Automate the Atlassian work the API can't reach.
Jira and Confluence have APIs. The admin console, bulk operations, and the legacy systems around them often don't. StitchOps logs in and operates them the way a person does, using browser automation and computer vision so the manual Atlassian work finally runs on its own.
What StitchOps actually is
It does the Atlassian clicking so your team stops.
Point it at Jira, Confluence, or the admin console, describe the job in plain language, and it logs in, navigates, reads the screen, and finishes the task. It works the same on a modern Atlassian view or a legacy system your workflow connects to.
Runs in a real browser
It logs into Atlassian and admin screens and operates them, so no API is ever required.
Sees the screen, not selectors
Computer vision finds each control, so workflows survive when an Atlassian view changes its layout.
Connects your whole stack
Read from Jira, drive a no-API legacy system, and write results back in one run.
Every action is logged
It records the named element it touched, so a reviewer sees exactly what ran.
Built for the systems around your Atlassian stack
Why teams trust it to run unattended
Reliable enough to leave alone.
Automation that only works in a demo isn't worth deploying. StitchOps is built to run unattended and self-heal when an Atlassian view shifts, with credentials that never leave your own infrastructure.
BYOKV credential custody
Your Atlassian and system credentials stay in your own key vault. StitchOps never holds or persists them.
Runs in your environment
The agent executes inside your network with an outbound-only connection. No inbound ports.
Deterministic and auditable
Every action is logged by the named element it touched, so any run is reviewable.
Compliance ready
SOC 2 Type 1 complete, Type 2 in progress, with HIPAA deployments supported via BAA.
See it run on your Atlassian workflow
Scope one high-value Atlassian workflow and watch StitchOps run it live inside your own environment.
Before and after StitchOps
Trade the manual queue for a workflow.
The admin-console clicks and legacy syncs the Atlassian API can't reach didn't go away. Your team just absorbed them as manual work that never scales. Here's what changes the day StitchOps takes it over.
From stuck workflow to live automation
Start with one workflow prove it, then expand.
You don't buy a platform on faith. You pick the Atlassian workflow that hurts most, watch it run inside your own systems, and let the proof of value make the decision for you.
1. Pick the painful one
Name the Atlassian admin or sync task everyone does by hand. That's the workflow we scope.
2. Describe it in plain language
Tell the AI assistant the steps. It builds a runnable workflow on a visual canvas.
3. Run it in your environment
The agent executes inside your network, pulling credentials from your own vault.
4. Measure, then expand
See hours and dollars recovered, then add the next system as a sub-workflow.
What's your next move?
The admin work isn't going to automate itself.
It's stayed manual this long because everyone assumed it had to be. The only real question left is whether you want to see it run, dig into the details first, or leave it manual for another quarter.