PROJECT STUDY / AI-Powered Operational Reporting & Delivery Pipeline
AI-Powered Operational Reporting & Delivery Pipeline
Database records are cleaned and analysed. An AI API turns the findings into plain-language narratives; a PDF library creates personalised reports ready for WhatsApp or Telegram delivery to field workers without dashboard access.
PERSONALISED REPORTING / WORKFLOW
Database to PDF.
Insight to the field.
- Extract records from the database
- Clean, analyse & calculate metrics
- Use an AI API for plain-language narratives
- Build personalised reports with a PDF library
- Prepare PDFs for WhatsApp or Telegram delivery
Project overview
This project automates the creation of personalized operational reports from structured performance data and delivers those reports directly to stakeholders and field workers through the channels they already use.
The system ingests raw records, aggregates metrics by individual and location, calculates key performance trends, and uses the OpenAI API to transform structured data into clear, actionable narrative summaries. A PDF library combines the analysis and AI-generated narratives into personalised reports. These PDFs can be delivered through WhatsApp or Telegram to field workers who may not have access to a dashboard or data view.
Approach & tools
The pipeline moves from raw records to clearer decisions through four stages: collecting source data, transforming and aggregating records, analyzing performance trends, and delivering decision-ready reports.
OpenAI API · BigQuery · VS Code · Git
Project impact
This workflow reduces manual reporting effort, improves consistency across operational summaries, and helps stakeholders receive relevant insights faster. By turning recurring performance data into personalized narrative reports, teams can focus more time on action and follow-up.