ChatGPT Integration

ChatGPT is an AI chatbot from OpenAI. It interacts with end users through conversational dialogue. ServiceDesk Plus can now be integrated with ChatGPT to simplify help desk management and enhance Zia capabilities.

 

In ServiceDesk Plus, personally identifiable information (PII) is masked before it is sent to ChatGPT. ChatGPT retains this data for up to 30 days. Learn more about OpenAI’s data processing practices.

 

Contents:

 

Role Required: SDAdmin

 

Benefits of the Integration   

 

 Prerequisites for Integration 

A paid ChatGPT subscription is required to use ChatGPT within ServiceDesk Plus. Depending on the plan purchased and the available credits, you can use ChatGPT in the application. Click here to check your credits.

Model Compatibility

Enable Integration 

 

 

 

 Approval/reopen prediction permissions cannot be changed.  
 Disabling ChatGPT integration will remove the configured details. 

 

ChatGPT Integration Features 
 

Approval Prediction  

ChatGPT serves as a fallback option when Zia is unable to predict the user's approval actions via mail.

Zia predicts approval responses as Approval, Reject, or Need Clarification. If Zia cannot make a prediction based on the user's response, ChatGPT will take over the prediction.

When Zia's approval prediction is disabled, ChatGPT will predict the approval status.

The approval prediction will be displayed in the request history as follows:

 

When ChatGPT makes a prediction as Zia's fallback:

 

When Zia is disabled and ChatGPT makes a prediction:

 

Ask Zia (Conversational Chatbot)

Use ChatGPT as the LLM for the conversational bot. The bot provides an interactive experience, responds to user queries, and performs actions based on instructions.

It leverages the ChatGPT LLM and MCP tools to retrieve help desk information and execute actions.

Refer to the GIF for more information on how to use the conversational bot.


 

Generate Post Incident Review

Use ChatGPT in the Ask Zia bot to create detailed post-incident review reports. These reports are generated by using the request subject, requester name, created time, resolution, impact description, and the last ten conversations and request notes.

The post-incident review includes an incident summary, root cause analysis, steps taken to resolve the issue, an impact assessment, and any recommendations or preventive actions, if applicable.
 

Configure Post-incident Review Generation

To generate a post-incident review, enable Ask Zia through either Zia Chatbot Settings or ChatGPT Configurations, then configure the required MCP tool.
 

Enable Ask Zia

Configure ChatGPT

To learn more, refer to Ask Zia (Virtual AI Assistant) under Configuring AI in ServiceDesk Plus.

Configure MCP Tool

To learn more, click Configure MCP Tools.
 

 

Reopen Prediction

ChatGPT serves as a fallback option if Zia cannot predict the user's request reopen actions.

 

ChatGPT will make the prediction when Zia is unable to determine whether the user intends to reopen or retain the completed status of a request.

 

When Zia's reopen request prediction is disabled, ChatGPT will predict the reopen status.

 

When ChatGPT makes a prediction as Zia's fallback:

 

When Zia is disabled and ChatGPT makes a prediction:

Sentiment Analysis

ChatGPT analyzes the first 1,000 characters of incoming email conversations in requests and custom module records, determines whether the sender has expressed a positive, neutral, or negative emotion, and places appropriate emojis.

ChatGPT analyzes request conversation sentiments only if Sentiment Analysis is enabled under Admin > Zia > Zia Configurations > Configuration. Learn more.

When enabled, ChatGPT performs sentiment analysis primarily and Zia will serve as a fallback AI provider.

The overall sentiment of a request and custom module record is based on the most recent conversation. This sentiment is indicated with the appropriate emoji at the top of the request/record details page.

 

Based on conversation sentiments, you can configure trigger rules, and apply filters to <module> list, classic, and kanban views.

 

 Solution Generator 

The Solution Generator, powered by Zia, enables technicians to quickly create knowledge base articles by using simple prompts. It automatically generates a title, detailed content, and relevant keywords in supported languages.

To generate solutions,

 

 

After generating a solution, you can refine it using the following options: 

 

 

Ask LLM in Chat

The Ask LLM in Chat option allows technicians to access ChatGPT from within the chat window during a live conversation with a requester. By using this option, technicians can understand requester queries and respond effectively.

This option applies only to technicians.

 

Classic Bot-Ask ChatGPT 

Use ChatGPT within the Zia bot to ask questions and receive responses. In the Zia bot, click Ask GPT and enter your query or prompt. You can provide additional prompts or queries to interact with the AI.

You can submit queries or prompts of up to 2000 characters. 

 

 

After you have completed your interaction with ChatGPT, click Exit ChatGPT displayed at the bottom of the chat.

 

 

Classic Bot-Context-aware Solution Suggestion

Use ChatGPT to get solution suggestion in Zia Bot. Retrieval-augmented generation (RAG) approach provides relevant and context-based solutions from the instance. Users are recommended to provide a brief description on their requirement to get accurate results.

Zia Bot’s behavior depends on the ChatGPT configuration.

ChatGPT Enabled: The solution summary with the link to the reference solution is displayed in Zia Bot.

If you are not satisfied with the search result, you can use No, I would like to try ChatGPT to get solutions from the web.

ChatGPT Disabled: Up to top 10 relevant solutions from the Solutions module are displayed in Zia Bot. To get more relevant solutions, you can try searching again with different search phrases.

 

 

Classic Bot - Explore Solutions

Use ChatGPT in Zia bot to search for external solutions from the web and generate answers to resolve issues.

When searching for a solution in Zia bot, the Maybe explore ChatGPT option will be displayed with Zia's search results. 

 

 

Based on your search string, ChatGPT will generate an external solution. You can provide additional prompts in the chat to look for more solutions.

Click Exit ChatGPT to end the interaction with ChatGPT.

 

Classic Bot - Explore solutions while creating request

Use ChatGPT to generate solutions while creating requests via Zia Bot.

While creating a request, irrespective of Zia bot's solutions, you can use ChatGPT to find solutions for the issue from the web.

Click I would like to try ChatGPT to search for a solution.

 

When Zia suggests solutions:

 

When no solution is available:

 

Classic Bot - Template Prediction

Use ChatGPT in Zia Bot to automatically predict the most relevant template during request creation.

Describe your issue or requirement in the bot, and it will identify the relevant request template.

ChatGPT Enabled

Zia Bot opens the request form in a slider window using the predicted template. If no matching template is found, the default template is displayed for incident requests, and a card view appears for service requests, allowing users to choose the appropriate template.

ChatGPT Disabled

 

Incident Template Prediction

Service Template Prediction

 

Reply Assistant 

Helps you generate and refine email responses.

Capabilities

Enable Reply Assistant

Use Reply Assistant

To generate a response:

  1. Click Reply/Reply All.

  2. In the description section, click on the toolbar.

  3. Enter your prompt.

  4. Click Generate.

 

To improve existing content:

  1. In the reply email, select the text you want to modify.

  2. Click on the toolbar.

  3. Choose the required option.

  

Post-Generation Actions

After content is generated, you can click:

 

 

Summarization 

Technicians can summarize request details and custom module record details by clicking the Summary option on the corresponding details page.

For custom modules, the Summary option will be available only if SDAdmin has enabled the Summary feature in the corresponding custom module configurations.

 

The summarization uses the AI provider configured by SDAdmin. To generate a summary, the AI provider will analyze the latest 30,000 characters in the description and the most recent 10 conversations and 10 notes.

For requesters, only the notes and conversations visible to them will be included in the summary.

For custom module records, the AI provider will analyze the fields and subentities defined by the custom module administrator. Up to 20 records per subentity can be included. Learn more.

Writing Assistant

Helps you create and refine content in editor fields, including emails.

Note: The availability of Writing Assistant in email editors depends on the following criteria:

 

Capabilities

Enable Writing Assistant

Use Writing Assistant  

To generate content:

  1. Go to the required editor.

  2. Click on the toolbar.

  3. Enter your prompt.

  4. Click Generate.

 

To improve existing content:

  1. Go to the required editor.

  2. Select the text you want to modify.

  3. Click on the toolbar.

  4. Choose the required option.

  

Post-Generation Actions

After content is generated, you can click:

 

Data Shared With LLM

ServiceDesk Plus uses LLMs in specific scenarios to enhance predictions, summarization, reply assistance, and chatbot responses.

Only the minimum information required to perform the requested action is sent to the LLM.

The table below outlines each feature and the type of data shared.

Feature

Data Shared With LLM

Purpose

Approval Prediction

Approver’s email reply content

To classify the response as Approve or Reject.

Ask Zia (Conversational Chatbot)

Only the user’s query
Learn more

To understand the instruction.

Post Incident Review Generation

Request subject, requester name, created time, resolution, impact description, last 10 conversations, and last 10 request notes

To generate a post-incident review summary.

Reopen Prediction

Email or reply sent by the user for a closed request

To predict reopen intent.

Classic Bot (Ask ChatGPT)

User’s chat queries

To provide help desk or external solutions by using LLM

Context-Aware Solution Suggestion

User queries and relevant solutions from the ServiceDesk Plus Solutions module

To suggest the most relevant solution.

Explore Solutions

User queries

To provide external solutions related to help desk queries.

Explore Solutions During Request Creation

User queries

To provide relevant external solutions during request creation.

Template Prediction

Request's subject, template name, and description

To predict the best matching template.

Reply Assistant

Text selected or entered in the reply editor

For rewriting, grammar correction, and reply suggestions.

Request Summarization

Request description, last 10 conversations, and last 10 notes

To generate a concise summary of the request.

 

Data Used by Ask Zia to Perform ServiceDesk Plus Operations

 

Modules/Subentities

Operations

Data Shared With LLM

Requests

Create, update, assign, pick up, close, summarize, review

Only fields required for that specific operation

Request Templates

Retrieve service or incident templates

Template name and description

Request Tasks

Add, update, assign, close tasks; fetch tasks/comments

Only the specific fields involved in the task operation

Request Resolutions

Retrieve resolution details

Only the text needed for response

Request Notifications

Retrieve notifications

Notification message content only

Changes

Create changes; fetch stages, tasks, notes, approvals

Only fields necessary for the user’s query

Notes

Add, update, or retrieve notes

Note text only

Approvals

Approve or reject approvals

Approval message

Announcements

Fetch announcements

Announcements text only

Solutions

RAG search; retrieve solution details

Only the relevant solution content

Helpdesk Fields

Levels, Priorities, Categories, Subcategories, Urgencies,  Modes, Items, Status, Request Types, and Closure Codes. 

Field names with their values and descriptions

Users / Technicians

Fetch users list

User name and other details available in the API

 

 

Usage Statistics 

Usage statistics record the user, feature, number of tokens used for the query and response, and the requested and received times of the response.

 

To view the usage statistics of ChatGPT,

 

You can filter the usage statistics by time, users, or features.

 

History 

All actions related to this integration will be recorded in history.

 

To view the history,

 

You can filter the history by date, sort it in ascending or descending order, and search for actions based on the user who performed them.

 

 History will record when the integration is enabled or disabled, as well as when the configuration details are updated.