Cust is an AI-Powered Customer Success Management platform that helps Customer Success Managers (CSMs) serve more customers better. AI agents research customers, recommend next best actions, execute them in one click, extract conversational insights, fix contact data, and automate data entry. Cust addresses the challenges of outdated automations that send generic emails with low click-through rates and inability to handle replies. It offers a solution for providing high-touch experiences to all customers, regardless of size, by leveraging AI agents for proactive onboarding, feedback collection, renewal handling, upselling, cross-selling, and churn recovery. Cust integrates with various platforms like HubSpot, Intercom, Pipedrive, Salesforce, and Segment.
Features & Capabilities
—AI-powered agent interaction for customer onboarding, activation, feedback collection, and QBRs.
—Automated handling of customer replies and proactive engagement.
—Customer segmentation based on conversational insights.
—Sales playbooks for upselling, renewals, and churn recovery.
—Integration with CRM and other platforms for seamless data flow.
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✓Resolve 50%+ of technical issues without human involvement
Intelligent Escalation
Identify when human touch is needed and route appropriately
Example: Detect frustration, refund requests, or technical complexity → escalate to tier 2
✓Humans handle only complex cases, improving job satisfaction and resolution quality
Architecture
Customer support agents combine LLMs with knowledge bases, ticketing systems, and escalation logic to handle customer inquiries autonomously while knowing when to hand off to humans.
LLM Core
Large language model for understanding and generating responsesParse customer intent, generate contextual responses, maintain conversation flow
Knowledge Base Integration
Vector database with company docs, FAQs, product infoRetrieve accurate information to answer customer questions
CRM/Ticketing Integration
Connection to Zendesk, Intercom, or custom ticketing systemLog conversations, escalate to human agents, track resolution
Escalation Logic
Rules engine for when to transfer to human supportHandle complex cases, angry customers, or sensitive issues appropriately
Implementation Guide
Prerequisites
Structured knowledge base (docs, FAQs in searchable format)
API access to CRM/ticketing system
Defined escalation criteria and human-in-loop workflows
Test environment separate from production support
Steps
1Audit most common support tickets (top 20 questions)
2Build knowledge base with answers to common questions
3Set up LLM with RAG over knowledge base
4Integrate with ticketing system API for logging and escalation
