AI Readiness Scorecard
Reviewed: June 4, 2026
Assess your organization’s AI readiness across 5 critical dimensions. Answer each question honestly — there are no wrong answers, only useful insights.
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📊 AI Readiness Scorecard
Rate each statement from 1 (strongly disagree) to 5 (strongly agree)
1. 🏗️ Data Infrastructure
Our data is well-organized, accessible, and clean enough for analysis.
2. 🧠 Technical Talent
Our team has the skills to implement and maintain AI systems.
3. ⚙️ Process Maturity
Our business processes are documented and repeatable enough to automate.
4. 💰 Investment Readiness
We have budget allocated or available for AI initiatives.
5. 🎯 Strategic Alignment
AI adoption is driven by clear business goals, not technology trends.
function calcScore() {
let scores = {};
let allAnswered = true;
for (let i = 1; i a + b, 0);
let pct = Math.round((total / 25) * 100);
let label, color, tip;
if (pct >= 80) {
label = ‚🚀 AI Ready — Go for Production‘;
color = ‚#22c55e‘;
tip = ‚Your organization is well-positioned for AI deployment. Focus on scaling: implement multi-agent workflows, fine-tune custom models, and build AI into your core products.‘;
} else if (pct >= 60) {
label = ‚📈 On Track — Build on Your Foundation‘;
color = ‚#4361ee‘;
tip = ‚You have solid foundations. Prioritize your highest-ROI use cases and start with quick wins. Invest in data cleanup and prompt engineering training for your team.‘;
} else if (pct >= 40) {
label = ‚🔧 Developing — Address Key Gaps‘;
color = ‚#f59e0b‘;
tip = ‚Good progress but gaps remain. Focus on documenting processes, organizing data, and upskilling your team before deploying AI at scale. Start with low-risk pilot projects.‘;
} else {
label = ‚🏁 Early Stage — Build the Foundation First‘;
color = ‚#ef4444‘;
tip = ‚AI deployment will be challenging at this stage. Start with foundational work: document processes, organize data, and run a small pilot before investing in full-scale AI.‘;
}
document.getElementById(’scoreNum‘).textContent = pct + ‚%‘;
document.getElementById(’scoreNum‘).style.color = color;
document.getElementById(’scoreLabel‘).textContent = label;
document.getElementById(’scoreDetail‘).textContent = ‚Total score: ‚ + total + ‚ out of 25‘;
let dimNames = { d1: ‚Data Infrastructure‘, d2: ‚Technical Talent‘, d3: ‚Process Maturity‘, d4: ‚Investment Readiness‘, d5: ‚Strategic Alignment‘ };
let bd = ‚Dimension Breakdown:‚;
for (let k in scores) {
let bar = ‚█‘.repeat(scores[k]) + ‚░‘.repeat(5 – scores[k]);
bd += ‚
‚;
}
document.getElementById(‚breakdown‘).innerHTML = bd;
document.getElementById(‚tip‘).innerHTML = ‚Next Steps: ‚ + tip;
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}