10 questions, score 0–100, honest verdict. Are you actually ready to ship AI on a real workflow, or do you need foundations first?
~3 min · 10 questions · runs entirely client-side
Scoring. Each question is worth 0, 5, or 10 points (No / Sometimes / Yes). Total score 0–100. The four categories (Process, Data, Tech, Org) carry different max weights based on how much each tends to predict deployment success.
Verdict bands. 85+ ship-ready, 70–84 almost there, 50–69 pilot first, 25–49 foundations needed, 0–24 not yet. The bands are calibrated against patterns we’ve seen across Orbit deployments and AI failure post-mortems published by McKinsey, BCG, and the MIT Sloan AI study.
Why these 10 questions. 70% of failed enterprise AI projects fail at process, data, or organizational fit, not at the model. The questions front-load those gates. References: MIT Sloan State of AI in Business, McKinsey State of AI.
What it doesn’t do. This is a heuristic, not a guarantee. It can’t see your codebase, your customer contracts, or your team dynamics. Use it as a conversation starter with the people who will own the system, not as a final answer.
Question set last reviewed 2026-05-06.