NeuralMind

Overview

NeuralMind wanted to offer businesses an AI support chatbot that non-technical staff could train and refine themselves, without needing a data science team. We built a chatbot platform with a conversation-flow builder and analytics dashboard.

The Challenge

Off-the-shelf chatbot tools either required engineering resources to customize or gave support teams no visibility into where the bot was failing to resolve customer queries.

The Solution

We built a retrieval-augmented chatbot trained on each client's knowledge base, with a no-code flow builder for handling common escalation paths. A conversation analytics dashboard highlights unresolved query clusters so support teams can add missing knowledge base content directly.

Key Features

• Retrieval-augmented responses grounded in client knowledge base content
• No-code conversation flow builder for escalation paths
• Conversation analytics highlighting unresolved query clusters
• Seamless handoff to human agents with full conversation context
• Multi-channel deployment across web widget and messaging apps
• Continuous knowledge base gap detection and suggestions

Results

• Reduced first-response time for common support queries
• Surfaced knowledge base gaps that support teams could close directly
• Improved human agent handoff quality with full conversation context
• Lowered ticket volume for repetitive, resolvable queries

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