> For the complete documentation index, see [llms.txt](https://docs.infraon.io/infraon-help/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.infraon.io/infraon-help/infinity-user-guide/workspace/agentic-bot.md).

# Agentic Bot

Agentic Bot is an **AI-powered conversational assistant** available within the Workspace module. It enables users and technicians to interact with Infraon Infinity services through natural-language conversations for ticket management, request handling, issue troubleshooting, and operational assistance.

The Agentic Bot helps users perform **ITSM-related activities** directly in the chat interface, without navigating multiple modules or forms.

The module supports conversational workflows for:

* Ticket creation and management
* Request inquiry and tracking
* AI-assisted troubleshooting
* Human handover to live technicians
* Real-time conversational support
* Service classification and recommendations
* Chat history and session continuity

![](/files/20732e77e6f8d152f3e9fcc10cc05e9c663e1d2a)

## **How does it work?**

Users access the Agentic Bot from the Workspace module.

* The AI assistant analyzes user queries and identifies the required action.
* The system classifies the request based on available services and workflows.
* The AI provides troubleshooting guidance or operational assistance.
* For sensitive operations such as ticket creation or technician handover, the AI requests user confirmation before execution.
* The system performs the requested action after approval.
* If required, the conversation can be transferred to a live technician.
* All conversations and actions are stored for audit and tracking purposes.

![](/files/c18a43d7444d04a91900751f4808b38093c9a9a4)

## **Navigating Agentic Bot**

To access Agentic Bot:

* Navigate to Workspace.
* Select the Agentic Bot icon from the left panel.
* Start a new chat session or select an existing conversation.

![](/files/28b5a2884e3efc5376cae30e8328810ecb55b362)

### **Agentic Bot Interface**

The Agentic Bot interface contains the following sections:

<table><thead><tr><th width="241.199951171875">Section</th><th>Description</th></tr></thead><tbody><tr><td><strong>Chat Sessions Panel</strong></td><td>Displays active and previous AI chat sessions.</td></tr><tr><td><strong>Search Bar</strong></td><td>Allows users to search previous AI conversations.</td></tr><tr><td><strong>Conversation Window</strong></td><td>Displays interactions between the user and the AI assistant.</td></tr><tr><td><strong>AI Action Header</strong></td><td>Displays the current AI operation and processing steps.</td></tr><tr><td><strong>Message Composer</strong></td><td>Allows users to send queries and instructions to the AI assistant.</td></tr><tr><td><strong>Workflow Status Area</strong></td><td>Displays AI processing stages such as classification, validation, or ticket creation.</td></tr></tbody></table>

## **Service Management**

Agentic Bot supports conversational service management operations for both tickets and requests.

Supported operations include:

* Create tickets through chat
* Create service requests
* View ticket details
* Retrieve request information
* Check ticket status
* Search tickets using keywords
* Filter tickets by status or date
* View assigned tickets
* Retrieve requester-specific tickets
* Generate issue summaries
* Request technician handover

The AI automatically identifies the required workflow based on the user's conversation.

![](/files/3709274402b8565be1c0b6705d02a2381033aad6)

### **Ticket Management**

Agentic Bot allows users to create and manage tickets in a conversational way.

The AI guides users through the ticket creation workflow by collecting:

* Service category
* Ticket summary
* Description
* Priority
* Related service information

Before ticket creation:

* The AI validates the collected information.
* The AI displays a summary of the planned ticket.
* User confirmation is required before submission.

After confirmation:

* The ticket is created automatically.
* The system displays the ticket details and confirmation message.

![](/files/7eeea5292c729a160908fd7b55c15605d660b95b)

{% hint style="info" %}
If the service cannot be identified, the AI displays an appropriate validation message.
{% endhint %}

### **Request Management**

Agentic Bot also supports request-related conversational workflows.

Users can:

* Retrieve request details
* View open requests
* Search requests
* Check request status
* Retrieve assigned requests

The AI provides a summary of the request information directly within the conversation window.

![](/files/091d082792e6072025b6c3be0aab9fb1832296dc)

### **AI-Assisted Troubleshooting**

The Agentic Bot provides troubleshooting guidance based on the user's reported issue.

The AI can:

* Identify probable issue categories
* Suggest troubleshooting steps
* Recommend corrective actions
* Provide operational guidance
* Suggest related services

Troubleshooting responses are generated in a conversational tone to assist users before escalation or ticket creation.

![](/files/77632b6124e7570e76da361b98a57f8472d5789f)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.infraon.io/infraon-help/infinity-user-guide/workspace/agentic-bot.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
