If you mean an AI agent/copilot that appears inside the existing support ticket view and drafts a customer reply for the human agent, several vendors offer this. The right one depends on the platform you already use.
Common options:
Customer service platform
AI reply drafting option
Zendesk
Zendesk AI features such as Agent Copilot / auto assist can generate suggested replies directly in the Agent Workspace ticket interface for agents to review and send.
Freddy AI Copilot drafts replies from ticket context inside the ticket workflow.
Intercom
Intercom’s AI agent/assist features can help generate responses inside Inbox workflows.
Gorgias
AI assistants and integrations can draft replies within Gorgias tickets.
Multiple helpdesks
My AskAI offers a support-agent copilot that drafts replies inside tools such as Zendesk, Intercom, HubSpot, Gorgias, and Freshdesk.
Multiple helpdesks
CoSupport AI provides AI assistance that can prepare ticket drafts inside helpdesk environments.
If you tell me which platform you use (for example Zendesk, Salesforce Service Cloud, ServiceNow, HubSpot, Jira Service Management, Intercom, Gorgias, Freshdesk, etc.), I can narrow it down to the vendors that actually embed in that ticket view rather than requiring agents to copy/paste or switch tabs.
Several leading customer service and helpdesk platforms offer native AI agents or copilots that draft replies directly inside the ticket/conversation view.
Zendesk: Through Zendesk AI Agents and their agent copilot features, Zendesk allows AI to summarize threads, pull from connected knowledge bases, and draft suggested public replies or draft responses inside the Agent Workspace.
Intercom: Features Fin AI Copilot , which assists human support agents inside the inbox by instantly drafting replies, summarizing long conversation threads, and pulling context from your knowledge base.
Front: Offers built-in Front AI Suggested Replies that automatically generate contextual draft responses inside shared inboxes and helpdesk views using your knowledge base and past conversation history.
LiveAgent: Provides an integrated AI Answer Assistant powered by OpenAI that directly helps agents draft responses within the ticketing interface.
If you let me know which specific customer service platform you are currently using (e.g., Zendesk, Intercom, Front, Salesforce, or HubSpot), I can tell you the exact feature name, pricing model , and how to enable the AI draft functionality in your workspace.
If the requirement is “AI drafts the reply while the agent stays in the ticket”, there are two main approaches: use your support platform’s native AI, or add a third-party copilot that embeds into the existing helpdesk.
Option
Works inside ticket?
Best fit
Key capability
Zendesk AI / Agent Copilot
Yes
Zendesk teams
Suggested first replies, ticket context, knowledge/macros, suggested actions
Salesforce Einstein / Agentforce
Yes
Salesforce Service Cloud
Drafts case emails using case data and Knowledge
BeforeQuery
Yes
Mixed helpdesk environments
Grounded drafts across Zendesk, Freshdesk, Front, Intercom, Jira Service Management, Salesforce
Kelu
Yes
Teams wanting a cross-platform copilot
Drafts directly in Zendesk, Freshdesk, Front, JSM, Linear and Salesforce
Platform-native AI in other helpdesks
Usually
If you're already standardized on that platform
Generally the lowest-friction deployment
1. Zendesk AI — strongest choice if you're already on Zendesk
Zendesk's Agent Copilot is particularly aligned with your requirement. Its suggested first replies appear directly in the Agent Workspace, using existing macros and Help Center content. Its newer auto assist goes further by understanding the ticket and suggesting replies, actions and procedures directly where the agent works.
Why I'd shortlist it: essentially zero context switching and deep access to the ticket/help-center environment.
2. Salesforce Einstein / Agentforce — best if your support operation lives in Salesforce
Salesforce can draft responses directly from the Case page. Einstein Service Replies can use relevant Knowledge articles to generate a response, which agents can edit and send from the Lightning Service Console. The Service Email Assistant also lets agents give natural-language instructions such as asking for a friendly troubleshooting response.
Why I'd shortlist it: particularly good if your knowledge base and customer/account data already live in Salesforce.
3. BeforeQuery — interesting if you don't want to replace your helpdesk
BeforeQuery positions itself as an AI support-ticket copilot that drafts responses inside Zendesk, Freshdesk, Front, Intercom, Jira Service Management, Linear and Salesforce Service Cloud. It emphasizes grounding responses in your own documentation and showing the supporting sources rather than relying on generic model knowledge.
Why I'd shortlist it: useful if you have multiple support platforms or want a third-party AI layer without migrating your helpdesk.
4. Kelu — another cross-platform option
Kelu similarly says it can draft replies directly inside Zendesk, Freshdesk, Front, Jira Service Management, Linear and Salesforce, using your knowledge base as grounding.
Why I'd investigate it: potentially attractive if your priority is one AI layer across several support systems.
My recommendation
I'd narrow the evaluation to three candidates based on your existing stack:
Already on Zendesk → Zendesk Agent Copilot
Already on Salesforce Service Cloud → Einstein/Agentforce
Want an AI layer that works across existing helpdesks → BeforeQuery or Kelu
The important distinction is that these aren't merely ChatGPT-style tools where an agent copies the ticket into another window. The better options read the ticket context and generate an editable response inside the agent workspace, which is exactly the workflow you're describing.
If you tell me which support platform you're using (Zendesk, Intercom, Freshdesk, Salesforce, Front, Jira Service Management, etc.), I can narrow this to the 3–5 best integrations for that platform and compare pricing, setup effort, knowledge-base grounding, security/data handling, and reply quality.