Don’t buy or build software to operate by hand. Replace legacy SaaS with Autos that get the work done.
What self-driving means
The same one the auto industry uses for cars. Software runs on the same six levels.
People do the work. The software just holds the data. Most enterprise SaaS lives here.
A copilot suggests. People still do the work.
AI does the steps. A person checks every one.
AI runs the process. A person stands by for the exceptions.
The operation runs itself. Humans set policy and handle only what escalates.
The operation runs itself across functions. Humans set direction.
Most enterprise software is still Level 0. Supervity ships Level 4, governed.
Humans stay in command
Auto Policies define what is allowed, what needs approval, and when to escalate. No code.
Every AI Employee works inside the limits set for it.
Anything outside policy stops and routes to a human in the Auto Workbench. The Auto learns the resolution.
Every decision is logged, explained, and auditable. Override anytime.
Same as a self-driving car: a destination that people set, rules of the road it will not break, and a wheel anyone can grab.
AI does the work. Humans govern.
From legacy apps to AI-first operations
Vibe-build the Auto App to the function. Deploy it beside the apps already in place. It takes over the work, function by function, until the old app is just a record underneath.
The ROI
Every function pays three bills today. SaaS to license the software. Labor to staff the people who run it. Intelligence to bolt AI on top. All three rise. Labor never falls.
The ROI is the gap between three rising lines and one. It widens as autonomy climbs.
In production today
Daikin
Finance Auto
~250,000 invoices a year. 85% autonomous.
Adani
Vendor Management Auto
82% AI-first in six months. Replaced the incumbent procurement suite.
State of West Virginia
Permit Management Auto
Sovereign in state cloud. 85% AI-first.
Sovereign
Cloud platforms and frontier labs are built to pull data and workloads onto their infrastructure and their models. Supervity runs the other way: the enterprise’s own cloud, its own model contracts, its own data, air-gapped where required.
Four moats
The operation becomes an asset the enterprise owns. It cannot be copied or carried out, and it gets sharper every cycle.
~60% fewer tokens per process. Small models do the work; the big model is reserved for reasoning.
The only contractual outcome commitment in the category.
The margin and data-residency posture regulated and government buyers require.
Frameworks ship parts. Integrators ship hours. Supervity runs the operation.
Live in 90 days
See the Auto run the function on real-shaped data: policies, AI Employees, exceptions, insights.
FDE baseline scoping sets the cost and autonomy baseline on real data.
AI-enabled blended FDE takes it to production in 90 days. Then compound, function by function.
Every demo opens with the applications the Auto retires and closes with the numbers. Leave with a scoped FDE baseline for the function.
Or: Talk to an FDE · Read the architecture · Talk to a reference customer
Auto Enterprise is one of five tiers. The other four start free at supervity.ai/pricing.