The 2025 AI revenue reset is here. Compute-priced models are losing to value-priced ones — and AI-tourist churn is masking which revenue is actually durable. We diagnose both, to the dollar, in hours. All the answers, none of the meetings.
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The 2025 AI pricing reset · compute vs value

Great model. Now make the revenue match it.

We diagnose the three leaks AI founders almost never see: revenue priced on compute instead of value, AI-tourist churn inflating your logo count, and inference costs quietly eating your gross margin — to the dollar. Insight in hours, not weeks of discovery calls. Start free: a 2-minute Revenue Leak Snapshot sent to your inbox.

or see a real sample report →
Intake Review · AI Diagnostic Sample
$890K
/yr modeled leak · illustrative $4M-ARR AI startup sample

Pricing (compute vs value)$420K
AI-tourist churn / GRR$280K
Inference margin erosion$190K

Revenue health score48 / 100
Your diagnosis, not your calendar 18 frameworks ⚡ 6-hour VIP delivery Useful, or we rework it Cited 2025-26 benchmarks
The pain in one number
Churn ~43%

Median gross churn across early-stage AI startups sits around 43% — driven largely by "AI tourists" who try once, never commit, and quietly deflate your cohort. Investors now look past the logo count to which revenue is actually durable.

Source: a16z AI benchmarks 2025 · Bessemer State of the Cloud 2025

Included in your $450 Starter

AI Governance & Compliance Readiness Map

EU AI Act, NIST AI-RMF, and AI-governance gaps don't block you from selling — they block you from closing enterprise deals. We map which gap is parking which deal. Not an audit. Not a certification.

This is a readiness mapping exercise: we identify which governance or compliance gap is holding up which category of enterprise contract, and what you would need to address it. We do not certify you, we do not make you compliant, and we do not replace a specialist compliance consultant.

What this is: A gap-to-deal-blocker map, included in your $450 Starter — specialist compliance consultants charge $15k–$50k for this scoping alone.
EU AI Act · GPAI & High-Risk

EU AI Act Readiness

Gap Enterprise deal it blocks Why it matters
No AI system risk classification Any EU enterprise procurement >$50K ACV EU buyers must classify AI systems under Art. 9 before legal sign-off; no classification = no contract
Missing transparency documentation Regulated-sector enterprise (financial, HR, legal) GPAI Art. 53 requires documented training data, capabilities, and limitations; regulated buyers cannot accept undocumented AI
No human-oversight controls documented Public-sector and large-enterprise EU contracts High-risk AI must have human oversight mechanisms (Art. 14); absent documentation stalls InfoSec review
No technical documentation file Any enterprise requiring legal/vendor due diligence Art. 11 + Annex IV requires a standing technical file; buyers increasingly request it pre-signature
Honest line: The EU AI Act's high-risk obligations apply to specific use cases (HR, credit, law enforcement, critical infrastructure). We map which classification your product likely falls into — so you know whether your prospect's legal team will flag it before the deal closes, not after.
NIST AI-RMF · GOVERN / MAP / MEASURE / MANAGE

NIST AI-RMF Readiness

Gap Enterprise deal it blocks Why it matters
No AI risk register or taxonomy US federal, defence, and large-enterprise InfoSec review NIST GOVERN function requires a documented risk taxonomy; InfoSec teams at enterprise buyers ask for it at security questionnaire stage
No bias / fairness testing documented HR-tech, lending, hiring, and healthcare enterprise buyers NIST MAP requires bias and fairness characterisation; regulated buyers have board-level liability without it
No incident response / model-failure playbook Fortune 500 / public-sector multi-year contracts NIST MANAGE requires documented incident and model-failure response; procurement teams block contracts where this is missing
No model performance monitoring plan Multi-year enterprise SaaS contracts >$100K ACV NIST MEASURE requires ongoing performance metrics; buyers need assurance the model doesn't silently degrade post-signature
Honest line: NIST AI-RMF is a voluntary framework in the US — but enterprise procurement teams at banks, healthcare systems, and government contractors treat it as a de-facto vendor requirement. We map which functions your documentation satisfies and which create friction at the deal stage. We scope the gap; a compliance specialist executes the remediation.

Included in your $450 Starter. Specialist AI governance and compliance consultants charge $15k–$50k for this scoping engagement alone — we surface the deal-blocking gaps in the same diagnostic. The scope we deliver is a map of which gaps exist and which enterprise deals they are parking. Actual compliance remediation is executed by your legal counsel or a specialist consultant; what we give you is the roadmap they need to start.

Pricing

Priced by the value it unlocks.

One-time. No retainer, no meetings. Start free with the Revenue Leak Snapshot. The $450 Starter is flat at any size; the full diagnostic is leak-anchored and follows the higher of your ARR or headcount — each tier lands at roughly 0.5% of what an AI startup your size is typically bleeding.

Starter
Any size · fast first read
$450one-time · flat, any size · delivered in 48-72 hours
The 3 most painful AI frameworks on your real numbers — plus the AI governance-gap-to-deal-blocking map. Pricing verdict, cohort split, inference teardown. Sharp first read before the full diagnostic. vs $15K–$50K specialist consultants charge for the AI governance scoping alone.
What you get
  • 3 deepest AI frameworks — all 18 scored
  • Your total revenue-leak figure
  • AI governance-gap → deal-blocking map
  • AI-tourist cohort split + inference-margin teardown
  • Board-grade PDF in 48-72 hours
Get the Starter read Card · Apple Pay · Google Pay — via Wise
Essentials
Under $1M ARR · full diagnosis
1% gain ≈ up to $10K/yr at your scale
$900one-time · ⚡ 6-hour VIP delivery
Seed to Series A. The full board-grade diagnosis — dollar-precise on every framework, priced to your stage. About 0.5% of the ~$675K–$1.35M a sub-$5M-ARR AI startup is typically bleeding.
Everything in Starter, made complete
  • All 18 frameworks, fully scored
  • Every leak quantified in dollars
  • Full AI governance-deal pipeline map
  • Value-based pricing reset modeled
  • 90-day roadmap + risk heatmap
  • Executive summary + health score
  • Board-grade PDF, ⚡ in 6 hours (VIP)
Start the diagnostic Card · Apple Pay · Google Pay — via Wise
Founder
Under $5M ARR · 1-25 people
1% gain ≈ $10K–$30K/yr at your scale
$4,500one-time · ⚡ 6-hour VIP delivery
Seed to Series A. The full board-grade diagnosis — dollar-precise on every framework, priced to your stage. About 0.5% of the ~$675K–$1.35M a sub-$5M-ARR AI startup is typically bleeding.
Everything in Starter, made complete
  • All 18 frameworks, fully scored
  • Every leak quantified in dollars
  • Full AI governance-deal pipeline map
  • Value-based pricing reset modeled
  • 90-day roadmap + risk heatmap
  • Executive summary + health score
  • Board-grade PDF, ⚡ in 6 hours (VIP)
Start the diagnostic Card · Apple Pay · Google Pay — via Wise
MOST POPULAR
Growth
$5M-$25M ARR · 25-100 people
1% gain ≈ $30K–$150K/yr at your scale
$9,000one-time · ⚡ 6-hour VIP delivery
Series A to B. The full diagnosis plus a deeper pass, sized to a scaling AI team. About 0.5% of the ~$1.35M–$2.25M a $5M–$25M-ARR AI startup is typically bleeding.
Everything in Founder, plus
  • A deeper, multi-pass analysis
  • AI-sector peer benchmarking (cited ranges by stage and ARR band)
  • Revenue recovered, modeled per fix
  • Full fix backlog, ranked by impact
  • 30-day written follow-up for clarifications
  • Board-grade PDF, ⚡ in 6 hours (VIP)
Start Growth Card · Apple Pay · Google Pay — via Wise
Scale
$25M-$50M ARR · 100-200 people
1% gain ≈ $150K–$500K/yr at your scale
$18,000one-time · ⚡ 6-hour VIP delivery
Series B+. Everything in Growth, at the depth a mature AI org needs. About 0.5% of the ~$3M+ a $25M–$50M-ARR AI startup is typically bleeding.
Everything in Growth, plus
  • 3-scenario financial modelling (bespoke, scoped at engagement)
  • Implementation guidance on your top 3 fixes
  • Senior written strategic debrief
  • Priority delivery + extended written Q&A
  • Board-grade PDF, ⚡ in 6 hours (VIP)
Start Scale Card · Apple Pay · Google Pay — via Wise

Priced to the value on the table. Your tier follows the higher of your ARR or headcount, confirmed at intake — so a larger company never buys a smaller tier. Each full-diagnostic tier is leak-anchored at roughly 0.5% of the revenue an AI startup your size is typically bleeding: Growth $9,000 ≈ 0.5% of the $1.35M–$2.25M you are likely leaking. The bigger the company, the deeper the pass and the more we recover. $50M+ ARR or 200+ people → direct enterprise scope.

The Revenue Integrity System for AI Startups

Five frameworks built for the questions every AI investor actually asks.

Not a generic GTM lifecycle. The 3 most painful frameworks below are the exact questions your next term sheet is priced on. Your $450 Starter pins these 5; the full $4,500 Diagnostic runs all 18.

F1
Pricing — compute vs value
Are you charging for what it costs you to run, or for the human cost you remove from the customer?
AI companies repricing to value capture 30–50% ARPU lift · compute-priced = software multiple
F2
AI-tourist cohort split
Which of your logos are committed customers vs curious tourists who were always going to leave?
AI startup churn ~43% · GRR by tier: <$50/mo ≈23% · $50–249 ≈45% · >$250 ≈70%
F3
Inference margin teardown
What is your real gross margin after model and inference spend, and is it above the ~45% AI-native median?
AI-native gross margin median ~45% · sliding 8–15pp on inference COGS · investor floor
F4
GTM — the right buyer
Is outreach aimed at the economic owner of the cost you remove, or the technical champion who loves the demo?
Wrong buyer = 2–4x longer cycles · depressed ACV · pipeline that looks healthy but does not close
F5
NRR & expansion
Where exactly is NRR leaking — tourist churn, flat expansion, or under-monetised committed customers?
NRR funding bar 110%+ · below 100% = shrinking base before a single new sale

The complete 18-framework system

The five above are the sharpest for AI founders. They sit inside an 18-framework revenue system — 14 core revenue frameworks plus 4 AI signature frameworks. = the five your $450 Starter targets first.

Pricing & Monetization
Pricing & Monetization
Pricing Psychology & WTP
Positioning & Pricing Power
Revenue Operations
Retention & Expansion
Gross Retention & Churn
Net Revenue Retention & Expansion
Activation & Onboarding
Product-Market & Expansion Surface
Unit Economics & Capital
Unit Economics & CAC Payback
Financial Health & Burn
Capital Efficiency & Runway
GTM & Growth
GTM & Funnel Efficiency
Growth Levers
Competitive & Market Position
AI Signature
AI Governance & Regulatory Readiness · ai
Inference-Cost Margin Leak · ai
Model Evaluation & Quality-Drift Risk · ai
Training-Data Rights & IP Provenance · ai
Try it on your numbers

Estimate your AI revenue leak in 30 seconds.

Four inputs, one estimate. Not a substitute for the full diagnostic — a directional preview from AI startup benchmarks.

50/100
Estimated annual recoverable
$0
Run My Revenue Diagnostic →
5 questions · no call, ever · directional preview only

Most AI founders know something is wrong. They just don't know what.

These are the five revenue leaks we find most often — and quantify, to the dollar — in the AI diagnostic.

Priced on compute, not value

Charging per token or per seat while the product removes a $90K analyst or a $200K agency retainer. The gap between compute cost and value delivered is almost always $200K–$600K a year.

AI-tourist churn inflating the cohort

High sign-up counts hide two very different customers: committed users who embed the product, and curious "tourists" who tried once and left. When tourists churn at ~43%, the retention number looks like a product problem. It isn't.

Inference costs eating gross margin

AI-native gross margins slide 8–15 points on inference and model spend — quietly turning a SaaS-grade business into a services-grade one. The ~45% AI-native median is the investor floor.

GTM aimed at the wrong buyer

The most common AI go-to-market failure: selling to the technical champion who loves the demo, not the economic owner of the cost you remove. Wrong buyer means longer cycles, lower ACV, and a strong product that looks like a weak business.

NRR below the 110% funding bar

The benchmark every term sheet is now priced on is 110%+ net revenue retention. Below that, growth is subsidised by new logo acquisition — and investors discount it heavily at the Series A and beyond.

How it works

Three steps to your diagnosis.

From free scorecard to the full $4,500 diagnostic, the path is identical. Only the depth scales with the price.

1

Fill the form

5 questions for the free scorecard, 18 for the full Founder diagnostic. 5–15 minutes. No call required, ever.

2

We diagnose

18 frameworks anchored to your AI firmographics (stage, ARR, pricing model, inference spend, governance posture). Cited 2025-26 AI benchmarks. Dollar-quantified findings where your data allows; AI governance gaps mapped directionally to deal categories.

3

PDF in inbox

Board-grade PDF 6-hour VIP delivery — including the AI governance readiness map for EU AI Act & NIST AI-RMF. Depth scales by tier. Async, async, async.

A look inside

What an AI founder gets.

A real preview of a 22-page Founder diagnostic — cited benchmarks, dollar-quantified findings, pricing-model verdict, AI-tourist cohort split, inference-margin teardown. No fluff.

Download the full sample report (PDF) ↓

Sample · Seed-stage AI startup · $4M ARR · compute-priced

Churn reading as product failure. It's a tourist problem. Pricing is the wrong model.

Pricing verdictReprice to value (human cost replaced)
Tourist cohort GRR (<$50/mo)~23% vs 70% committed
Gross margin after inference38% vs ~45% AI median
NRR vs 110% funding bar-18 pts
Annual leak (verified)$890K / yr
Leak by framework
$890K
/yr - if unaddressed at current ARR run rate
PricingCohortMarginGTMNRRActiv.CAC
vs the traditional route

The same answer, at 4–66x under the rate card.

Every comparable below is a real public price for the same category of deliverable. We sit below the floor of every one.

The traditional alternative What it costs (2025-26) Intake Review
AI-GTM advisor / fractional (hourly) $5,000 - $15,000 $450 Starter
AI governance / compliance readiness consultant $15,000 - $50,000+ Included in $450 Starter
Boutique AI revenue diagnostic $20,000 - $25,000 $4,500 Founder
Fractional CRO / GTM lead retainer $9,000 - $25,000 / month $9,000 Growth
McKinsey / BCG / Bain engagement $1.2M+ (8 weeks) $18,000 Scale
Run My Revenue Diagnostic See the four tiers →
Honest screening

Is this a fit for you?

We say no to roughly 1 in 4 inbound requests. Here is why.

This is NOT for you if you...

  • Are pre-revenue or pre-product. We need shipped model, real users, real usage data.
  • Want slide decks. We deliver a structured written PDF — no PowerPoint theater.
  • Need synchronous calls, weekly standups, or a Slack channel. Delivery is 100% async.
  • Sell B2C only. The frameworks are calibrated for B2B AI and AI-native SaaS.
  • Are pre-PMF with no clear ICP. The diagnostic optimises existing motion — it does not find PMF for you.
  • Want commitment beyond the diagnostic. No retainer pressure, no upsell tactics.

This IS for you if you...

  • Run a B2B AI startup at $500K–$25M ARR with a shipped model and paying customers.
  • Suspect your pricing is set to compute, not value, but can't quantify the gap.
  • Want to know which revenue is durable and which is AI-tourist noise — in dollars.
  • Want findings dollar-quantified, not directional ("you should think about pricing").
  • Value in-days async delivery over multi-week consultant engagements.
  • Want a senior systems thinker on your specific model and market, not a junior template.
Our promise

We don't stop at "delivered." We stop at "useful."

A report you can't act on is just a PDF. So your diagnostic isn't finished when we hit send — it's finished when it earns a place on your desk. If a finding doesn't hold up, a number needs sharpening, or you're missing an input to make it precise, we rework it for free until it's something you'd actually move on. No refund-and-run: we keep going until it's useful to you.

We name the exact numbers to capture We re-run and deepen the diagnosis We don't quit until you can act on it

Used by SaaS companies at your stage to identify hidden revenue leakage.

Questions, answered

The 9 things every AI founder asks.

See your AI revenue leak score.

5 questions. 2 minutes. Free.
No email wall · 2 minutes · clarity, not a sales call.
Cited 2025-26 AI benchmarks

Every dollar figure and ratio in our diagnostic is anchored to a public, verifiable source. Primary references:
a16z AI benchmarks 2025 · Bessemer State of the Cloud 2025 · OpenView AI pricing report 2025 · Sequoia AI market analysis 2025 · ChartMogul SaaS retention 2025 · Software Equity Group AI index 2025