This workflow analyzes customer feedback using AI to determine sentiment. If the sentiment is negative, it uses AI to decide whether offering a coupon could improve the customer experience. Finally, it creates and sends a personalized email to the customer, streamlining post-purchase engagement and addressing dissatisfaction effectively.
This workflow streamlines the onboarding process for new customers. Triggered by a new form submission in HubSpot, it uses AI to generate a personalized welcome email. It then schedules a welcome meeting in Google Calendar and sends the personalized email via Gmail. Finally, it updates the customer's owner in HubSpot to ensure a smooth and personalized onboarding experience.
This workflow automatically receives new emails in Gmail, filters them by sender, and uses an AI assistant (e.g., GPT-4) to generate a professional reply based on predefined instructions and examples. The AI-generated reply is then sent back to the original sender via Gmail, streamlining email communication.
This workflow is triggered when a new email is received in Gmail. It uses AI to parse the email content and extract relevant data. It then checks HubSpot for an existing contact with the sender's email address. If the contact exists, the email is logged as an engagement; otherwise, a new contact is created, and then the email is logged as an engagement, automating CRM updates.
This workflow automatically processes inbound lead form submissions, capturing essential details. It researches the lead's business online using AI to gather relevant context. An LLM then crafts a highly personalized follow-up email, including a compelling subject line and a call-to-action to book a meeting. Finally, the personalized email is sent automatically via Gmail, ensuring lightning-fast responses and boosting conversion rates.
This workflow automatically categorizes newly received Gmail emails. It uses an AI to determine the email's topic or sentiment and then applies a relevant custom label in Gmail for better organization and follow-up.
This workflow is triggered when user feedback is updated in a Notion database. It uses an AI to perform sentiment analysis (Positive, Neutral, Negative) and determine if the feedback matches an existing insight or requires a new one. The workflow then updates the Notion database, linking feedback to insights and marking it as processed.