AI Customer Support Automation That Actually Understands Context by Manohar BhatAI Customer Support Automation That Actually Understands Context by Manohar Bhat
AI Customer Support Automation That Actually Understands ContextManohar Bhat
Cover image for AI Customer Support Automation That Actually Understands Context
I build AI systems that actually understand your customers - not just keyword matching, but real intent detection with urgency scoring and personalized responses based on customer history and tier. You get a working automation that handles 70%+ of routine inquiries while flagging VIP customers and urgent issues for human attention. Built with Claude AI, deployed to your stack, with a dashboard to stay in control.

What's included

AI Classification API
Deployed REST API that categorizes messages by intent (billing, support, complaint, inquiry) with confidence scores and urgency detection.
Admin Dashboard
Web interface to monitor incoming messages, review AI classifications, approve/edit draft responses, and track performance metrics.
AI Response Generator
Claude-powered system that drafts context-aware responses based on customer tier, issue type, and conversation history.
System Integration
Connected to your existing email or helpdesk platform (Gmail, Zendesk, Freshdesk, Intercom, or custom API).
Documentation & Handoff
Complete setup guide, API documentation, and a 30-minute video walkthrough of the system.
Post-Launch Support
14 days of bug fixes, performance tuning, and adjustments after deployment goes live.
FAQs
Gmail, Outlook, Zendesk, Freshdesk, Intercom, HubSpot, and any platform with an API. If you use something custom, we can discuss integration options on our discovery call.
Typically 85-95% accuracy after tuning. The system improves over time as it learns from corrections. Edge cases are flagged for human review rather than guessing.
You choose. Most clients start with "draft mode" where AI suggests responses for approval, then enable auto-responses for routine inquiries once they trust the system.
The dashboard lets you correct any misclassification with one click. These corrections help improve accuracy. Critical or ambiguous messages are automatically flagged for human review.
No. The dashboard is designed for non-technical teams. I handle all the technical setup and provide a walkthrough so your team can manage it day-to-day.
Hosting runs ~$20-50/month depending on volume. Claude AI API costs vary by usage (typically $50-200/month for most businesses). I'll give you estimates based on your message volume.
Contact for pricing
Schedule a call
Tags
ChatGPT
Claude
Neo4j
Next.js
Python
AI Engineer
AI Model Developer
ML Engineer
Service provided by
Manohar Bhat Bengaluru, India
AI Customer Support Automation That Actually Understands ContextManohar Bhat
Contact for pricing
Schedule a call
Tags
ChatGPT
Claude
Neo4j
Next.js
Python
AI Engineer
AI Model Developer
ML Engineer
Cover image for AI Customer Support Automation That Actually Understands Context
I build AI systems that actually understand your customers - not just keyword matching, but real intent detection with urgency scoring and personalized responses based on customer history and tier. You get a working automation that handles 70%+ of routine inquiries while flagging VIP customers and urgent issues for human attention. Built with Claude AI, deployed to your stack, with a dashboard to stay in control.

What's included

AI Classification API
Deployed REST API that categorizes messages by intent (billing, support, complaint, inquiry) with confidence scores and urgency detection.
Admin Dashboard
Web interface to monitor incoming messages, review AI classifications, approve/edit draft responses, and track performance metrics.
AI Response Generator
Claude-powered system that drafts context-aware responses based on customer tier, issue type, and conversation history.
System Integration
Connected to your existing email or helpdesk platform (Gmail, Zendesk, Freshdesk, Intercom, or custom API).
Documentation & Handoff
Complete setup guide, API documentation, and a 30-minute video walkthrough of the system.
Post-Launch Support
14 days of bug fixes, performance tuning, and adjustments after deployment goes live.
FAQs
Gmail, Outlook, Zendesk, Freshdesk, Intercom, HubSpot, and any platform with an API. If you use something custom, we can discuss integration options on our discovery call.
Typically 85-95% accuracy after tuning. The system improves over time as it learns from corrections. Edge cases are flagged for human review rather than guessing.
You choose. Most clients start with "draft mode" where AI suggests responses for approval, then enable auto-responses for routine inquiries once they trust the system.
The dashboard lets you correct any misclassification with one click. These corrections help improve accuracy. Critical or ambiguous messages are automatically flagged for human review.
No. The dashboard is designed for non-technical teams. I handle all the technical setup and provide a walkthrough so your team can manage it day-to-day.
Hosting runs ~$20-50/month depending on volume. Claude AI API costs vary by usage (typically $50-200/month for most businesses). I'll give you estimates based on your message volume.
Contact for pricing