Automation & Operations
How to Automate Weekly Business Reporting with Make and AI
Learn how to build an automated workflow that extracts cross-platform business metrics, synthesizes key trends with an LLM, and publishes executive reports using Make.
- Role
- Operations Managers, Product Managers, Data Analysts, Business Leaders
- Language
- en
- Duration
- 2026-09-21
Compiling weekly business reports across disparate databases, marketing dashboards, CRM systems, and customer support queues consumes hours of tedious manual copying and pasting. By orchestrating automated data pipelines with Make or n8n and integrating LLMs for executive synthesis, teams can deliver consistent, high-quality weekly reports on autopilot.
1. Map Data Sources and Required Metrics
Identify the key systems and metrics needed for your executive report:
- **CRM / Sales**: Closed-won revenue, pipeline additions, conversion velocity.
- **Marketing**: Organic website traffic, lead acquisition cost, new newsletter subscribers.
- **Support / Ops**: Ticket volume, median first-response time, CSAT score.
2. Configure a Scheduled Scenario in Make
Create a new scenario in Make with a recurring schedule trigger (e.g., every Monday at 07:00 AM UTC).
- Add API connectors for your target services (e.g., Stripe, HubSpot, Google Analytics 4, Zendesk).
- Use iterator and aggregator modules to transform raw API responses into structured JSON payloads.
3. Synthesize Insights and Variance with an LLM
Pass the aggregated JSON payload into an OpenAI or Anthropic LLM module in Make. Use a structured system prompt:
"You are an executive operations analyst. Analyze these weekly business metrics against the previous week's baseline. 1) Summarize overall performance in 3 bullet points; 2) Highlight the top positive metric variance; 3) Flag any negative anomalies requiring attention; 4) Recommend 2 immediate operational actions."
4. Format Structured Output into Slack / Email
Route the AI-generated analysis to your communication channels:
- Post a formatted Slack message using Block Kit to the #leadership-updates channel.
- Send a beautifully styled HTML email digest to department heads via SendGrid or Gmail.
5. Implement Error Handling and Alerting
Add error-handling directives (Resume, Rollback, or Warning Alerts) in Make to catch API rate limits or authentication expirations. Set up a fallback notification to the operations team if any step fails.
Explore broader operations workflows in the AI Automation Expert Path.