Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

IT Voice Support Automation Bot – Telegram Voice Message to JIRA ticket with OpenAI Whisper Automatically process IT support requests submitted via Telegram voice messages by transcribing, ...

Best for

Ticket Management automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.slack, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-base.jira, n8n-nodes-base.telegramtrigger, n8n-nodes-base.if

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Trung Tran.

Original n8n.io source

1.1 Workflow description

Title: Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini
Workflow name: Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini

🎧 IT Voice Support Automation Bot – Telegram Voice Message to JIRA ticket with OpenAI Whisper

> Automatically process IT support requests submitted via Telegram voice messages by transcribing, extracting structured data, creating a JIRA ticket, and notifying relevant parties.

🧑‍💼 Who’s it for

Internal teams that handle IT support but want to streamline voice-based requests.
Employees who prefer using mobile/voice to report incidents or ask for support.
Organizations aiming to integrate conversational AI into existing support workflows.

⚙️ How it works / What it does

A user sends a voice message to a Telegram bot.
The system checks whether it’s an audio message.
If valid, the audio is:
- Downloaded
- Transcribed via OpenAI Whisper
- Backed up to Google Drive
The transcription and file metadata are merged.
The merged content is processed through an AI Agent (GPT) to extract structured request info.
A JIRA ticket is created using the extracted data.
The IT team is notified via Slack (or other channels).
The requester receives a Telegram confirmation message with the JIRA ticket link.
If the input is not audio, a polite rejection message is sent.

📌 Key Features

Supports voice-based ticket creation
Accurate transcription using Whisper
Context-aware request parsing using GPT-4.1 mini
Fully automated ticket creation in JIRA
Notifies both IT and the original requester
Cloud backup of original voice messages (Google Drive)

🛠️ Setup Instructions

Prerequisites

Component	Required
Telegram Bot & API Key	✅
OpenAI Whisper / Transcription Model	✅
Google Drive Credentials (OAuth2)	✅
Google Sheets or other storage (optional)	⬜
JIRA Cloud API Access	✅
Slack Bot or Webhook	✅

Workflow Steps

Telegram Voice Message Trigger: Starts the flow when a user sends a voice message.
Is Audio Message?: If false → reply "only voice is supported"
Download Audio: Download .oga file from Telegram.
Transcribe Audio: Use OpenAI Whisper to get text transcript.
Backup to Google Drive: Upload original voice file with metadata.
Merge Results: Combine transcript and metadata.
Pre-process Output: Clean formatting before AI extraction.
Transcript Processing Agent: GPT-based agent extracts:
- Requester name, department
- Request title & description
- Priority & request type
Submit JIRA Request Ticket: Create ticket from AI-extracted data.
Setup Slack / Email / Manual Steps: Optional internal routing or approvals.
Inform Reporter via Telegram: Sends confirmation message with JIRA ticket link.

🔧 How to Customize

Replace JIRA with Zendesk, GitHub Issues, or other ticketing tools.
Change Slack to Microsoft Teams or Email.
Add Notion/Airtable logging.
Enhance agent to extract department from user ID or metadata.

📦 Requirements

Integration	Notes
Telegram Bot	Used for input/output
Google Drive	Audio backup
OpenAI GPT + Whisper	Transcript & Extraction
JIRA	Ticketing platform
Slack	Team notification

Built with ❤️ using n8n

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 2 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 3 - Send message to IT Support team

Type / Role: n8n-nodes-base.slack - slack
Config choices: Version 2.3

Block 4 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Setup Jira, Slack, Email

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - Submit JIRA request ticket

Type / Role: n8n-nodes-base.jira - jira
Config choices: Version 1

Block 7 - Telegram Voice Message Trigger

Type / Role: n8n-nodes-base.telegramTrigger - telegramTrigger
Config choices: Version 1.2

Block 8 - Is audio message?

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 9 - Un-supported message type

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 10 - Download audio message

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - Transcribe a recording

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 12 - Sticky Note7

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - Transcript Processing Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.8

Block 14 - Inform reporter via Telegram

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 15 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 16 - Sticky Note8

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 17 - Sticky Note9

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 18 - Backup Audio Message To Google Drive

Type / Role: n8n-nodes-base.googleDrive - googleDrive
Config choices: Version 3

Block 19 - Process output before feeding AI agent

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 20 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 21 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 22 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 23 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Showing the first 24 of 25 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini
Complexity	advanced
Nodes	25
Categories	Ticket Management, AI Summarization
Author	Trung Tran
Published	07 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7137/7137.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Ticket Management workflows AI Summarization workflows

Frequently asked questions

What does Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini do?

IT Voice Support Automation Bot – Telegram Voice Message to JIRA ticket with OpenAI Whisper Automatically process IT support requests submitted via Telegram voice messages by transcribing, ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.

Trung Tran

35 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.slack n8n-nodes-base.stickynote n8n-nodes-base.set n8n-nodes-base.jira n8n-nodes-base.telegramtrigger n8n-nodes-base.if

Complexity

advanced

Published 07 Aug 2025

Likes 0

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Install path: /data/workflows/7137/7137.json

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Automate IT support with Telegram voice to JIRA tickets using Whisper & GPT-4.1 Mini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎧 IT Voice Support Automation Bot – Telegram Voice Message to JIRA ticket with OpenAI Whisper

🧑‍💼 Who’s it for

⚙️ How it works / What it does

📌 Key Features

🛠️ Setup Instructions

Prerequisites

Workflow Steps

🔧 How to Customize

📦 Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - OpenAI Chat Model

Block 2 - Structured Output Parser

Block 3 - Send message to IT Support team

Block 4 - Sticky Note

Block 5 - Setup Jira, Slack, Email

Block 6 - Submit JIRA request ticket

Block 7 - Telegram Voice Message Trigger

Block 8 - Is audio message?

Block 9 - Un-supported message type

Block 10 - Download audio message

Block 11 - Transcribe a recording

Block 12 - Sticky Note7

Block 13 - Transcript Processing Agent

Block 14 - Inform reporter via Telegram

Block 15 - Merge

Block 16 - Sticky Note8

Block 17 - Sticky Note9

Block 18 - Backup Audio Message To Google Drive

Block 19 - Process output before feeding AI agent

Block 20 - Sticky Note1

Block 21 - Sticky Note2

Block 22 - Sticky Note3

Block 23 - Sticky Note4

Block 24 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions