[12 Gov Systems] → [ETL Python Script] → [PostgreSQL] → [Power BI] → [AI Summary Layer] → [Email Delivery]

# Example: Python ETL with scheduling
import schedule
import pandas as pd
from sqlalchemy import create_engine

def run_etl():
    # Connect to each source system
    # Transform and standardise data
    # Load into central PostgreSQL warehouse
    pass

# Run nightly at 3AM
schedule.every().day.at('03:00').do(run_etl)

import openai

def generate_executive_summary(kpi_data_json):
    prompt = f"""
    You are a senior government analyst. Based on the following KPI data for today,
    write a concise executive briefing note (max 200 words) covering:
    - Overall status (1 sentence)
    - Top 3 achievements
    - Top 3 concerns requiring leadership attention
    - Recommended focus areas for today
    
    KPI Data: {kpi_data_json}
    """
    response = openai.chat.completions.create(
        model='gpt-4o',
        messages=[{'role': 'user', 'content': prompt}]
    )
    return response.choices[0].message.content