Respond AI: AI Closing Note Category and Summary
under review
W
Wilson Tan
Business Problem:
Currently, closing notes on Respond.io require manual input, which can be time-consuming and inconsistent. Users have no automated way to categorize or summarize conversations effectively. This lack of automation hinders the ability to analyze trends, sentiments, or outcomes across conversations, leaving a gap in actionable insights.
Desired Outcome:
Implement an AI-driven system for closing notes that:
- Automates Categorization: Suggests or selects categories (e.g., "Resolved," "Escalated," "Follow-Up Needed").
- Generates Summaries: Provides concise, AI-generated summaries of the conversation when a conversation is closed.
- Exportable Data: Stores categorized notes, summaries, and sentiments in a table for Data Export.
This enables users to view trends in conversation outcomes and sentiments across the platform.
By introducing this feature, Respond.io can:
- Save users time by automating closing note tasks.
- Improve data consistency for more accurate insights.
- Empower businesses with actionable analytics to enhance customer interactions and team performance.
S
Shi Hui
under review