Proof Engine
A working AI system on your data in 6 weeks or an honest verdict that saves you from a far bigger mistake.
85% of AI POCs never reach production – built on sample data, tested in sandboxes, presented in demos nobody can replicate. Proof Engine builds directly on your real data, in your real environment, against a baseline you approve on day one. And if the numbers don't support scaling? We tell you that – 65% of our Proof Engines reach production vs an industry average of 15%, and the other 35% end with that verdict. Our clients consider it money well spent.
THE REAL PROBLEM
85% of AI POCs never reach production. Yours doesn't have to be one of them.
Most fail for the same reasons: sanitized data, no defined baseline, and a slide deck where a verdict should be. The result is €50–200K spent and 12–18 months of internal credibility damage. A POC proves a concept. A Proof Engine proves it works – on your real data, in your real environment, measured against a baseline you define before we start. Every verdict is honest enough to say "don't scale this" – which is why 65% of our Proof Engines reach production, vs an industry average of 15%.
WHAT YOU GET
Working system and a verdict: scale it, adjust it, or kill it.
Working AI system.
Working AI system. Built on your real data, in your real environment.
Built on your real data, in your real environment.
Full documentation package.
Measured before/after Delta. E.g. '4.2 hours → 12 minutes' or '62% → 91% accuracy'.
Architecture your team can own and maintain.
Honest Go/No-go verdict.
Full documentation package. Architecture your team can own and maintain.
65% reach production, 35% end here.
Measured before/after Delta.
Board-ready business case. Confirmed ROI projection and scaling roadmap.
E.g. '4.2 hours → 12 minutes' or '62% → 91% accuracy'.
THE DELTA METHOD
The Delta saves you money – whether you build or not.
The Delta Method is Codetribe's framework for quantifying the difference between how your operations run today and how they'd run with AI. Not "this process could be more efficient." But "this process takes 4.2 hours per cycle at €85/hour – AI brings it to 12 minutes. Here's the annual value of that delta." Every measurement is built on your data, your workflows, your costs. No benchmarks, no industry averages, no assumptions. The delta is either worth pursuing or it isn't – and both answers save you money.
HOW IT WORKS
Six weeks. Four phases. One honest verdict.
STEP 1
Wire
We connect to your real data sources, define success metrics, and set a measurable baseline. You can't prove improvement if you never measured where you started.
STEP 2
Engine
We build – automated pipeline, predictive model, or AI agent – on your actual data, in your actual environment. Your team can see it, test it, and react to it as it's being built.
STEP 3
Measure
The system runs on real operations. We measure the Delta against the baseline locked in Step 1. Real numbers from real conditions.
STEP 4
Verdict
Go/No-go with full documentation. If the numbers support scaling: board-ready business case, ROI projection, and a production deployment scope ready to execute. If they don't: an honest assessment of what failed and whether it's worth trying again.
PRICING
Scoped to your system. No fixed tiers.
Every Proof Engine is scoped individually based on three factors: data complexity, number of integrations, and system type. A single-source automated pipeline is a different build than a multi-system AI agent – we price accordingly. No subcontracting. Maximum 3 concurrent engagements.
Scoped individually
THE TIMING. THE TEAM.
AI makes your team 40% faster. If you still bill by the hour, that's a 40% revenue cut.
AI capabilities improve 10x every 18 months – what wasn't feasible last year is production-ready now. First movers in your industry are already building. Every failed internal POC burns 12‒18 months of credibility and makes the next one harder to fund. A proven AI model is the only thing that lets you move from billing hours to billing outcomes – before competitors reprice your services for you. The question is whether you prove it with a Proof Engine built on real data – or lose another cycle to a POC that was never designed to give you an answer.
CASE STUDY
Under six weeks to make manual anomaly detection obsolete.
Challenge
Manual shipment anomaly detection was causing delayed responses and compounding operational losses – problems were caught hours too late to act on.
What happened next
The board approved a full Intelligence Layer deployment within 2 weeks of the Proof Engine verdict.
We expected a presentation. Instead we got a working system that outperformed our manual process by 27 percentage points in six weeks. The board didn't need convincing – the numbers spoke for themselves.
FAQ
Three things. First, we build on your real data from day one – not sanitized samples. Second, we define success metrics and a measurable baseline before we start, so the verdict is objective. Third, we deliver an honest Go/No-go – including "don't scale this" when the numbers don't support it. 35% of our Proof Engines get that verdict. The other 65% reach production – vs an industry average of 15%. That's not failure or luck. That's clarity and methodology.
No. If you already know your highest-priority AI opportunity and want to build proof, you can start Proof Engine directly. Signal Scan helps you identify and validate the opportunity. Proof Engine builds it. If you're confident in what you want to build, start here.
The quantified difference between your baseline state and your AI-enabled state. For example: '4.2 hours → 12 minutes' or '62% → 91% accuracy'. It's the number your board needs to make a funding decision – and the number we measure in Week 5 under real operating conditions.
You get a full honest assessment: what didn't perform as expected, why, what would need to change, and whether it's worth pursuing further. 35% of our clients receive this verdict. Every one of them has told us it saved them from a significantly larger, more expensive mistake.
Every engagement requires a senior Codetribe engineer embedded for the full 6 weeks. We limit active engagements to protect quality – not because of capacity. If you're planning a Proof Engine, contact us to check availability.
Most clients move directly into Intelligence Layer – embedding the proven system into production operations. Your Verdict documentation includes a full Intelligence Layer scope, so the next step is already defined. You decide when you're ready to move.
Get your proof.
Six weeks. Real data. An honest verdict you can take to the board.
EXPLORE OTHER PROGRAMS
Stop guessing. One call to know where your AI opportunity actually sits.
The board-ready AI roadmap you've been trying to build for months. Done in 10 days.
A working AI system on your data in 6 weeks or an honest verdict that saves you from a far bigger mistake.
Your POC proved it works. Now build the thing your team can't operate without.
A Chief AI Officer in 2 weeks, at a fraction of the cost. Embedded in your team. Accountable for ROI.
One day. Real workflows. Every person leaves with an AI playbook for their actual job.
