This workflow allows users to log expenses by sending a simple chat message. An AI analyzes the message to extract details like description, cost, and date, then records this information as a new row in a specified Google Sheet. It then confirms the entry via a chat message.
This workflow triggers when a new email containing an inbound order is received in Gmail. It then uses an AI model to extract key order details such as PO number, delivery date, SKU ID, and quantity from the email body. Finally, the extracted information is automatically added as a new row to a specified Google Sheet for logistics tracking.
This workflow monitors your Gmail for new emails containing PDF invoice attachments. It uses AI to extract key financial data such as company information, invoice numbers, line items, and taxes from the PDF. Finally, it creates a new Google Sheet, populates it with the extracted data, and organizes the file in Google Drive for accounting purposes.
This workflow automates invoice processing by monitoring a Google Drive folder for new PDF invoices. Upon detection of a new PDF, it extracts text content using OCR, then uses AI to parse and extract key invoice details like invoice number, date, and total amount. Finally, it stores the extracted, structured data into a Google Sheet for easy access and reporting.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
This workflow collects article details via a form (e.g., Google Forms). It then uses AI to generate an article outline and the full article content based on the inputs. Finally, it saves the generated content to Google Drive and updates a Google Sheet with links for tracking article progress.
This workflow automates the screening and evaluation of job applications. When a candidate submits their application, their CV is uploaded to Google Drive. The system then uses AI to extract candidate information from the CV, retrieves the relevant job description from Google Sheets and Google Drive, and evaluates the candidate against the job requirements. Finally, it stores the results in Google Sheets and sends conditional notifications via Gmail or Slack.