Demo on fictional data
Cost per approved document
This is a demo on fictional data that shows the cost of one approved document, cloud against local, from assumptions you can change. Reviewer time is counted, because it is usually the larger line.
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Works offline: not installed
The browser policy on this page forbids network requests (connect-src 'none'). The count is here so you can see it hold. How the demos work.
The assumptions
Every default is illustrative and comes from the worked example note, except the reviewer and approval lines, which are placeholders for your own figures. Re-check prices before relying on them. Results update when you leave a field.
The result
| Line | Metered cloud | Local hardware |
|---|
Local fixed cost is hardware spread over its life plus power and upkeep. Cloud cost is tokens times list price. Reviewer cost is the same in both lanes, because a person approves every document either way.
What this shows, and what it does not
What this shows
- Cost per approved document for a metered cloud model and for local hardware.
- The monthly volume where local becomes cheaper, from the figures you entered.
- How reviewer time compares with the AI cost.
What it does not show
- The defaults are illustrative. Re-check prices before relying on them.
- No figure here is a quote or a guarantee.
- No number here is a result a client achieved.
How it would run for you
This is the shape of a Executive AI Diagnostic: the agent drafts, a named person approves, the log stays with you.
Related services: Executive AI Diagnostic.