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JAMES BRADY
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AI-readiness assessment

The AI-readiness assessment scores an organization across seven competency domains using 28 questions, and returns four views of the same result rather than a single number. Questions filter by role, so an executive, a manager, an IT lead and an HR lead each answer what they can actually judge. Four views matter because one number hides which two domains are dragging the average down. Results export as a formatted PDF or as raw JSON.

JB-057AI-readiness assessment

A shared frame, in one sitting

products · open source

github.com/CryptoJym/ai-readiness-assessment

2025-08-15 → 2025-08-15

licence: MIT

0 stars · 0 merged changes

condition: dormant

The problem

Most organizations answer "are we ready for AI" with a feeling. The people who ask are usually executives, and the answer they get back is a vendor's opinion. There is no shared frame, so two departments in the same company can disagree without ever finding out why.

What I built

An interactive assessment that scores an organization across seven competency domains, using 28 questions, and returns charts and a downloadable report. It filters questions by role, so an executive, a manager, an IT lead, and an HR lead each answer what they can judge.

How it works in plain words

The seven domains are: mindset and ethics, governance and risk, opportunity discovery, workflow integration and prompting, verification and quality, execution discipline, and culture and change.

You answer one domain at a time, with a progress bar showing where you are. Every domain has its own color, used consistently across every chart, so a weak area looks the same wherever it appears.

At the end you get four views of the same data: a bar chart by domain, a radar chart for the overall shape, a distribution, and a maturity matrix showing where you sit on the journey. Four views matter because a single number hides which two domains are dragging the average down.

Results export as a formatted PDF for sharing, or as raw JSON if you want to track scores over time rather than take a snapshot and forget it.

Honest status

The tool is live and working, and it has not been changed in about a year. Last commit 2025-08-15.

The sources behind the questions are not named here, so this page does not call them research-based. Whether any real organization has run it is not recorded here.

Stack

Next.js 15 with the App Router. TypeScript. Tailwind CSS. shadcn/ui components. Framer Motion. Recharts. PDF export. Deployed on Vercel.