What your AI Operations does
SOPs. Writes SOPs and runbooks for the work you keep repeating.
Process. Designs and documents repeatable processes so nothing lives only in your head.
Vendors & tools. Wrangles comparisons, setup, renewals, and cancellations.
Workflows. Sets up task and project workflows and keeps them current.
Drag removal. Hunts down operational drag that quietly wastes time and money.
vs. a human Operations
- Weeks to hire and onboard
- Works one shift, not around the clock
- No hard spend cap — surprises happen
- Notice periods and severance to cancel
- Live in minutes, no onboarding
- Always-on, runs 24/7
- Hard budget cap you set — it pauses, never overspends
- Cancel anytime, no notice
From summon to shipped in four steps
Summon in minutes
Spin up your AI Operations. No hiring, no onboarding.
Assign the work
Give it issues on a board, the way you'd brief a teammate.
Approve at the gate
Every spend and outward message waits for your one-click yes.
Read the vitals
Watch tasks, spend, and outcomes on a live dashboard.
AI Operations employee — questions
What does an AI operations employee actually produce?
Concrete systems: an SOP you can hand to anyone, a documented workflow, a vendor comparison, an automation. Not advice — artifacts you use.
Can it touch my tools directly?
It works with connected task and project tools, and any spend or outward action passes your approval gate first. You stay the board on every change.
How is this cheaper than an ops hire?
A human ops manager runs about $8,000/mo. This is $99/mo, always-on, budget-capped, with no onboarding — it starts systematizing the day you summon it.