Tier 1
$99
Full written report across all three dimensions. Calibrated to your industry and business model.
Assessments
Role-specific. Business-specific. Scored, not guessed.
For Small Businesses
Most AI risk tools hand you a questionnaire and a generic report. This one is built differently.
The Small Business Defensibility Assessment scores your business across three dimensions. Value Defensibility — how clearly your customers can articulate why they'd choose you over an AI-powered alternative. Not why they like you. Whether that reason is genuinely hard to replicate. Customer Defensibility — how loyal your customers actually are when a cheaper option appears. Operational Defensibility — how much of your business value lives in documented systems versus your personal relationships and knowledge. If it walks out the door with you, it's a liability.
The three scores are combined using a multiplicative formula, not an additive one. That distinction matters. An additive formula lets a strong score on one dimension paper over a collapse in another. The multiplicative structure reflects what is actually true: your business is only defensible if all three dimensions hold. If any one collapses, the others don't save you.
A score of 50 is genuinely borderline. A score of 70 means real structural defensibility. Below 40 means at least one dimension has already partially collapsed — and you need to know which one.
The report is calibrated to your specific industry, business model, and stage. It gives you a prioritized action plan, a 12-, 24-, and 36-month outlook, a competitive benchmark against higher-scoring businesses in your category, a map of where your business is currently owner-dependent, and a read on where your pricing power is most at risk.
Tier 1
$99
Full written report across all three dimensions. Calibrated to your industry and business model.
Tier 2
$199
Full report plus a 30-minute strategy session to work through your top two vulnerabilities directly.
The Methodology
Earlier scoring models produced severely skewed results — a perfectly average input of 5 out of 10 across all dimensions returned a score of 12.5, not 50. The revised formula uses a Cobb-Douglas weighted power function where the exponents sum to 1.0. This guarantees that midpoint inputs always produce a midpoint score. A 50 means borderline. A 70 means defensible. No inflation.
| Input (all dimensions equal) | Old formula | Current formula |
|---|---|---|
| 3 out of 10 | 2.7 | 30 |
| 5 out of 10 | 12.5 | 50 |
| 7 out of 10 | 34.3 | 70 |
| 9 out of 10 | 72.9 | 90 |
Full methodology and measurement science available in two whitepapers — available on request.
For Professionals
The professional assessments apply the same logic at the skill level.
Every skill is scored on three things. Natural Affinity — not whether you enjoy the work, but a composite of three psychologically distinct signals: whether you care about quality in this domain independent of external reward, how often your mind gravitates toward it without being prompted, and how cognitively frictionless the work actually feels. AI Resistance — how replaceable your specific contribution is at your seniority, in your context. A Staff engineer's systems design scores a 2. A junior engineer doing routine operations scores an 8 or 9 on the same dimension. Same skill. Very different answer. Market Demand — whether there is still a viable economic case for this skill, or whether the market has already moved.
The assessment also surfaces two diagnostic flags worth knowing: a Strategic Pause — high affinity, low current investment, meaning you have the wiring but you're not building on it. And a Golden Cage — heavy investment in a skill you're not genuinely wired for, meaning external incentives are driving behavior that may not hold.
AI is advancing fastest in diagnostics, imaging, and documentation.
Take the assessment →Copilot and code-generation tools have already changed what junior work means.
Take the assessment →Modeling, reporting, and compliance work are the first to compress.
Take the assessment →Generative design tools are moving faster than most practitioners realize.
Take the assessment →AI-assisted prospecting is table stakes. The question is what comes next.
Take the assessment →Discovery, documentation, and roadmapping are all in motion.
Take the assessment →The weights in the scoring formula are literature-informed hypotheses, not empirically validated coefficients. They haven't yet been tested against longitudinal career outcome data. The correct scientific description is "theoretically motivated priors pending empirical validation."
That said: the scale is mathematically honest, the framework is grounded in decades of vocational psychology and multi-criteria decision theory, and the AI replaceability scores are calibrated to your specific profile — not a job category table. Most tools in this space don't show you the methodology at all. Two whitepapers documenting the full scoring and measurement science are available on request.
Start with whichever assessment fits your situation.