From Slack Conversations to GitHub Issues: How AI Can Eliminate Manual Ticket Creation
How to automatically convert Slack messages into GitHub & Jira issues using AI. Save 90% of your project management time.
Picture this: Your team just finished an hour-long back-and-forth in Slack. Features were debated, decisions were made, and a handful of action items came out of it. Now comes the part everyone dreads: someone has to comb through the thread, pull out the important details, and then create individual GitHub issues for each task.
Sound familiar? If you’re a project manager, product owner, or team lead, chances are you’ve spent more time than you’d like doing exactly that. It’s important work, but it’s repetitive and eats up hours you’d rather spend elsewhere.
The Problem: Manual Ticket Creation Slows Everyone Down
Here’s what the old way usually looks like:
Team discusses features and makes decisions in Slack
Someone (often the PM) reads through everything afterward
They pull out requirements and action items by hand
They create GitHub, Jira, or Linear tickets one by one
They write descriptions, assign teammates, add labels
Then repeat the cycle after every discussion
This isn’t just tedious. It’s a drag on productivity. Leaders spend hours on administrative work that doesn’t add strategic value, and project momentum stalls while everyone waits for tickets to get created.
The Solution: Let AI Handle the Workflow
With Needle’s AI integration, you can turn that whole process into a matter of minutes. Here’s how it works:
Step 1: Connect Your Tools
Link your Slack workspace and GitHub repo to Needle. That’s all it takes to set up the connection.
Step 2: Let AI Review the Conversation
Instead of scrolling through Slack threads, you just ask the AI to look at a channel or timeframe. Example:
“Summarize yesterday’s daily channel”
“Find files mentioned this week”
The AI reads the discussion, understands the context, and identifies the key decisions and tasks.
Step 3: Pull Out Action Items
Want only what needs doing today? Ask for that. The AI filters the discussion and gives you a clean list of actionable items.
Step 4: Automatic Issue Creation
Here’s the real time-saver:
The AI creates individual GitHub issues
Each issue has a clear title and description based on the conversation
Labels and formatting are added automatically
Relevant context from Slack is included so nothing gets lost
Real-World Impact: From Hours to Minutes
In our demo, the process from Slack thread to GitHub issues took under five minutes. Compare that with the old way:
Manual process:
Reading through Slack: 15–30 minutes
Pulling out action items: 10–15 minutes
Creating issues: 20–40 minutes
Total: 45–85 minutes
AI process:
AI analysis and issue creation: 3–5 minutes
Quick human review: 2–3 minutes
Total: 5–8 minutes
That’s a 90% time savings without sacrificing quality.
Beyond Just Saving Time
The advantages go further:
Consistency: Issues follow the same format every time
Completeness: Subtle action items don’t slip through the cracks
Context: Issues carry the right background details from Slack
Reduced mental load: PMs spend less time on admin, more time on strategy
Faster execution: Teams move from discussion to action almost instantly
Think of AI as a Project Assistant
This isn’t about replacing project managers. It’s about offloading the busywork so they can focus on higher-value decisions. AI becomes the reliable assistant that:
Never forgets action items
Processes information instantly
Works around the clock
Keeps things consistent no matter the workload
Things to Keep in Mind
API limits: Large batches may process in chunks
Quick reviews: It’s best to glance over issues before publishing
Team adoption: Make sure everyone’s comfortable with AI-generated tickets
The Future of Project Management
We’re just scratching the surface. Soon, AI will also help with sprint planning, risk spotting, automated reporting, and resource allocation. Teams that lean into this shift will spend less time on admin and more time on building.
Getting Started
Connect Slack to Needle
Link your GitHub repository
Run your first conversation analysis
Let AI create your first batch of issues
Review, refine, and go
The payoff is immediate. The hours you save in the first week alone will more than cover the setup.
Manual ticket creation doesn’t need to be part of your workflow anymore. Let AI handle the grunt work so you and your team can focus on shipping.
What repetitive project management tasks are chewing up your time? Drop a note in the comments, I’d love to explore how AI could help.