PROOF Co-creation Method
Prove first. Promise later.
Validate AI capability with your real data, then decide whether to partner.
Core Principle: AI runs first, humans verify
Traditional project delivery logic: humans analyze → humans design → humans code → humans test. Humans lead, machines follow. This logic needs to be reversed in the AI era.
The PROOF approach: AI runs through the complete workflow first, producing initial results; humans review, correct, and backstop.
Why? Because AI's greatest strength isn't replacing humans — it's doing the heavy lifting first. An experienced expert reviewing AI output is 3-5x faster than starting from scratch.
P — Profile
2-3 weeksUnderstand your business, get your real data, let AI run the complete workflow. We don't do questionnaire-style surveys — we take your real business data, AI does end-to-end processing, and we quantitatively compare results with manual work.
Business diagnostic report · AI capability validation report · Project feasibility assessment
R — Run
2-3 weeksDefine the product based on validation data. AI product manager writes requirements docs, AI designer outputs high-fidelity interactive prototypes. No lengthy reviews after the plan is done — straight into development iteration.
Product requirements document · High-fidelity interactive prototype · Sprint iteration plan
O — Orchestrate
6-12 weeksOne Sprint every 2 weeks, each Sprint delivers a working system increment. AI team develops → real data validation → client demo meeting → feedback becomes next Sprint tasks.
Working system increment · Real data validation report · Meeting minutes
O — Operate
1-2 weeksSystem deployed and live, team training complete, item-by-item acceptance sign-off. You get your account, log in and start using it.
Deployment confirmation · Operations manual · Training records · Acceptance report
F — Forward
OngoingDelivery isn't the finish line. New requirements go straight back to the Sprint cycle, AI keeps learning, knowledge auto-accumulates. Annual subscription model — no experience lost to staff turnover.
Monthly operations report · New requirement Sprint delivery · Quarterly business review
PROOF vs Traditional Delivery
| Traditional Delivery | PROOF Method | |
|---|---|---|
| What's the first step | Write research reports, draw architecture diagrams | Run your real data through AI |
| When do you see results | 3-6 months later | Within 2-3 weeks |
| Development cadence | Waterfall or long-cycle iteration | One Sprint every 2 weeks |
| Validation method | Write acceptance report at project end | Real data validation every Sprint |
| Who does the work | Stack teams by man-months | AI team executes, humans make judgments |
| After delivery | Team leaves, future work negotiated separately | Annual model, new requirements go straight to Sprint |
| Knowledge accumulation | Handover docs, connection lost after handover | System auto-accumulates, gets smarter with use |
Want to see PROOF run on your data?
Give us a set of your most challenging business data. Within 2-3 weeks you'll get quantified validation results. No contract, no fees.
Book Free Validation