Description
The AI agent framework for Customer Feedback Management is designed to streamline the process of handling feedback, reducing manual labor for the person responsible for sorting and distributing feedback to the relevant departments. The core objective of this agent is to automate the categorization and distribution of customer feedback, ensuring that it reaches the appropriate department efficiently. This automation will reduce manual efforts by at least 30%, marking the success of the AI agent.
The agent will be triggered whenever a person fills out a feedback form, acting as a form-based trigger. Upon receiving the feedback, the agent will analyze the content to identify whether the feedback is a complaint, compliment, or a feature request. Based on the categorization, the agent will automatically route the feedback to the respective department via Slack channels, ensuring that the team responsible for addressing the feedback is notified. Additionally, if the feedback is negative or involves a complaint, the agent will send a response back to the customer via email, ensuring customer concerns are acknowledged promptly.
The workflow is straightforward and consists of a series of steps. First, the person fills out the feedback form, which triggers the agent. The agent then analyzes the feedback, categorizes it into complaints, compliments, or feature requests, and sends it to the corresponding Slack group for further action. If the feedback is a complaint, the customer will be notified by email. The branching point in this workflow occurs when the AI, powered by an LLM (Large Language Model), decides whether the feedback belongs to the complaints, compliments, or feature requests category, directing the output to the relevant department.
For building this framework, tools like Slack for communication, Airtable for managing data, Gmail for customer notifications, and an LLM for natural language processing will be required. Additionally, the Calculator and Switch nodes will help in handling specific operations and workflows within the system. With this agent in place, the process of managing customer feedback becomes significantly more efficient and reduces manual effort, resulting in better time management and improved customer service.
