Wrong Tool
For example, a $500K ML platform for a problem a $5K automation could solve. Check the operating need before committing to the platform.
AI Profit Quotient™ - Your AI Diagnostic Guide
Find where AI will pay back before you buy.
Most companies buy the wrong AI tool because nobody told them which problem they're actually solving. This 12-question diagnostic tells you exactly where your problem sits on the AI spectrum and what to do about it.
From $147$93· or $247 with a 30-min strategy call
Why most AI investments miss
Wrong Scope
You scoped the entire workflow. The real bottleneck was one step. 6 months and twice the budget later, you're back at the same table.
Wrong Vendor
You can't evaluate 3 proposals if you don't know what you actually need. The vendor who talks most wins. Not the right vendor.
Wrong Pitch
You said “AI” to the board. They heard “experiment.” You didn’t get a budget freeze — you got a 12-month question mark.
What the diagnostic does
- 01
Map the Stack
12 questions map your business context — industry, function, data state, decision-maker type — to your position on the AI spectrum. Rules-based. BI/Analytics. Predictive ML. Generative AI. You'll know which category fits, and why.
- 02
Rank the Opportunities
Your Top 10 AI use cases, ranked by what's executable given your data, team, and goals. Plus your Top 3 with a plain-English brief: what it does, what it needs, what success looks like.
- 03
Build the Sentence
One sentence. Personalized to your role, your problem, and your data situation. Not a generic AI pitch. The sentence that stops the budget freeze.
2.7×
Automotive conversion: 4% → 11%.
A separate automotive engagement from the 5× lead-conversion case. We restructured decisions using the existing infrastructure.
This approach comes from delivery work across telecom, retail, manufacturing and automotive. We kept finding the same problem: the tool had been chosen before the operating decision was clear. The diagnostic puts that decision first, before anyone buys or builds.
No model swap. No new data. Just the right diagnosis at the start.
They ran the diagnostic. Here's what changed.
“Without first understanding whether AI is truly needed for your use case and what ROI it can deliver, it's difficult to create real value. The Quickscan gives you exactly that: a clear answer before you commit a dollar.”
★★★★★
“We came in thinking GenAI is all there is. The diagnosis completely changed that — gave us a toolbox and a pathway to find, select, and prioritise with a realistic ROI vision. From zero.”
★★★★★
“I'd been sitting on three vendor proposals for two months. Couldn't tell which one was actually solving our problem versus selling me a platform. The Quickscan cut through it in 48 hours — one use case was real, two were noise. That clarity alone was worth it.”
★★★★★
3 ways in
Free Preview
Free
See where you sit. Decide if the full picture is worth $93.
- Answer 12 questions (same diagnostic)
- Your AI spectrum position — which of the 4 layers your business sits on
- 2-line explanation of what that means for your next decision
- Your Top 10 ranked use cases
- Top 3 with plain-English brief
- Your board-ready sentence
Full Report
$93
The complete diagnosis. No fluff.
- Everything in Free Preview
- Top 10 AI use cases ranked by feasibility and ROI impact
- Top 3 with a full brief: what it does, what it needs, what success looks like
- One board-ready sentence personalized to your role and problem
- Report in 5 minutes
Recommended for $50K+ decisions
Report + Strategy Call
$247
Pressure-test your shortlist before the board.
- Everything in Full Report
- 30-minute strategy call to pressure-test your Top 3 against real constraints
- Call recording included
- Vendor evaluation criteria for your shortlisted use case
Most clients choosing a use case above $50K pick the call. The report is your reference map; the call helps you navigate the map.
Before you buy
See it before you pay.
The AI Profit Quotient is a digital report built from your answers, so it is non-refundable once delivered. Start with the free preview to see where you sit and what the report looks like. If your report does not arrive or does not fit your situation, email us and we will regenerate it.
FAQ
Common questions
Is this personalized or a template?
Every report is generated from your specific answers. Same questions, different inputs => different output. 2 COOs in different industries get different Top 10 lists.
Free Preview, Full Report, or Report + Call — which one?
Free Preview if you want to test the methodology before committing. Full Report if you're self-sufficient and ready to act on a ranked use-case list. Report + Call if you're about to make a use-case decision above $50K, or you've already picked a use case and want someone to stress-test it before you take it to the board.
How long until I get the report?
Free Preview: in 5 mins. Full Report: 5–10 minutes after form submission. During beta, up to 24 hours if there's a queue. You'll get an email either way.
What if the output doesn't fit my situation?
We'll regenerate it. One email. No forms. The report is non-refundable once delivered.
Can I retake it after things change?
Yes. Many clients retake after a failed pilot or a major org change. The spectrum position often shifts. Your Top 3 definitely shifts. Just send an email to get a revised report, or book a call to get it personalized to your needs.
How do I know which AI use case to start with?
Start with the use case that matches 3 conditions: your data is clean enough to act on, the problem has a measurable P&L impact, and there’s internal ownership. Most organizations skip condition 3 — a use case without a named decision-maker never gets built. The APQ diagnostic surfaces all 3 gaps per use case.
What is the A.R.T. and how does the diagnostic use it?
Applicability, Readiness, Transformation: assess whether AI is needed, whether the data is sufficient, whether the method fits the problem, and whether the infrastructure can support it. Define the operating decision and the business result before committing to a build.
What is the AI spectrum and where does my business sit?
The AI spectrum runs from rules-based automation (if/then logic, no training data required) through business intelligence and analytics, predictive machine learning, and generative AI at the far end. Most mid-market businesses overestimate where they sit. They try to implement ML or generative AI on problems that a rules-based tool would solve — at a fraction of the cost and timeline. The diagnostic places you accurately before you commit budget.
Why do most AI investments fail to show ROI?
3 common failure modes are a use case that does not match the business problem, the wrong layer of the AI stack, and an unrealistic timeline. The APQ diagnostic tests use-case and method fit before a vendor is engaged.
What is an AI strategy audit and do I need one?
The APQ diagnostic is the entry point: it surfaces potential use cases before a build. A Logic Leak Audit, from $3,000 and priced on scope after a free Clarity Call, validates them against your real data, team and vendor landscape. It audits your AI, data and system maturity, takes 1–2 weeks depending on scope, and delivers a data roadmap, tech audit, problem reframe and a 4-quarter AI roadmap for growth and savings.