High Tech — Data Governance Workflow for RAG Agents

Overview

The primary purpose of this DAG is to establish robust data governance mechanisms for RAG agents within the high-tech industry, ensuring that sensitive information is handled in compliance with regulatory standards. The workflow ingests data from multiple sources, including customer interaction logs, agent performance metrics, and compliance documentation, to create a comprehensive governance framework. The ingestion pipeline begins with the extraction of raw data, followed by the application of

The primary purpose of this DAG is to establish robust data governance mechanisms for RAG agents within the high-tech industry, ensuring that sensitive information is handled in compliance with regulatory standards. The workflow ingests data from multiple sources, including customer interaction logs, agent performance metrics, and compliance documentation, to create a comprehensive governance framework. The ingestion pipeline begins with the extraction of raw data, followed by the application of data masking techniques and role-based access control (RBAC) to protect sensitive information. Key processing steps include documenting data flows, updating governance policies, and conducting regular audits to ensure adherence to compliance standards. The outputs of this DAG are integrated into a compliance registry, which serves as a central repository for tracking governance activities and incidents. Monitoring key performance indicators (KPIs) such as the number of compliance incidents and response times to audits provides valuable insights into the effectiveness of the governance processes. Ultimately, this DAG enhances operational efficiency, reduces compliance risks, and fosters trust with clients by ensuring that data handling practices meet high standards of security and accountability.

Part of the AI Assistants & Contact Center solution for the High Tech industry.

Use cases

• Enhances data security and compliance for high-tech operations.
• Reduces risk of data breaches and regulatory penalties.
• Improves audit response times and operational efficiency.
• Fosters trust with customers through transparent governance.
• Streamlines data management processes for RAG agents.