Proof-first AI consulting · US & Europe

See AI work before you pay for it.

Most AI projects stall after the demo. We build a working pilot on your real data, measure it against a target you set, and only then do you decide to invest. No bluff. No AI for the sake of AI.

Success metric agreed
before we build
Tested on your real
data, not a demo
Working pilot in
about two weeks
Remote, in US &
EU business hours
If it fails, you stop.
No rollout bill.
The problem

Everyone is investing in AI. Few can show the return.

Companies buy tools and fund pilots on the strength of a demo. Months later, nobody can point to the number that changed.

0%

of enterprise generative-AI pilots showed no measurable impact on profit and loss.

MIT NANDA, “The GenAI Divide”, 2025
0%

of generative-AI projects were predicted to be abandoned after proof of concept by the end of 2025.

Gartner, July 2024
$0

committed to a full rollout until your pilot hits the number we agreed on together.

The Proofwell rule
The difference

AI for show vs. AI with proof.

The usual way

  • A polished demo on sample data
  • Big upfront contract before anything is tested
  • "Transformation" goals nobody can measure
  • AI added because competitors are doing it

The Proofwell way

  • A working pilot on your own data and tools
  • A small, fixed-price sprint before any big decision
  • One clear metric: hours, cost, errors or revenue
  • We'll tell you when AI is the wrong answer
Preview the upside

What could one workflow be worth?

A rough estimate to frame the conversation. The Proof Sprint replaces it with a measured number.

Your repetitive workflow
Potential yearly value
$0
Hours freed per week0
Hours freed per year0
Full-time equivalents0
Estimate only, based on 46 working weeks. We prove the real figure on your data before you commit to anything. Prove this number ↗
Next step

Ready to see the proof?

Book a free 30-minute Proof Call. We'll tell you honestly whether AI will pay off for your problem, and how we'd prove it.