PMF ENGINE
How To Go From Watching AI Pilots Stall, Drag Engineering Resources, And Burn Runway…
To Knowing Exactly Which Pilots Will Convert To Production
- By Using The Signal Scorecard -
In 14 Days Or Less
B2B AI startups run pilots that look promising - but never convert to production contracts. The Signal Scorecard system changes that so you can make real production revenue quickly.
Watch: How the Signal Scorecard predicts pilot-to-production conversion
What Every Funded AI Founder Knows...
Millions in venture capital are fueling AI pilots that never survive the production gate.
And what comes next is creating the biggest graveyard of seed-stage AI startups this decade has ever seen.
80%+ HAVE PILOTED AI
<5% IN PRODUCTION
42% ABANDONING INITIATIVES
And yet...
You're probably still counting pilot revenue as traction.
You've probably celebrated "landing" a Fortune 500 logo - funded by their innovation budget that gets cut next quarter.
You've probably told investors "we have X paying customers" when most of them are running experiments with no path to an operations line item.
Or tried "scaling sales" because a few champions were excited - only to watch those champions leave and those deals die
It's time to be honest with yourself:
those pilots aren't PMF. They're expensive auditions - and the audience hasn't committed to the show.
The reality? Social media gurus and growth advisors telling you to "scale founder-led sales" or "hire your first AE" are giving you a playbook for a stage you haven't earned yet. It's not a sales problem - it's a signal problem.
The real question isn't "how do I get more pilots?"
The real question is: "Which of my pilots will actually survive the production gate - and which ones are burning runway on budget sources that will disappear?"
If you're tired of:
GETTING PILOTS THAT NEVER CONVERT
INVESTORS SAYING YOU DON'T HAVE REAL PMF
WAKING UP AT 3AM WONDERING IF YOU'LL MAKE IT
GETTING PILOTS THAT NEVER CONVERT
INVESTORS SAYING YOU DON'T HAVE REAL PMF
WAKING UP AT 3AM WONDERING IF YOU'LL MAKE IT
...then it's not a traction problem. It's a budget source problem.
Most AI startups don't die from lack of interest. They die from interest funded by the wrong budget - innovation spend, transformation initiatives, discretionary "try AI" money - that was never designed to survive the production gate.
Last year, innovation budgets made up 25% of enterprise LLM spending. Now it's just 7%. The shift has already happened. If your pilots aren't wired for operations budgets, you're building on sand.
Pilots Don't Just Run.
They Convert When Production Prerequisites Are Built In.
Think about it: every pilot that "stalled" in your pipeline had the same story. A champion was excited. Usage looked promising. Then the budget cycle hit, the champion moved roles, procurement asked questions nobody had answers to - and the deal quietly died.
It's exhausting. It's inconsistent. And it's not your fault.
Our system is different.
We install a Signal Scorecard that measures what actually matters - not vanity adoption metrics, but budget source durability, stakeholder depth, procurement readiness, and workflow embedding. Then we redesign your pilots so production prerequisites are wired in before the pilot even starts.
The result? You stop celebrating pilots and start converting them - with decision artifacts you can defend to your investors, your team, and yourself.
Built For You Even If:
You're a technical founder who's never run a structured sales process - we make founder-led sales repeatable, not replace it.
You've been told "just scale" by people who don't understand B2B AI buying cycles - we start with evidence, not assumptions.
You've tried advisors who gave you generic SaaS playbooks - this system is built specifically for the pilot-to-production gap that kills AI startups.
From 2× Exited Founder to Building the Operating System for AI PMF Decisions
It started with a problem I lived firsthand.
As a technical founder (CTO and CEO across two startups, both with product asset sales), I watched the same pattern destroy companies from the inside.
Pilots looked like traction. Dashboards showed usage. Investors nodded along. But nothing converted to production revenue that survived the next budget cycle.
I saw it in my own companies. I saw it in the startups around me. And I saw it validated at scale - a named major South American TV network contract that proved what production deployment actually looks like versus what pilot theater pretends to be.
Fast forward: that hard-won pattern recognition became PMF Engine. A diagnostic-first system built on one thesis:
pilot revenue is at-risk until production. We don't just help you "understand PMF." We install a Signal Scorecard, map every deal to its budget source, and deliver a written stop/go decision - so you stop scaling noise and start scaling signal.
Backed By Data
Our thesis is backed by the most rigorous AI market research available.
95%
OF AI PILOTS DELIVER NO MEASURABLE P&L IMPACT (MIT 2025)
S&P Global 2025
The share of companies abandoning most AI initiatives jumped from 17% to 42% year over year.
Gartner 2025
At least 30% of generative AI projects will be abandoned after proof of concept by end of 2025.
a16z State of AI
I can now focus on clients coming in and doing what I love.
a16z State of AI
Innovation budgets dropped from 25% to just 7% of LLM spend. Buyers are shifting to core budgets.
Bessemer / Intel Capital
Top investors now formally separate "experimental ARR" from "durable ARR" when evaluating AI PMF.
Seed→Series A
Only 15.4% of 2022 seed cohort raised Series A within 2 years - down from 30.6% in 2018.
Our diagnostic has been built for:
B2B AI startups with 3+ pilots and low production conversion rates
Funded founders ($500K–$5M raised) still in founder-led sales
Technical CEOs/CTOs ready to stop guessing and start measuring what actually converts
Everything we do is phase-gated, data-driven, and built on input enforcement - no engagement continues without
GUARANTEE
YOUR DECISION CLARITY, GUARANTEED
We stand behind the diagnostic.
That's why we include our "Artifact Delivery Guarantee":
"If you fully participate and we can't deliver your Signal Scorecard baseline, Budget Source Map, and written stop/go recommendation, we
extend up to 1 week at no cost to complete it - or refund the Diagnostic fee."
NO HIDDEN FEES. NO PRESSURE TO CONTINUE. JUST DECISION ARTIFACTS YOU CAN DEFEND.
Ready to see what your pilot-to-production reality actually looks like?
Tap below to book your Diagnostic call.
How the S.C.O.R.E. Technique Identifies
Your Pilot-to-Production Blockers in 14 Days
You don't need more pilots or more pipeline.
You need a system that separates signal from noise - and tells you exactly where to focus. That's exactly what the SCORE technique does. Here's how it works :
You Might Be Wondering...
Frequently Asked Questions
Will this actually work for my startup?
If you're a funded B2B AI startup with 3+ pilots and conversion rates below 30%, this diagnostic was built for your exact situation. We assess your specific deals, budget sources, and pipeline - not generic advice. The only requirement is willingness to provide deal context and do structured customer conversations.
What exactly do I get from the Diagnostic?
Three concrete artifacts: (1) A Signal Scorecard Baseline showing red/yellow/green status across workflow embedding, budget durability, and production survivability. (2) A Budget Source Map tagging every deal by budget type, owner level, and conversion risk. (3) A 1-page Pilot-to-Production Blockers Memo with your top 5 conversion hypotheses. Plus a written stop/go recommendation.
How long does it take to start?
Once we confirm fit, we kick off within the week. The full Diagnostic runs 2 weeks: Week 1 is context gathering and audit. Week 2 is customer interviews, assessment, and your stop/go gate decision call.
How fast will I see results?
You'll have your Signal Scorecard baseline, Budget Source Map, and written stop/go decision within 14 days. This isn't a "let's see what happens" engagement - it's a structured diagnostic with defined outputs and a hard decision point.
What if I'm not sure we even have a conversion problem?
That's exactly what the Diagnostic answers. If your pilot-to-production conversion is below 30%, or if "production" isn't clearly defined across your deals, there's a measurable gap we can identify. We don't assume the answer - we measure it.
What if we've tried other advisors or frameworks and they didn't help?
Most PMF frameworks focus on finding signal in early usage data. We focus on the production gate - the specific point where pilots die. Our approach is artifact-based with phase gates and input enforcement. If the data doesn't support continuing, we tell you. We don't sell ongoing engagements when the evidence says stop.
What happens after the Diagnostic?
If the Diagnostic shows a coherent path forward, you can optionally continue into a 90-day Clarity Sprint. If it doesn't, you stop - no pressure. The Week-2 stop/go gate is the mechanism. About a third of engagements may result in "pause" or "stop" recommendations. We consider that a success, not a failure.
How much time will this take from my team?
Plan for 2-3 live calls (60 minutes each) plus async support via Slack. You'll need to provide deal context - pipeline data, pilot terms, stakeholder maps - and complete 3-5 customer interviews in Week 2. Total founder time: roughly 6-8 hours across 2 weeks.
How is this different from hiring a growth advisor?
Growth advisors help you scale. We help you figure out whether you should scale, narrow, or stop - before you waste resources on the wrong motion. This is a diagnostic, not an execution engagement. We produce decision artifacts, not marketing campaigns.
Is $5,000 worth it at our stage?
At a $100K/month burn rate, 2-3 months chasing the wrong ICP costs $250K. A single wasted pilot cycle costs $150K in opportunity cost. The Diagnostic costs $5,000 at our founding rate and delivers clarity in 14 days. The question isn't whether you can afford it - it's whether you can afford another quarter without it.
Why Now? Because Runway Doesn't Wait
Every week that passes is another week burning cash without production clarity.
Another month of pilots that look like progress but don't convert.
Another quarter of investor conversations you can't back with durable metrics.
And every AI startup in your space is facing the same shakeout.
Here's What You Need to Know:
We're only taking 5 founding clients. Because every Diagnostic is personally delivered by a 2× exited founder, capacity is strictly limited to 6 active engagements at any time.
Innovation budgets are disappearing - down from 25% to 7% of LLM spend. If your pilots aren't converting to operations budgets now, the window is closing. The buyers who were willing to experiment are moving to committed production - with or without you.
This is your chance to know whether to scale, narrow, or stop - before your competitors figure out their own production playbook. Don't wait until the next board meeting to find out your pipeline was experimental.
THE REAL COST OF DOING NOTHING?
Wasted runway on pilot theater
Investor confidence eroding
Competitors converting while you're still "exploring"
And the longer you wait,
the harder it is to catch up.
42% OF COMPANIES
Now abandoning most AI initiatives before production (S&P Global 2025)
15.4% SEED→SERIES A
Graduation rate - down 50% from 2018
Yours doesn't have to be a statistic - if you act now.
Lock in your founding client rate before all 5 spots are taken.
What Happens When You Book Your Call :
STEP 01
Audit Your Pilot Portfolio
We'll map every pilot to its budget source, owner level, and conversion status
STEP 02
Score Your Production Signal
We run your deals through the 3-layer Signal Scorecard to find exactly where conversion breaks.
STEP 03
Get Your Stop/Go Decision