Jira Automation
Workflow Description
Intelligent Jira automation that uses an AI agent to process documents, extract relevant information, organize it, and automatically send updates to Jira and social media on a scheduled basis.
How it works
- 1.Load documents automatically at scheduled intervals using the trigger
- 2.Split and convert text to embeddings via OpenAI API
- 3.Search vector store and extract key information using AI agent
- 4.Remove duplicate data and sort by priority or relevance
- 5.Create and update Jira tickets and post summaries to Twitter/X
Use cases
- Monitor project updates and issues extracted from incoming documents
- Distribute intelligent summaries to your team via Jira and social channels
- Process large document volumes and organize them automatically
Requirements
- OpenAI API key and active Jira account configured
- Supabase vector database for storing embeddings
- Twitter/X access for publishing updates
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (36)
Schedule Trigger
Schedule Trigger
Embeddings OpenAI
OpenAI
Default Data Loader
Document Default Data Loader
Recursive Character Text Splitter
Text Splitter Recursive Character Text Splitter
Issues Similarity Database
Vector Store Supabase
Supabase Vector Store
Vector Store Supabase
Embeddings OpenAI1
OpenAI
OpenAI Chat Model
OpenAI
Find Similar Issues + Assignees
Agent
Check User Workflow
Jira
For Each User
Split In Batches
Assign User to Ticket
Jira
Schedule Trigger1
Schedule Trigger
Remove Duplicates
Remove Duplicates
Collect Fields
Set
Get Unassigned Tickets more than 5 days
Jira
For Each Issue
Split In Batches
Issue Ref
No Op
Add Comment to Issue
Jira
Sticky Note
Sticky Note
Last 50 Resolved
Jira
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Sticky Note5
Sticky Note
OpenAI Chat Model1
OpenAI
Issues to Items
Split Out
To Structured Output
Information Extractor
Count Assigned Open Issues per User
Summarize
Tally In-Progress Issues per User
Set
Sort By Most Capacity
Sort
If has Items?
If
Skip
No Op
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note