Rippit
Rippit provides an AI agent platform that analyzes 100% of customer conversations across support tickets, calls, chats, and other sources to surface churn risks, product insights, and coaching opportunities. Teams connect tools like Zendesk, Intercom, and Gong, then build no-code agents that automatically scan conversations and alert stakeholders in Slack or generate reports. The platform's Atomic Problems framework identifies specific issue clusters, such as billing problems with a 47% predictive CSAT score, rather than broad categories.
- AI Agents
- Data & Analytics
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Customer-facing teams typically rely on surveys that capture less than 10% of interactions, missing the silent majority of customer sentiment and leaving most signals buried in everyday conversations. Manual analysis of support tickets, calls, and chats is too slow and incomplete for teams to identify emerging issues, churn risk, or product opportunities in a timely manner.
Solution
Rippit provides a platform where teams can launch AI agents to analyze, scan, and act on 100% of customer conversations across calls, emails, Slack, chatbots, and other sources. Users connect their existing tools—such as Intercom, Gong, and Granola—and describe the insights they want to unlock, and Rippit turns that analysis into repeatable Agent Apps that run automatically. The platform enriches every conversation with AI and processes data in the same environment where it resides, avoiding inefficient API calls. Teams can build agents for specific use cases like monitoring chatbot conversation quality, surfacing churn risk to CSMs in Slack, organizing conversation patterns for product strategy, and generating personalized coaching notes from employee interactions.
Target Audience
Primary users are customer success, operations, product, marketing, and support teams at B2B SaaS companies and other data-driven organizations that need to turn high-volume customer conversations into actionable business intelligence.
Features
- No-code agent builder that lets any team create custom conversation-analysis workflows without engineering support
- Pre-built agent templates for common use cases: chatbot monitoring, churn-risk detection, product insight aggregation, and employee coaching
- Predictive CSAT scoring across 100% of conversations, with separate models for human-agent versus chatbot interactions
- Atomic Problems framework that identifies specific issue clusters (e.g., billing problems with 47% CSAT and 58% unresolved rates) rather than broad categories
- Integration with operational data sources like Snowflake to combine conversation insights with structured business data
- Real-time alerting to Slack and other tools, enabling immediate response to rising frustration or repeated issues
- Report generation for executive dashboards, compressing insight-to-action cycle time from weeks to hours