AI Customer Support in India

Build AI-Powered Support at Scale

Handle customer support tickets, live chats, and email inquiries with intelligent AI agents. Route complex issues to humans, resolve common questions instantly—all through unoblox, billed in rupees.

Why AI support over traditional helpdesks

Speed: Respond to tickets in milliseconds, not hours. Cost: Scale support to 10x volume without hiring 10x staff. Consistency: Every answer follows your brand guidelines and tone. Audit trail: Full logs of every interaction for compliance and improvement.

Models for customer support

Model	Input/Output (₹)	Personality	Context
Claude Sonnet	₹201.6 / ₹1008	Professional, empathetic	200K+ tokens
Qwen3 Max	₹120.95 / ₹604.77	Versatile, reasoning	256K tokens
Claude Opus	₹504 / ₹2520	Premium, nuanced	200K+ tokens
Qwen3.8-27B	₹16.32 / ₹48.96	Budget-friendly fast	262K tokens

Build a support bot in 3 steps

Step 1: Prime the system prompt with your knowledge base

You are CustomerBot, unoblox's support agent.
Tone: Friendly, India-first, helpful.
Product: OpenAI-compatible AI inference gateway.
Knowledge:
- Pricing: See /models for live ₹ rates.
- Billing: Monthly GST invoice in rupees.
- Integrations: OpenAI SDK, LangChain, LlamaIndex.
If unsure, escalate to a human: "Let me connect you to a specialist."

Step 2: Call the API with customer message + ticket context

POST https://api.unoblox.ai/v1/chat/completions
Authorization: Bearer ub-gw-...

{
  "model": "anthropic/claude-sonnet-5",
  "messages": [
    {"role": "system", "content": "[Your support prompt]"},
    {"role": "user", "content": "Why is my API rate limit not increasing after I paid ₹5000?"}
  ],
  "max_tokens": 300
}

Step 3: Route and monitor — Flag escalations (keywords: "angry", "refund", "urgent"), track resolution time, collect feedback.

Real scenario: 1,000 tickets/day

1. Auto-respond within seconds using Claude Sonnet.
2. Resolve ~70% (FAQ, password resets, billing questions).
3. Escalate ~30% to humans with AI summary.
4. Cost: ~1M tokens/day ≈ ₹1,000/day on Claude Sonnet.
5. Humans save 20+ hours/day on triage.

Sample responses by category

Billing question: "Your October invoice is ₹X for Y tokens. See /cost-calculator to estimate your next month." Technical error: "Error 401 usually means your API key expired. Rotate it at /keys and try again." Feature request: "Great idea! I've logged it for our product team. Meanwhile, you can build this with [workaround]."

Frequently asked questions

Q: How do I handle angry or abusive customer messages? A: Train the model to stay calm, de-escalate, and route to human support if sentiment is hostile. Use moderation APIs to flag inappropriate input.

Q: Can I connect this to email, WhatsApp, or Slack? A: Yes. Use webhooks to route incoming messages from any channel to the API. Format as JSON, process responses, send via API back to the channel.

Q: What if the bot gives wrong information? A: Always include a human-review loop for critical issues (billing, refunds). Log all bot responses; audit weekly for hallucinations.

Q: How do I keep the bot updated when my product changes? A: Version your system prompt; store in a database. Each API call fetches the latest version. Re-test when you update.

Q: Can I measure bot performance (resolution rate, satisfaction)? A: Yes. Track resolved vs. escalated tickets, log satisfaction ratings after resolution, measure first-response time. Iterate quarterly.

Q: Does the bot work in Hindi or regional Indian languages? A: Claude Sonnet and Qwen3 Max both handle Hindi. Test on a sample; Sonnet is generally more accurate on Indian language nuance.

Get started in rupees → https://unoblox.ai/sign-in