Set the baseline
Measure task volume, handling time, labor value, and existing rework before modeling improvements.
The economics of useful intelligence
What is an AI workflow worth after review time, retries, and operating costs? Explore the assumptions and see where the economics start to work.
No magical savings. Every assumption is yours to change.
A model you can question
Compare today’s process with an AI-assisted one. Model labor capacity, recurring costs, rework, and setup payback.
Currency is USD. Time saved is modeled labor capacity, not guaranteed cash savings. No model pricing is fetched.
Put the excitement to the test
Model cost is one part of the picture. Human review, ongoing oversight, and corrections often decide whether an automation earns its place.
Read the field guide ↗Measure task volume, handling time, labor value, and existing rework before modeling improvements.
Add review, extra runs, fixed operating costs, oversight, and expected corrections.
Change volume and review time. Look for a durable advantage rather than a single optimistic scenario.
A few good questions
No. The result values labor capacity at your chosen hourly rate. It becomes cash savings only if actual spending changes. Validate the assumptions with a pilot.
It includes the inputs shown. Add subscriptions and infrastructure to fixed costs. It does not model taxes, discount rates, financing, or changes in revenue.
One-time setup cost divided by positive modeled monthly net value. If net value is zero or negative, there is no modeled payback.
No. Version 1.0 processes your inputs on this device. Draft saving is optional. You can export your work without creating an account.
An honest starting point