Your AWS APIs are covered. So are the screens that aren't.
Plenty of AWS work is console-only, with no CLI or API equivalent, and it spills into the no-API systems around it. StitchOps drives those screens with browser automation and computer vision so the manual work finally runs on its own.
What StitchOps actually is
It does the console clicking so your team stops.
Point it at AWS, describe the job in plain language, and it logs in, navigates the console, reads the screen, and finishes the task. It works the same whether it's an AWS screen or a legacy desktop app from 2003.
Drives the AWS console
It logs in and operates console screens on screen, so no API is ever required.
Sees the screen, not selectors
Computer vision finds each control, so workflows survive when a console changes its layout.
Connects your whole stack
Pull from an AWS API, drive a console-only screen, 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 you already run
Why teams trust it to run unattended
Reliable enough to leave alone.
Automation that only works in a demo isn't worth deploying. StitchOps runs unattended and self-heals when a console screen shifts, with credentials that stay in your own AWS Secrets Manager and never leave your network.
BYOKV with AWS Secrets Manager
Credentials stay in your own AWS Secrets Manager. StitchOps never holds them 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 AWS workflow
Scope one high-value AWS workflow and watch StitchOps run it live inside your own environment.
Before and after StitchOps
Trade the console clicking for a workflow.
The console-only screens and no-API systems 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 AWS workflow prove it, then expand.
You don't buy a platform on faith. You pick the AWS workflow that hurts most, watch it run inside your own environment, and let the proof of value make the decision for you.
1. Pick the painful one
Name the AWS screen or system everyone calls unautomatable. 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 AWS Secrets Manager.
4. Measure, then expand
See hours and dollars recovered, then add the next system as a sub-workflow.
What's your next move?
The console isn't going to automate itself.
It's been 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.