Automated AI Customer Service & Workflow Agent
Private RAG knowledge-base assistant resolving 78% of customer tickets autonomously.
Project Overview
Designed and deployed an enterprise-grade AI assistant integrated with the client’s internal documentation, Jira, and Slack. It handles customer support requests, analyzes sentiment, and triggers automated backend actions without human intervention.
What Was Standing in the Client's Way
Support agents spent over 30 hours weekly answering repetitive product questions, leading to customer churn and burnout.
How We Engineered the Platform
Constructed a RAG pipeline utilizing Python, LangChain, and private vector embeddings, strictly bounded by guardrails to prevent hallucination.
Technologies Deployed
Services Provided
- AI Solutions & Consultancy
- Web Development
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