Public Sector — Intent Classification for Request Management
FreeThis DAG classifies incoming requests from various channels and routes them accordingly. By leveraging machine learning models, it enhances operational efficiency in public sector request management.
Overview
The purpose of this DAG is to streamline the management of incoming requests in the public sector by classifying intentions based on their content. It ingests data from multiple sources, including online forms and email communications, ensuring a comprehensive approach to request handling. The ingestion pipeline captures these requests and feeds them into a machine learning model designed to identify relevant categories. This classification process enables the system to route requests to the app
The purpose of this DAG is to streamline the management of incoming requests in the public sector by classifying intentions based on their content. It ingests data from multiple sources, including online forms and email communications, ensuring a comprehensive approach to request handling. The ingestion pipeline captures these requests and feeds them into a machine learning model designed to identify relevant categories. This classification process enables the system to route requests to the appropriate teams for timely resolution. Quality controls are implemented to monitor the accuracy of classifications and ensure that requests are processed within defined timeframes. Performance metrics, such as request handling time and classification accuracy, are tracked to evaluate the efficiency of the process. Alerts are generated for requests that remain unprocessed beyond specified deadlines, allowing for proactive management. The outputs of this DAG include categorized requests and performance reports, which provide insights into request trends and operational bottlenecks. The business value lies in improved response times, enhanced resource allocation, and increased satisfaction among stakeholders in the public sector.
Part of the Governance & Compliance solution for the Public Sector industry.
Use cases
- Increased efficiency in handling public sector requests
- Improved accuracy in request categorization
- Enhanced stakeholder satisfaction through timely responses
- Data-driven insights for resource allocation
- Proactive management of unprocessed requests
Technical Specifications
Inputs
- • Online form submissions
- • Email request communications
- • Previous request logs
Outputs
- • Categorized request records
- • Performance metrics reports
- • Alert notifications for unprocessed requests
Processing Steps
- 1. Ingest requests from online forms and emails
- 2. Preprocess incoming data for analysis
- 3. Apply machine learning models for classification
- 4. Route requests to designated teams
- 5. Monitor processing times and accuracy
- 6. Generate alerts for overdue requests
- 7. Compile performance reports for stakeholders
Additional Information
DAG ID
WK-0238
Last Updated
2026-01-03
Downloads
107