WhatsApp Business Bot

This workflow periodically fetches incoming emails from the Gmail support inbox, utilizes AI to intelligently analyze the email content, and automatically generates classification tags, priority assessments, and ticket summaries. It directly creates tickets in Linear.App. This effectively addresses the issues of time-consuming manual ticket processing and the potential for errors, enhancing customer service response efficiency and ensuring standardized management of ticket information. It is suitable for teams that need to quickly handle user support requests, helping businesses improve service quality and work efficiency.

This workflow builds an intelligent support chatbot that can receive user messages in real-time and engage in smart conversations using OpenAI's GPT-4o-mini model. At the same time, it dynamically retrieves the latest knowledge base content by calling the search API of the AcuityScheduling support center, ensuring the accuracy and timeliness of the response information. It integrates a conversation memory feature to enhance user experience and reduce the maintenance costs of traditional customer service, making it suitable for the customer service automation needs of SaaS companies.

This workflow is designed to automate the handling of long-unresolved JIRA tickets. Through scheduled scanning and AI analysis, it achieves intelligent classification of ticket statuses, generation of solutions, and assessment of customer satisfaction. It can automatically send reminders to facilitate ticket follow-ups, reducing the chances of tickets being forgotten or stalled. Additionally, it supports Slack notifications to ensure that relevant personnel are promptly alerted to any anomalies. Furthermore, it can automatically close unresponsive tickets, thereby enhancing the efficiency of the customer service team and improving customer satisfaction.

This workflow implements an automated telephone agent system that uses intelligent calling technology to automatically identify and screen potential customers, handle incoming appointment calls, and trigger the entire process through Google Sheets. It encompasses the complete process management from reminding sales representatives to make calls, automatically dialing calls, to generating call summary emails. Additionally, by analyzing call content with AI, it provides optimization suggestions to help businesses improve sales efficiency, ensure customer data accuracy and completeness, reduce manual operations, and enhance customer communication experience and satisfaction.

This workflow is designed to automate the process of sending direct messages on the Zulip platform. Users can quickly send messages to designated contacts with a simple manual trigger, thereby streamlining communication and improving the efficiency of information delivery. By reducing manual operations, it addresses the cumbersome issue of frequently sending direct messages in team collaboration, ensuring timely communication of information. This is particularly suitable for teams and project members who need to convey private information quickly.

This workflow is designed to automate the processing of support request emails, regularly monitoring a shared mailbox to ensure efficient filtering and deduplication. By converting email content into Markdown format and utilizing AI for intelligent analysis, it automatically adds tags to tickets, assesses priority, and generates summaries, ultimately creating corresponding tickets in JIRA. This process significantly enhances the efficiency of ticket distribution and management while reducing the pressure of manual handling, making it suitable for various customer service and IT teams.

This workflow automatically retrieves "unassigned tickets" from the Zendesk customer service system, formats the status and subject of the tickets, and regularly pushes them to a designated Slack channel. Through real-time notifications, the customer service team can promptly pay attention to and handle pending tickets, preventing them from being overlooked, thereby improving response speed and collaboration efficiency. This automated solution effectively enhances the quality of customer service, ensuring that customer issues are addressed quickly.

This workflow is manually triggered to automatically call the Freshdesk customer service system API, quickly querying all "open" status tickets for a specified user. The operation is simple and requires no coding, allowing for real-time access to user ticket information and enhancing customer service response efficiency. It addresses the cumbersome and inefficient traditional query process, helping customer service and operations personnel quickly locate unprocessed support requests, thereby avoiding information omissions and response delays. It is suitable for customer service teams, operations managers, and technical support staff.