.

- Inefficient Document Processing: Extracting critical information from fund prospectuses and shareholder documents was manual, time-consuming, and error-prone.

- Automation & Integration Gaps: Ensuring seamless integration of extracted data with internal systems and automating infrastructure deployment was essential.

- High Query Volume Management: Handling large volumes of shareholder inquiries efficiently, without compromising accuracy or security, required a scalable AI-driven approach.

**Solution**

- _Design and implemented a cloud-optimized, AI-powered shareholder servicing platform that integrates real-time virtual assistance, automated document processing, and seamless SQL Server migration to Azure, enhancing efficiency, accuracy, and responsiveness for shareholder support_

- Designed a hybrid migration approach for SQL Server databases (up to 9-10TB) to Azure with minimal downtime.

- Automated infrastructure provisioning using Terraform for scalability and efficient deployment.

- Implemented OCR solutions with resolution checks, noise reduction, and skew correction for accurate data extraction.

- Leveraged Azure Computer Vision and Document Intelligence for precise text recognition.

- Used OpenAI Whisper for live transcription and Mistral 8x7B for summarizing shareholder calls.

- Integrated real-time APIs to fetch live account balances, trade details, and other shareholder data.

**Outcome**

- 40% reduction in shareholder query resolution time with IVA implementation.

- 99.5% accuracy in document text extraction using Azure AI and OCR solutions.

- 50% improvement in SQL Server query performance after migration to Azure.