Your Uber program runs on portals with no API.
Approvals, receipt capture, and reconciliation still happen by hand because the admin portals never shipped one. StitchOps logs in and operates them the way a person does, using browser automation and computer vision so the work that stayed manual finally runs on its own.
What StitchOps actually is
It does the clicking so your team stops.
Point it at a portal, 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 travel portal or a legacy accounting app from 2003.
Runs in a real browser
It logs into travel and expense portals on screen, so no API is ever required.
Sees the screen, not selectors
Computer vision finds each control, so workflows survive when a portal changes its layout.
Connects your whole stack
Pull ride data from one system, drive a no-API portal, 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 is built to run unattended and self-heal when a portal shifts, with credentials that never leave your own infrastructure.
BYOKV credential custody
Portal credentials stay in your own key vault. StitchOps never holds them and never 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 system
Scope one ride-program workflow and watch StitchOps run it live inside your own environment.
Before and after StitchOps
Trade the manual queue for a workflow.
The portals around your ride program never shipped an API. 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 ride-program 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 ride-program portal 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 vault.
4. Measure, then expand
See hours and dollars recovered, then add the next portal as a sub-workflow.
What's your next move?
The portal 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.