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📊 The Machine Learning Readiness Audit

An interactive 3D scoring tower: set five 0-20 point pillars — data, infrastructure, team, budget and culture — and watch a live readiness gauge decide whether a business should greenlight a machine learning project.

AI & Machine Learning3DAdvanced60 FPS

Five glowing pillars — data, infrastructure, team, budget and culture — rise around a central gauge tower, turning a 100-point ML readiness scoring framework into a 3D dashboard that decides whether a business should greenlight its first machine learning project.

🔬 What It Demonstrates

Each of the five pillars is worth up to 20 points; their sum drives both the central tower's height (colour-graded red → amber → green) and a semicircular needle gauge, while the weakest pillar is flagged separately as the likely bottleneck.

🎮 How to Use

Drag each slider to score a real or hypothetical business from 0 (absent) to 20 (excellent) on that dimension. Watch the total, verdict badge and gauge needle respond instantly, or click "Random company" to explore a random scorecard.

💡 Did You Know?

Most enterprise AI initiatives that stall do so for organisational reasons — messy data, no infrastructure, no executive sponsor — not because the underlying model was inaccurate.

⚙ Under the hood

machine learningartificial intelligencedata analysisbusiness strategyproject evaluationtechnology readinessThree.js

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install