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AI-Powered SaaS

ChatGenius AI Customer Support
Support That Never Sleeps

Multi-agent AI customer support platform with RAG (Retrieval-Augmented Generation), automatic ticket routing, sentiment analysis, and human handoff. Handling 50K+ conversations/month with 92% resolution rate without human intervention.

Client
ChatGenius AI
Industry
SaaS / Customer Support
Services
AI Agents, AI Automation, Web App, Backend APIs
Duration
8 Months
ChatGenius AI Customer Support

The Challenge

ChatGenius AI was struggling with an overwhelmed support team handling 50,000+ monthly customer conversations across multiple channels. Average response time exceeded 4 hours, customer satisfaction scores were declining, and support costs were spiraling as the company scaled. They needed a solution that could autonomously resolve the majority of inquiries while seamlessly escalating complex issues to human agents.

Core Objectives

  • Deploy multi-agent AI system with specialized bots for billing, technical support, and onboarding
  • Implement RAG pipeline using company knowledge base with Pinecone vector database for accurate responses
  • Build real-time sentiment analysis to detect frustration and trigger intelligent human handoff
  • Create a unified dashboard for monitoring AI performance, conversation analytics, and agent workload

Technology Stack

AI & NLP
OpenAI GPT-4 LangChain Pinecone
Backend & APIs
Python FastAPI Redis
Frontend & Infra
React PostgreSQL AWS Docker
Project Status Completed
Our Solution

Intelligent Multi-Agent Support Platform

We built a sophisticated AI support ecosystem where specialized agents collaborate to resolve customer issues instantly, with seamless human escalation when needed.

RAG-Powered Knowledge Engine

Retrieval-Augmented Generation pipeline indexing 10K+ help articles, product docs, and past tickets via Pinecone for contextually accurate, hallucination-free responses.

Smart Ticket Routing

Intent classification and priority scoring that routes conversations to the right AI specialist or human agent within milliseconds based on topic complexity.

Sentiment Analysis & Handoff

Real-time emotion detection across conversations that triggers proactive human escalation before customer frustration peaks, maintaining 4.7/5 satisfaction.

Multi-Agent Collaboration in Real Time

The system orchestrates specialized AI agents—billing bot, tech support bot, and onboarding assistant—that work together and share context seamlessly across conversation threads.

Contextual memory across multi-turn conversations with 30-day history
Automatic language detection supporting 25+ languages in real time
Intelligent escalation with full conversation context passed to human agents
Multi-Agent Collaboration in Real Time
Our Process

From Chaos to Automation

1

Support Audit

Analyzed 100K historical tickets to identify patterns, common queries, and escalation triggers.

2

AI Agent Design

Architected specialized agents with LangChain, built RAG pipeline, and trained intent classifiers.

3

Platform Integration

Built React dashboard, integrated with existing CRM/helpdesk tools, and deployed real-time analytics.

4

Optimization & Scale

Fine-tuned agent responses using feedback loops, achieved 92% auto-resolution within 3 months.

Key Results

Redefining Customer Support Efficiency

ChatGenius transformed their support operations from a cost center into a competitive advantage with measurable ROI.

Response Time Reduction -95%
Support Cost Savings -70%
Customer Satisfaction 4.7/5

Performance Metrics

Project Gallery

ChatGenius AI Customer Support
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ChatGenius AI Customer Support
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ChatGenius AI Customer Support
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ChatGenius AI Customer Support
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"The AI agents JenovaTech built handle 92% of our conversations without any human involvement. Our response time went from 4 hours to under 12 seconds. This is the most impactful technology investment we've ever made."

Omar Al-Rashid
Omar Al-Rashid
CEO, ChatGenius AI

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