Live Demo — Ather
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Welcome, Team Ather — Your AI Support Hub is Live!

Your intelligent customer support system is ready to serve. Every response is grounded in your product knowledge base, quality-evaluated by Claude Opus 4.6, and designed to delight your customers with speed and accuracy — across both live chat and email.

✓ RAG-Grounded Answers ✓ AI Quality Gate ✓ Chat & Email Ready ✓ Real-Time Analytics
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Email & Chat POC
Agentic AI handles customer queries across live chat and email, grounded in your product knowledge base.
View Demo →
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Quality Assurance POC
AI-powered response accuracy rating and quality gate system, with real-time distribution analytics.
View Analytics →
Coming Soon
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Lead Nurturing POC
Automated lead qualification and nurturing workflows powered by conversational AI and behavioural signals.
Proof of Concept

Agentic AI Customer
Response System

Our agentic AI retrieves answers directly from your product knowledge base — manuals, warranties, and FAQs — and generates precise, context-aware responses. The same intelligence handles both service channels seamlessly.

Live Chat
Email Support
AI Quality Assessment
Live Channels
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Customer Chat Live Chat
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Ask anything about your Ather scooter

Instant answers from your product knowledge base in English, Hindi, or Hinglish. Sourced and accuracy-rated on every reply.

What is the battery range? How do I claim warranty? Battery kitna chalti hai? Warranty kaise claim karein?
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Email Support
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Compose an email query

Get a fully-formatted, professional email response drafted by AI in your language — ready to review and send.

What's the warranty coverage? Request service appointment Warranty mein kya cover hota hai? Service appointment book karna hai
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Response Analytics Loading…
Overview
Total Questions
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Unique Questions
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Avg Response Time
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Avg Accuracy Score
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Quality Assessment (rated by AI)
ExcellentScore 9-10 — Response is accurate, complete, well-cited, and directly addresses the question using knowledge base sources.
0
GoodScore 7-8 — Response is correct and helpful with minor gaps in detail or citation.
0
AcceptableScore 5-6 — Response is partially correct but may miss key information or lack specificity.
0
PoorScore 0-4 — Response contains inaccuracies, hallucinations, or fails to use available knowledge. Escalated to human support.
0
Auto-refreshes every 30 s
Knowledge Sources Used
No documents queried yet.
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AI Test Run
Testing 0/0… —
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Accuracy
Questions tested: —
Duration: —
💬 Chat Channel
Avg Score: — Excellent: — Good: — Acceptable: — Poor: — Blocked: —
📧 Email Channel
Avg Score: — Excellent: — Good: — Acceptable: — Poor: — Blocked: —
Per-Question Results
# Channel Question Score Rating Response Time
Test Run History
Date Accuracy Questions Duration
No test runs yet.
How the Agentic Workflow Operates

💬 Chat Channel

  • Customer submits a question through this live chat interface
  • The agentic system retrieves relevant chunks from the product knowledge base using semantic search
  • A concise, direct response (under 150 words) is generated, grounded in your documentation
  • Cited sources are shown with every answer for full transparency

📧 Email Channel

  • Customer email queries are processed by the same agentic pipeline
  • Responses are formatted as proper emails — with greeting, body, and professional sign-off
  • Tone and format are automatically adjusted for formal email communication
  • Average email draft time is under 10 seconds, reducing agent workload by 70%+

🤖 Accuracy Rating

  • Every response is asynchronously evaluated by a higher-tier AI quality gate
  • Scores reflect relevance, factual accuracy, and completeness (0–10 scale)
  • Low-scoring responses surface for human review and knowledge base improvement
  • Dashboard updates in real time as ratings arrive

📚 Knowledge Base (RAG)

  • Answers are sourced from your uploaded product documents, not trained-in data
  • New PDFs, policies, or manuals can be added instantly without retraining
  • Each chunk is embedded and stored in a vector database for semantic retrieval
  • The system cites which document and section the answer was drawn from