How we work
Four steps. You see proof at the end of every one.
- 1
Audit — Find the opportunities
We look at your business and the work that takes the most time. We score each opportunity and tell you where AI can save you time or money, and how much.
- 2
Build — On your real data
We build on your documents, your questions and your tools, not on a generic demo.
- 3
Prove — Test it before go-live
We agree a test set with you: the questions or tasks the AI must get right. We run it and show you the report before anything goes live.
- 4
Improve — Keep it getting better
We monitor the AI, update it when models change, and send you a monthly report.
What a proof report contains
Every project ends with a report like this one.
- How often the AI answered correctly on the agreed test set
- How many uncertain cases it handed to a human
- How much time it saves
- What it costs to run
Proof report
Example report — concept project, sample data
Test questions answered correctly
46/ 50
Uncertain questions handed to a human
100%
Hours saved per week
~6
Our honesty rules
The AI says "I don't know"
When it isn't sure, it says so instead of guessing.
Uncertain cases go to a human
Questions the AI can't answer well are handed to a person.
You own your data and API keys
Your information and your accounts stay yours.
Find out where AI can save you time or money
Tell us about your business. We'll show you where AI can help, and how much.
Or email hello@prooflineai.dev