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Ticketdesk AI
AI Agents for Customer Support
111 followers
AI Agents for Customer Support
111 followers
Transform your customer support with AI-powered automation. Create AI agents for customer support and enable automatic AI email responses to handle tickets faster and 24*7.
Ticketdesk AI
The idea for Ticketdesk AI came from a simple frustration: customer support tools have become increasingly complex and expensive, while AI is often treated as an expensive add-on.
So, the idea is to build a help desk where AI isn't just a chatbot - it can classify tickets, replies to ticket, automate repetitive work, and help teams resolve conversations faster without requiring a huge budget or a complicated setup.
After months of building, testing, and talking to customers, we're excited to finally share Ticketdesk AI with the community.
Create an Agent - https://ticketdesk.ai/docs/how-to-create-an-ai-agent-for-customer-support/467
Embed to website - https://ticketdesk.ai/docs/embed-ai-chatbot-on-your-website/507
API - https://ticketdesk.ai/docs/api
MCP - https://ticketdesk.ai/docs/mcp-server-automate-customer-support-with-ai/533
Ask me anything!
@vikashrathee We trialed a few AI support layers and the dealbreaker was always confident wrong answers going to customers unsupervised. How do you handle the handoff when the agent isn't sure, and can a human approve before the reply sends? Also how does it do on messy historical tickets vs a clean KB?
Ticketdesk AI
@artem_fedorovich Per my experience if you have the right prompt, training data and 2nd layer of AI/human approval flow - It solves everything.
Yes, we have feature to enable human approval flow. The AI can write a draft and human agents can review and approve as per their convivence.
Also, we recently enabled a 2-step AI workflow for an enterprise customer using 2 LLM models. For example -
Gemini generates the ticket response.
GPT-5 reviews the response and scores it from 1–10.
If the score is > 7 the response is sent automatically.
If it's < 7 the ticket is assigned to a human agent for review.
It’s a bit more expensive to run two AI models, but the second layer can catch hallucinations, incorrect answers, and low-quality responses before they reach the customer.
For enterprise support, the extra safety layer is worth it.
Ticketdesk AI
Current MRR - $2,500
All-time revenue - $16k
https://trustmrr.com/startup/ticketdesk-ai
It says Open-source Chatbot, however it seems that is wrong.