The Pitch
One-paragraph description
INNAIT is the first workforce readiness platform that measures what AI cannot replace. Using a 24-question psychometric assessment grounded in the MIT SLOAN EPOCH Framework and WEF Future of Jobs research, INNAIT produces a personalized AI Exposure Score, Human Edge Score, and INNAIT Score — giving professionals a precise diagnostic of their displacement risk and a personalized Irreplaceability Roadmap to act on it. Unlike generic career quizzes, INNAIT uses behavioral anchoring, forced-ranking questions, convergent validity checks, and social desirability detection — the same techniques used by professional psychometric instruments. The assessment takes 6 minutes and delivers the only score that tells you exactly where you stand before AI makes the decision for you.
Key Facts
The numbers
24
Questions in the assessment
3 SD detection + 21 scored
6
Human Edge dimensions measured
AI cannot replicate any of them
6 min
To complete the full assessment
Faster than most LinkedIn profiles
$9
One-time roadmap unlock
No subscription required
300M
White-collar jobs at displacement risk globally
Goldman Sachs, 2023
85%
Of organizations have no AI readiness data
WEF Future of Jobs, 2025
2026
Year INNAIT launched
innait.ai
0
Other platforms measuring this
First mover. No direct competitor.
Story Angles
What makes INNAIT a story
1
The first personal AI displacement score — and what it reveals
INNAIT has assessed hundreds of professionals. The findings are counterintuitive: the roles people assume are safe often aren't, and the dimensions that protect people aren't what HR training programs are building. The data is genuinely surprising.
2
Why most AI career advice is wrong — and what the science actually says
The mainstream narrative about "learning to use AI tools" misses the point. INNAIT's methodology — grounded in MIT SLOAN research and validated psychometrics — shows that AI fluency is only one variable. The bigger protection is the dimensions AI cannot touch regardless of how sophisticated it gets.
3
The Duolingo for career survival — gamifying AI readiness
INNAIT is building toward a living score that updates monthly, a streak mechanic for Human Edge development, and peer leaderboards by role and industry. The insight: fear of displacement is more motivating than desire for growth. The product is designed around that psychology.
4
What 10,000 assessments reveal about which jobs actually survive AI
The workforce readiness story of the decade — told through data from real professionals across industries, roles, and experience levels. INNAIT is building the largest dataset of human-edge measurement in the context of AI displacement. [Available after 10K assessments.]
5
HR leaders can't answer the question their boards are asking
78% of HR leaders report being asked about AI workforce readiness by their CEO or board — and most have no data-driven answer. INNAIT gives organizations an AI Credit Score (AAA–DDD) that puts a board-ready number on the question everyone is asking but nobody can answer.
Methodology
Why this is different from a quiz
Situational Judgment Test format
Industry standard for behavioral measurement. The same format used by Korn Ferry, DDI, and Hogan. Scenario-based questions with no obviously "right" answer — designed to reveal actual behavioral patterns, not aspirational self-image.
✦ SJT Validated
Forced ranking
Three of the 24 questions use drag-to-rank mechanics rather than single selection. This eliminates the ability to select "all positive" answers and forces genuine prioritization — dramatically reducing social desirability bias.
✦ Anti-Gaming
Behavioral anchoring
Key questions use "in the last 12 months" and "in the last 90 days" framing — asking about actual behavior rather than hypothetical preference. What people have done is a significantly stronger predictor than what they say they would do.
✦ Frequency Anchored
Convergent validity
Each major dimension is measured by multiple questions approaching it from different angles. Inconsistent answers between convergent questions trigger a scoring flag — catching people who perform consistently on some questions but not others.
✦ Cross-Validated
Social desirability detection
Three embedded calibration questions identify impression management. Each contains one response that is statistically near-impossible over a real career. Two or more flagged responses trigger a credibility calibration adjustment and a transparency note to the user.
✦ SD Detection
Framework grounding
The six Human Edge dimensions are grounded in the MIT SLOAN EPOCH Framework for human-AI collaboration, WEF Future of Jobs taxonomy, and O*NET occupational data. The AI Exposure scoring draws on Goldman Sachs displacement research and Brookings Institution workforce analysis.
✦ Research-Based
Brand Assets
Logo usage
INNAIT
Primary — Dark Background
INNAIT
Reversed — Light Background
IN
Mark / Favicon
Primary color: #c8f060 (lime) ·
Background: #0a0908 (near-black) ·
Text: #f5f0e8 (warm white)
Boilerplate
Standard description for publication
INNAIT (innait.ai) is a workforce readiness intelligence platform that measures AI displacement risk and human irreplaceability. Founded in 2026 by Innait AI LLC, INNAIT produces a personalized INNAIT Score — combining an AI Exposure Score and Human Edge Score across six dimensions that AI cannot replicate. The platform uses a 24-question psychometric assessment grounded in the MIT SLOAN EPOCH Framework, WEF Future of Jobs research, and Goldman Sachs displacement data. For organizations, INNAIT provides an Org AI Credit Score (AAA–DDD) and a workforce readiness dashboard for people strategy and board reporting. INNAIT is available at innait.ai.
Guidelines
How to reference INNAIT correctly
✦ Correct usage
INNAIT (all caps, always)
"INNAIT Score" when referring to the composite score
"AI Exposure Score" and "Human Edge Score" for sub-scores
"workforce readiness platform" or "AI displacement diagnostic"
innait.ai (lowercase for URL)
Contact press@innait.ai before publication for fact-checking
✕ Please avoid
"Innait" or "innait" (incorrect capitalization)
Describing INNAIT as a "quiz" or "test"
"Will AI replace me?" framing — we measure readiness, not fate
Reproducing assessment questions without written permission
Claiming INNAIT scores predict specific career outcomes
Using logo on backgrounds that reduce contrast below 4.5:1
Contact
Get in touch