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.
before we build
data, not a demo
about two weeks
EU business hours
No rollout bill.
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.
of enterprise generative-AI pilots showed no measurable impact on profit and loss.
MIT NANDA, “The GenAI Divide”, 2025of generative-AI projects were predicted to be abandoned after proof of concept by the end of 2025.
Gartner, July 2024committed to a full rollout until your pilot hits the number we agreed on together.
The Proofwell ruleAI 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
What could one workflow be worth?
A rough estimate to frame the conversation. The Proof Sprint replaces it with a measured number.
Start small. Scale what's proven.
Proof Sprint
A working AI pilot on your data, scored against an agreed target, in about two weeks.
STEP 2Production Rollout
Only once the pilot passes: we harden it, connect it to your systems and train your team.
STEP 3Fractional AI Partner
Monthly support to monitor results and prove the next use case, without a full-time hire.
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.