Auto Models

Don't send a professor to fetch the coffee.

Every time an AI "thinks," it costs money. Most steps in a business process are simple: sort this, read that, check the other. Using the biggest, most expensive AI for all of them is like sending your most senior expert to do every errand. Auto Models use a small, fast, inexpensive AI for the routine work and call on the powerful, costly one only for the genuinely hard thinking. That is why an Auto is affordable to run at scale.

Model the savings See the technology

Right-sized AI for each step Runs on your own AI contracts

Live model routing

Every business step is routed

RouterLooks at each step and decides how to handle it.

Small modelSmall, fast, inexpensive AI for routine work.

SpecialistTuned to the customer's own processes.

ExpertHeld in reserve for hard reasoning.

60%Fewer tokens per process than sending every step to a large model

The problem

Why some AI systems get very expensive, very fast.

AI is billed in units called tokens, roughly the amount of thinking it does. Many AI systems answer every single step of a process with the largest available model, so the bill grows with every step. A process with fifty steps pays top rates fifty times. Supervity calls this pattern tokenmaxing, and it is why a lot of impressive demos never make it into affordable, everyday production.

Tokenmaxing

Many AI systems answer every single step of a process with the largest available model, so the bill grows with every step.

Cost grows step by step

Auto Models

Auto Models use a small, fast, inexpensive AI for the routine work and call on the powerful, costly one only for the genuinely hard thinking.

Right
brain

Smallfast

Tunedroutine

Largereserve

The Supervity way

Match the brain to the task.

An Auto routes each step to the cheapest capable model. Three tiers do the work.

Step 1 : the Sorter Small, fast models

Looks at each step and decides how to handle it. Cheap and quick, and the reason the expensive model is rarely needed.

High volume · low cost

Step 2 : the Specialist A model tuned to your work

Handles the bulk of the routine reasoning, specialised to the customer's own processes. It carries most of the load at a fraction of the cost.

Most business reasoning

Step 3 : the Expert The large model, held in reserve

Called only for the genuinely hard reasoning, using the customer's own AI contract. Powerful when needed, not on every step.

Used selectively

~60% Fewer tokens per process than sending every step to a large model

Cheapest capable Every step handled by the lowest-cost model that can do it right

Tight context The Auto Graph supplies only what is relevant, so less is sent each time

Compounding savings

The savings are real, and they compound

Lower cost per step, multiplied across millions of steps, is what lets an Auto run an entire operation for less than the team that used to do it, and keep getting cheaper as more of the work becomes self-driving.

Connected economics

The same economics power AIshore

Because running an Auto is inexpensive, Supervity can replace outsourcing contracts priced to headcount and still improve the margin. See AIshore, or put numbers to it in the ROI Calculator.

Model the token savings

Model the token savings on your own process.

Compare staying on today's approach against moving to Autos, or watch it run for real in a three-week AutoPilot Bootcamp.

Open the ROI Calculator → Back to the technology