Automating Business Reports with AI: A Technical Deep Dive

Last quarter, I spent 6 hours every Monday compiling business reports from Stripe, Google Analytics, and our CRM. Now a Python script does it in 90 seconds and emails the PDF to my team. Here's the complete implementation. System Architecture ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ Data Sources │ │ AI Summary │ │ Output │ │ │ │ │ │ │ │ • Stripe API │───▶│ • Claude API │───▶│ • PDF Report │ │ • GA4 API │ │ • Trend │ │ • Email via │ │ • CRM API │ │ Analysis │ │ SendGrid │ │ • Database │ │ • Anomaly │ │ • Slack Post │ │ │ │ Detection │ │ │ └──────────────┘ └──────────────┘ └──────────────┘ Step 1: Data Collection Layer import stripe import anthropic from google.analytics.data_v1beta import BetaAnalyticsDataClient from google.analytics.data_v1beta.types import ( RunReportRequest , DateRange , Metric , Dimension ) from dataclasses import dataclass , field from datetime import datetime , timedelta @dataclass class RevenueData : total_revenue : float transaction_count : int avg_t