Automations > Operations
OperationsData Cleaning Pipeline
Raw Data to Clean Table
Normalizes and validates raw data from email attachments with AI and writes structured output to Google Sheets.
How It Works
What does this automation do?
Partners send data in different formats. AI recognizes raw data in email attachments, cleans it, and writes standard Sheets output.
Integrations Used
Integration Chain
4 stepsEmail attachment → GPT cleaning → validation → Sheets output.
Data file attachment received
AI format recognition and cleaning
Validation rules applied
Clean data written to Sheets
Benefits
What does this flow deliver?
Manual data entry eliminated
Consistently high data quality
Analysis-ready datasets
Data Cleaning Pipeline
Live automation preview
Data file attachment received
GmailData file attachment to designated address triggers flow.
AI format recognition and cleaning
OpenAIGPT recognizes CSV, Excel, or text and normalizes.
Validation rules applied
Required field and format rules applied.
Clean data written to Sheets
Google SheetsClean data written to target Sheets table.
Automation Complete
-90% data errors
Related Automations
Project Status Update
Teams shouldn't wait for meetings when project status changes. Notion task status updates instantly notify relevant Slack channels.
Meeting Summary Distribution
Post-meeting notes are inconsistent across teams. When Teams recording ends, AI summarizes, archives in Notion, and distributes via Slack.
Inventory Stock Alert
Current stock alone does not reflect future risk. This flow combines consumption speed with replenishment timing to trigger proactive alerts.