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</div>
<h1>IDAIRA</h1>
<p>Industrial AI Readiness Assessment — Self-Assessment Tool</p>
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<p class="privacy">Your data is processed in accordance with GDPR. The assessment results are sent exclusively to INOVIA Consulting for the purpose of providing you with a personalized readiness evaluation. <a href="https://inovia-consulting.com/privacy-policy/" target="_blank">Privacy Policy</a></p>
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<script>
// ═══════ MATURITY DATA ═══════
const MATURITY_DATA = {"People":[{"level":1,"name":"Basic IT skills exist","question":"Do IT staff have foundational technical skills (programming, database, systems administration), even if not AI-specific?","itot":"IT"},{"level":1,"name":"Basic OT skills exist","question":"Do OT/automation staff have foundational technical skills (PLC programming, instrumentation, process control), even if not AI-specific?","itot":"OT"},{"level":1,"name":"Interest in AI exists","question":"Are there individuals in the organization who have self-initiated AI learning or expressed interest in AI adoption?","itot":"\u2014"},{"level":1,"name":"Basic digital literacy","question":"Do employees across the assessed business functions have basic digital literacy (using software tools, working with data)?","itot":"\u2014"},{"level":2,"name":"AI training program (IT)","question":"Does a structured AI/ML training program exist for IT staff (data analysts, developers, architects)?","itot":"IT"},{"level":2,"name":"AI training program (OT)","question":"Does a structured AI training program exist for OT staff (automation engineers, process engineers, maintenance)?","itot":"OT"},{"level":2,"name":"Dedicated AI/data roles (IT)","question":"Have dedicated AI/data science roles been created within the IT organization (e.g., data scientist, ML engineer)?","itot":"IT"},{"level":2,"name":"AI literacy for leadership","question":"Have managers and leaders in the assessed business functions completed AI literacy training?","itot":"\u2014"},{"level":2,"name":"AI skills inventory","question":"Has the organization conducted a baseline inventory of AI-relevant skills across the assessed business functions?","itot":"\u2014"},{"level":3,"name":"Enterprise AI competency framework","question":"Is there an enterprise-wide AI competency framework defining required AI skills by role (IT and OT)?","itot":"\u2014"},{"level":3,"name":"AI Center of Excellence","question":"Does a central AI team, CoE, or equivalent coordination function exist that serves multiple business functions?","itot":"\u2014"},{"level":3,"name":"Cross-functional AI skill development","question":"Are AI skills development programs designed to include both IT and OT personnel working together?","itot":"\u2014"},{"level":3,"name":"AI career paths defined","question":"Are career development paths defined for AI-related roles (data engineer, ML engineer, AI product manager)?","itot":"\u2014"},{"level":3,"name":"Change management for AI","question":"Is there a structured change management approach for AI adoption that addresses workforce concerns and reskilling?","itot":"\u2014"},{"level":4,"name":"AI skills measured with KPIs","question":"Are AI competency levels measured quantitatively across the organization with defined KPIs and tracked over time?","itot":"Converged"},{"level":4,"name":"Converged IT/OT AI workforce planning","question":"Does workforce planning for AI roles treat IT and OT as a single, integrated talent pool?","itot":"Converged"},{"level":4,"name":"AI talent retention program","question":"Is there a dedicated program to retain AI talent (competitive compensation, challenging projects, continuous learning)?","itot":"\u2014"},{"level":4,"name":"External AI ecosystem engagement","question":"Do AI professionals actively participate in external AI communities, research partnerships, or industry working groups?","itot":"\u2014"},{"level":5,"name":"AI innovation culture","question":"Is experimentation with AI encouraged across the organization with dedicated time, resources, and tolerance for failure?","itot":"\u2014"},{"level":5,"name":"AI thought leadership","question":"Does the organization contribute to industry AI standards, publish research, or present at leading conferences?","itot":"\u2014"},{"level":5,"name":"Continuous AI skills adaptation","question":"Does the AI competency framework automatically adapt to emerging AI technologies and methods (e.g., GenAI, AI agents)?","itot":"\u2014"}],"Process":[{"level":1,"name":"Core business processes exist","question":"Are core business processes in the assessed functions documented or at least understood by the people executing them?","itot":"\u2014"},{"level":1,"name":"Data-informed decisions occur","question":"Do decision-makers in the assessed business functions use data (reports, dashboards, spreadsheets) to inform decisions, even if manually?","itot":"\u2014"},{"level":1,"name":"Improvement initiatives exist","question":"Are there ongoing process improvement initiatives (lean, Six Sigma, continuous improvement) in at least some business functions?","itot":"\u2014"},{"level":2,"name":"AI use case identification (IT)","question":"Is there a documented process for identifying AI use cases in IT-supported business processes (ERP, CRM, SCM)?","itot":"IT"},{"level":2,"name":"AI use case identification (OT)","question":"Is there a documented process for identifying AI use cases in OT/manufacturing processes (predictive maintenance, quality, optimization)?","itot":"OT"},{"level":2,"name":"AI project methodology","question":"Is a defined methodology used for AI/ML projects (e.g., CRISP-DM, adapted Agile) at the business function level?","itot":"\u2014"},{"level":2,"name":"AI model validation process","question":"Is there a defined process for validating AI model outputs before deployment in the assessed business functions?","itot":"\u2014"},{"level":2,"name":"Process documentation for AI","question":"Are business processes that are candidates for AI augmentation documented at a level sufficient for AI requirements analysis?","itot":"\u2014"},{"level":3,"name":"Enterprise AI process framework","question":"Is there an enterprise-wide, standardized process for AI initiative lifecycle management (ideation \u2192 deployment \u2192 monitoring)?","itot":"\u2014"},{"level":3,"name":"AI-augmented process design","question":"Are business processes redesigned to incorporate AI capabilities (not just retrofitted), following a standard approach?","itot":"\u2014"},{"level":3,"name":"MLOps process defined","question":"Is there a defined MLOps process for model deployment, versioning, monitoring, and retraining across the enterprise?","itot":"\u2014"},{"level":3,"name":"AI benefit realization process","question":"Is there a standard process for measuring and reporting the business value delivered by AI initiatives against defined objectives?","itot":"\u2014"},{"level":3,"name":"Supply chain AI process integration","question":"Are AI-augmented supply chain processes mapped to SCOR process categories with defined performance attributes?","itot":"\u2014"},{"level":4,"name":"AI process performance measured","question":"Are AI-augmented processes measured quantitatively with defined KPIs and compared against baselines?","itot":"Converged"},{"level":4,"name":"Converged IT/OT AI process management","question":"Are AI processes managed as a single integrated workflow across IT and OT domains (no separate governance)?","itot":"Converged"},{"level":4,"name":"Continuous model monitoring","question":"Is there an automated process for continuous monitoring of AI model performance, data drift, and concept drift in production?","itot":"\u2014"},{"level":4,"name":"AI process benchmarking","question":"Are AI-augmented process outcomes benchmarked against industry peers or standards?","itot":"\u2014"},{"level":5,"name":"AI-driven process optimization","question":"Do AI systems autonomously identify and recommend process improvements based on real-time performance data?","itot":"\u2014"},{"level":5,"name":"Self-improving AI pipelines","question":"Do AI/ML pipelines automatically adapt (retrain, reconfigure) based on detected performance degradation without manual intervention?","itot":"\u2014"},{"level":5,"name":"Cross-enterprise AI process innovation","question":"Does the organization systematically explore AI-driven process innovations that extend beyond enterprise boundaries (e.g., collaborative AI across the supply chain)?","itot":"\u2014"}],"Data":[{"level":1,"name":"IT business data exists","question":"Does structured business data exist in IT systems (ERP, CRM, SCM, PLM), even if not formally governed?","itot":"IT"},{"level":1,"name":"OT operational data exists","question":"Does operational data exist in OT systems (historians, SCADA logs, sensor databases), even if not formally governed?","itot":"OT"},{"level":1,"name":"Reporting capability exists","question":"Can the organization generate reports from its existing data systems, even if manually or with significant effort?","itot":"\u2014"},{"level":1,"name":"Basic data storage infrastructure","question":"Does basic data storage infrastructure exist (databases, file servers, historians), even if fragmented across systems?","itot":"\u2014"},{"level":2,"name":"Data ownership defined (IT)","question":"Are data owners formally assigned for key IT data domains (customer, product, financial, supplier)?","itot":"IT"},{"level":2,"name":"Data ownership defined (OT)","question":"Are data owners formally assigned for key OT data domains (process data, equipment data, quality data, energy data)?","itot":"OT"},{"level":2,"name":"Data quality checks (IT)","question":"Are periodic data quality checks performed on key IT data domains?","itot":"IT"},{"level":2,"name":"Data quality checks (OT)","question":"Are periodic data quality checks performed on key OT data domains (sensor calibration, historian completeness)?","itot":"OT"},{"level":2,"name":"Data dictionary exists","question":"Does a data dictionary or data catalog exist for at least the key data domains used in the assessed business functions?","itot":"\u2014"},{"level":3,"name":"Enterprise data governance","question":"Is there an enterprise-wide data governance framework with a data governance board, policies, and decision rights?","itot":"\u2014"},{"level":3,"name":"IT/OT data integration architecture","question":"Is there a defined architecture for integrating IT and OT data (e.g., through a data lake, integration platform, or unified data model)?","itot":"\u2014"},{"level":3,"name":"Master data management","question":"Is master data management (MDM) implemented for key shared data entities (product, material, customer, asset)?","itot":"\u2014"},{"level":3,"name":"Data lifecycle management","question":"Are data lifecycle policies defined and enforced (creation, storage, retention, archival, deletion)?","itot":"\u2014"},{"level":3,"name":"AI training data management","question":"Is there a defined process for curating, labeling, versioning, and governing data used for AI model training?","itot":"\u2014"},{"level":4,"name":"Data quality measured with KPIs","question":"Is data quality measured continuously with defined KPIs across both IT and OT domains as a converged practice?","itot":"Converged"},{"level":4,"name":"Real-time data pipelines","question":"Do real-time or near-real-time data pipelines exist between OT systems and enterprise analytics/AI platforms?","itot":"Converged"},{"level":4,"name":"Data lineage tracking","question":"Is data lineage tracked end-to-end for AI-relevant data flows, from source systems through transformation to model input?","itot":"\u2014"},{"level":4,"name":"Data sharing readiness","question":"Is the organization capable of sharing data externally through standardized interfaces (e.g., Data Space connectors, APIs)?","itot":"\u2014"},{"level":5,"name":"Predictive data quality management","question":"Does the organization use AI to predict and preemptively address data quality issues before they impact downstream processes?","itot":"\u2014"},{"level":5,"name":"Self-healing data pipelines","question":"Do data integration pipelines automatically detect and correct failures, adapt to schema changes, and self-optimize?","itot":"\u2014"},{"level":5,"name":"Data as a strategic asset","question":"Is data explicitly managed as a strategic asset with quantified business value and treated as an input to competitive strategy?","itot":"\u2014"}],"Digital Landscape":[{"level":1,"name":"Enterprise systems exist","question":"Are core enterprise systems (ERP, PLM, CRM, or equivalent) deployed and operational, even if on older versions?","itot":"IT"},{"level":1,"name":"OT automation systems exist","question":"Are OT automation systems (PLCs, SCADA/DCS, MES, or equivalent) deployed and operational in production?","itot":"OT"},{"level":1,"name":"Basic computing infrastructure","question":"Does computing infrastructure exist (on-premise servers, workstations), even if no cloud or edge capabilities?","itot":"\u2014"},{"level":1,"name":"Basic network connectivity","question":"Does basic network infrastructure exist in both office and production environments, even if IT and OT networks are fully separated?","itot":"\u2014"},{"level":2,"name":"Modern enterprise systems (IT)","question":"Are core enterprise systems (ERP, PLM, CRM) on current versions with API/integration capabilities?","itot":"IT"},{"level":2,"name":"Connected OT systems","question":"Are key OT systems (MES, SCADA, historians) connected to the enterprise network with defined data interfaces?","itot":"OT"},{"level":2,"name":"OPC UA deployed in production","question":"Is OPC UA deployed on production lines for standardized machine-level data access?","itot":"OT"},{"level":2,"name":"Basic AI/ML platform","question":"Is a basic AI/ML platform or toolset available for data scientists (cloud or on-premise)?","itot":"\u2014"},{"level":2,"name":"Network segmentation (IT/OT DMZ)","question":"Is network segmentation in place between IT and OT networks with a defined DMZ per IEC 62443 zones and conduits?","itot":"\u2014"},{"level":3,"name":"Integration platform","question":"Is an enterprise integration platform (iPaaS, ESB, or industrial IoT platform) deployed to connect IT and OT systems?","itot":"\u2014"},{"level":3,"name":"Edge computing infrastructure","question":"Is edge computing infrastructure deployed at plant/production level for real-time data processing and local AI inference?","itot":"\u2014"},{"level":3,"name":"Digital Twin platform","question":"Is a Digital Twin platform deployed or piloted for at least one use case (asset, process, or product twin)?","itot":"\u2014"},{"level":3,"name":"Standardized sensor/data architecture","question":"Is there a standardized approach to sensor deployment, fieldbus protocols, and data acquisition across production environments?","itot":"\u2014"},{"level":3,"name":"AI/ML engineering platform","question":"Is an enterprise AI/ML platform deployed with capabilities for model development, training, deployment, and monitoring (MLOps)?","itot":"\u2014"},{"level":4,"name":"Converged IT/OT architecture","question":"Is there a unified, managed IT/OT architecture with standardized integration patterns, governed by a single architecture function?","itot":"Converged"},{"level":4,"name":"Real-time data streaming","question":"Is real-time data streaming from OT to enterprise analytics/AI platforms operational across multiple production sites?","itot":"Converged"},{"level":4,"name":"Data Space connector deployed","question":"Is an Eclipse Dataspace Connector (EDC) or equivalent deployed for sovereign data exchange with external partners?","itot":"\u2014"},{"level":4,"name":"AI at the edge in production","question":"Are AI/ML models deployed and running at the edge in production environments (inference on edge devices)?","itot":"\u2014"},{"level":5,"name":"Adaptive architecture","question":"Does the digital architecture automatically adapt to changing workloads, new data sources, or new AI model deployments?","itot":"\u2014"},{"level":5,"name":"Full RAMI 4.0 coverage","question":"Is the organization operating across all RAMI 4.0 hierarchy levels (Product through Connected World) with AI-enabled capabilities at each level?","itot":"\u2014"},{"level":5,"name":"Autonomous OT operations","question":"Are there production processes that operate autonomously with AI-driven decision-making and human oversight?","itot":"\u2014"}],"Responsible AI":[{"level":1,"name":"General compliance awareness","question":"Is the organization aware of regulatory requirements relevant to its industry (e.g., product safety, data protection), even if not AI-specific?","itot":"\u2014"},{"level":1,"name":"Basic IT security exists","question":"Are basic IT security measures in place (firewalls, access controls, antivirus), even if not specifically addressing AI threats?","itot":"\u2014"},{"level":1,"name":"Safety culture exists","question":"Does the organization have an existing safety culture and safety management practices (e.g., occupational safety, product safety), even if not covering AI?","itot":"\u2014"},{"level":1,"name":"Awareness of AI regulation","question":"Are senior leaders or compliance functions aware that AI-specific regulation exists (e.g., EU AI Act), even if no action has been taken yet?","itot":"\u2014"},{"level":2,"name":"AI system inventory exists","question":"Has the organization created an inventory of AI systems currently deployed or in development, including their purpose and risk level?","itot":"\u2014"},{"level":2,"name":"Basic AI ethics guidelines","question":"Do basic AI ethics guidelines or principles exist (even if informal) that address fairness, transparency, and accountability?","itot":"\u2014"},{"level":2,"name":"AI risk classification performed","question":"Have AI systems been classified by risk level (e.g., per EU AI Act risk tiers: unacceptable, high, limited, minimal)?","itot":"\u2014"},{"level":2,"name":"AI security awareness","question":"Are development and operations teams aware of AI-specific security threats (adversarial attacks, data poisoning, model extraction)?","itot":"\u2014"},{"level":2,"name":"Functional safety impact screening","question":"Has a screening been performed to identify which AI systems could impact functional safety in OT environments?","itot":"OT"},{"level":3,"name":"AI governance framework","question":"Is a formal AI governance framework in place with defined roles (AI governance board, AI ethics officer or equivalent), policies, and decision rights?","itot":"\u2014"},{"level":3,"name":"AI risk management process","question":"Is there a defined, enterprise-wide process for AI risk assessment, mitigation, and monitoring aligned with NIST AI RMF or equivalent?","itot":"\u2014"},{"level":3,"name":"EU AI Act compliance program","question":"Is there a compliance program in place to address EU AI Act requirements for high-risk AI systems (risk management, data governance, transparency, human oversight)?","itot":"\u2014"},{"level":3,"name":"AI security controls","question":"Are AI-specific security controls implemented (model access controls, training data integrity, adversarial robustness testing)?","itot":"\u2014"},{"level":3,"name":"AI transparency and explainability","question":"Are mechanisms in place to explain AI model decisions to affected stakeholders where required (especially for high-risk use cases)?","itot":"\u2014"},{"level":4,"name":"AI governance measured","question":"Are AI governance effectiveness and compliance measured with defined KPIs and reported to senior leadership regularly?","itot":"Converged"},{"level":4,"name":"Conformity assessment for high-risk AI","question":"Have high-risk AI systems undergone conformity assessment with technical documentation, testing, and CE marking where required?","itot":"\u2014"},{"level":4,"name":"AI functional safety integration","question":"Are AI systems in safety-relevant OT applications formally integrated into the functional safety lifecycle with documented safety cases?","itot":"Converged"},{"level":4,"name":"AI incident management","question":"Is there a formal process for detecting, reporting, and responding to AI-related incidents (including regulatory notification where required)?","itot":"\u2014"},{"level":4,"name":"AI bias monitoring","question":"Are AI systems monitored continuously for bias, fairness, and discrimination with automated detection and alerting?","itot":"\u2014"},{"level":5,"name":"Proactive AI risk anticipation","question":"Does the organization proactively anticipate emerging AI risks (new attack vectors, regulatory changes, societal impacts) and adapt governance accordingly?","itot":"\u2014"},{"level":5,"name":"AI safety by design","question":"Are AI systems designed from the ground up with safety, security, and ethical considerations as first-class requirements (not retrofitted)?","itot":"\u2014"},{"level":5,"name":"Industry leadership in responsible AI","question":"Does the organization contribute to responsible AI standards, share best practices, or participate in regulatory sandboxes?","itot":"\u2014"},{"level":5,"name":"Trustworthy AI certification","question":"Has the organization achieved or is pursuing certification against ISO/IEC 42001 or equivalent AI management system standard?","itot":"\u2014"}]};
const DIM_KEYS = Object.keys(MATURITY_DATA);
const DIM_COLORS = {'People':'#6366f1','Process':'#0ea5e9','Data':'#10b981','Digital Landscape':'#f59e0b','Responsible AI':'#dc2626'};
const LEVEL_NAMES = {1:'Initial',2:'Managed',3:'Defined',4:'Measured',5:'Optimized'};
const SECTORS = ['Automotive','Chemical','Aerospace','Semiconductor','Energy','Other'];
const SIZES = ['250 – 4,999 employees','5,000 – 9,999 employees','10,000+ employees'];
let answers = {}; // {dimKey: {capIndex: true/false}}
let currentStep = 0;
const totalSteps = DIM_KEYS.length + 2; // info + 5 dims + results
// ═══════ BUILD UI ═══════
function init() {
// Init answers
DIM_KEYS.forEach(d => { answers[d] = {}; });
buildProgress();
buildSteps();
showStep(0);
}
function buildProgress() {
const bar = document.getElementById('progress');
const labels = ['Company Info', ...DIM_KEYS, 'Results'];
labels.forEach((l, i) => {
const s = document.createElement('div');
s.className = 'prog-step';
s.textContent = l;
s.onclick = () => { if (i <= getMaxStep()) showStep(i); };
bar.appendChild(s);
});
}
function getMaxStep() {
// Allow navigating to any completed step + 1
if (currentStep === 0) {
const f = document.getElementById('company');
if (f && f.value.trim()) return totalSteps - 1;
}
return totalSteps - 1;
}
function buildSteps() {
const container = document.getElementById('steps');
// Step 0: Company Info
let html = `<div class="step" id="step-0">
<h2>Company Information</h2>
<p class="desc">Please provide your company details. This information will be included in your assessment report.</p>
<div class="form-row">
<div class="form-group"><label>Company Name *</label><input type="text" id="company" required placeholder="Your company name"></div>
<div class="form-group"><label>Contact Person *</label><input type="text" id="contact" required placeholder="Your name"></div>
</div>
<div class="form-row">
<div class="form-group"><label>Email Address *</label><input type="email" id="email" required placeholder="your@email.com"></div>
<div class="form-group"><label>Job Title</label><input type="text" id="jobtitle" placeholder="e.g., CDO, Head of Manufacturing"></div>
</div>
<div class="form-row">
<div class="form-group"><label>Industry Sector</label><select id="sector"><option value="">Select sector...</option>${SECTORS.map(s=>`<option>${s}</option>`).join('')}</select></div>
<div class="form-group"><label>Company Size</label><select id="size"><option value="">Select size...</option>${SIZES.map(s=>`<option>${s}</option>`).join('')}</select></div>
</div>
<div class="btn-row"><div></div><button class="btn btn-primary" onclick="nextStep()">Start Assessment →</button></div>
</div>`;
container.innerHTML = html;
// Steps 1-5: Dimensions
DIM_KEYS.forEach((dim, di) => {
let stepHtml = `<div class="step" id="step-${di+1}">
<h2 style="color:${DIM_COLORS[dim]}">${dim}</h2>
<p class="desc">Answer each question with Yes or No. Your maturity level is the highest level where all capabilities are present.</p>`;
const caps = MATURITY_DATA[dim];
let currentLevel = 0;
caps.forEach((cap, ci) => {
if (cap.level !== currentLevel) {
currentLevel = cap.level;
stepHtml += `<div class="level-group"><span class="level-label ll-${cap.level}">Level ${cap.level} — ${LEVEL_NAMES[cap.level]}</span></div>`;
}
const tagClass = cap.itot === 'IT' ? 'q-tag-it' : cap.itot === 'OT' ? 'q-tag-ot' : cap.itot === 'Converged' ? 'q-tag-conv' : '';
const tagHtml = tagClass ? `<span class="q-tag ${tagClass}">${cap.itot}</span> ` : '';
stepHtml += `<div class="question" id="q-${dim.replace(/\s/g,'')}-${ci}">
<div class="q-text">${tagHtml}${cap.question}</div>
<div class="toggle-group">
<button class="toggle-btn" onclick="answer('${dim}',${ci},true,this)">Yes</button>
<button class="toggle-btn" onclick="answer('${dim}',${ci},false,this)">No</button>
</div>
</div>`;
});
stepHtml += `<div class="btn-row">
<button class="btn btn-secondary" onclick="prevStep()">← Back</button>
<button class="btn btn-primary" onclick="nextStep()">${di < DIM_KEYS.length - 1 ? 'Next Dimension →' : 'View Results →'}</button>
</div></div>`;
container.innerHTML += stepHtml;
});
// Step 6: Results
container.innerHTML += `<div class="step" id="step-${totalSteps-1}">
<h2>Your AI Readiness Results</h2>
<p class="desc">Based on your self-assessment responses, here is your Industrial AI Readiness profile.</p>
<div class="results-grid">
<div class="result-card">
<h3>Overall AI Readiness Score</h3>
<div class="score-big" id="overall-score">—</div>
<div class="score-label">out of 5.0</div>
</div>
<div class="result-card">
<h3>Dimension Scores</h3>
<div id="dim-scores"></div>
</div>
</div>
<div class="result-card" style="margin-top:16px">
<h3>Maturity Profile</h3>
<div class="spider-wrap"><canvas id="spider" width="340" height="340"></canvas></div>
</div>
<div class="result-card" style="margin-top:16px;text-align:center">
<h3>Get Your Detailed Assessment Report</h3>
<p class="desc" style="margin-bottom:12px">Submit your assessment to receive a detailed Excel report from INOVIA Consulting, including recommendations for your next steps.</p>
<button class="btn btn-submit" id="submit-btn" onclick="submitAssessment()">Submit Assessment to INOVIA</button>
<div id="status"></div>
</div>
<div class="btn-row"><button class="btn btn-secondary" onclick="prevStep()">← Back</button><div></div></div>
</div>`;
}
function answer(dim, idx, val, btn) {
answers[dim][idx] = val;
const siblings = btn.parentElement.children;
Array.from(siblings).forEach(b => b.classList.remove('sel-yes', 'sel-no'));
btn.classList.add(val ? 'sel-yes' : 'sel-no');
const q = btn.closest('.question');
q.classList.remove('answered-yes', 'answered-no');
q.classList.add(val ? 'answered-yes' : 'answered-no');
}
function showStep(n) {
currentStep = n;
document.querySelectorAll('.step').forEach(s => s.classList.remove('active'));
document.getElementById(`step-${n}`).classList.add('active');
document.querySelectorAll('.prog-step').forEach((s, i) => {
s.classList.remove('active', 'done');
if (i === n) s.classList.add('active');
else if (i < n) s.classList.add('done');
});
if (n === totalSteps - 1) calculateResults();
window.scrollTo(0, 0);
}
function nextStep() {
if (currentStep === 0) {
const c = document.getElementById('company').value.trim();
const ct = document.getElementById('contact').value.trim();
const e = document.getElementById('email').value.trim();
if (!c || !ct || !e) { alert('Please fill in Company Name, Contact Person, and Email.'); return; }
}
if (currentStep < totalSteps - 1) showStep(currentStep + 1);
}
function prevStep() { if (currentStep > 0) showStep(currentStep - 1); }
// ═══════ SCORING ═══════
function calcDimLevel(dim) {
const caps = MATURITY_DATA[dim];
let maturityLevel = 0;
for (let level = 1; level <= 5; level++) {
const levelCaps = caps.filter(c => c.level === level);
const allYes = levelCaps.every((c, i) => {
const globalIdx = caps.indexOf(c);
return answers[dim][globalIdx] === true;
});
if (allYes) maturityLevel = level;
else break;
}
return maturityLevel;
}
function calculateResults() {
const scores = {};
let total = 0;
const scoresDiv = document.getElementById('dim-scores');
scoresDiv.innerHTML = '';
DIM_KEYS.forEach(dim => {
const level = calcDimLevel(dim);
scores[dim] = level;
total += level;
const pct = (level / 5 * 100).toFixed(0);
scoresDiv.innerHTML += `<div class="dim-score">
<span style="min-width:120px">${dim}</span>
<div class="dim-bar"><div class="dim-bar-fill" style="width:${pct}%;background:${DIM_COLORS[dim]}"></div></div>
<span class="val">${level}</span>
</div>`;
});
const overall = (total / DIM_KEYS.length).toFixed(1);
document.getElementById('overall-score').textContent = overall;
drawSpider(scores);
}
// ═══════ SPIDER DIAGRAM ═══════
function drawSpider(scores) {
const canvas = document.getElementById('spider');
const ctx = canvas.getContext('2d');
const cx = 170, cy = 170, R = 130;
const n = DIM_KEYS.length;
ctx.clearRect(0, 0, 340, 340);
function pt(level, i) {
const a = (Math.PI * 2 * i / n) - Math.PI / 2;
const r = R * level / 5;
return [cx + r * Math.cos(a), cy + r * Math.sin(a)];
}
// Grid
for (let l = 1; l <= 5; l++) {
ctx.beginPath();
for (let i = 0; i <= n; i++) {
const [x, y] = pt(l, i % n);
i === 0 ? ctx.moveTo(x, y) : ctx.lineTo(x, y);
}
ctx.strokeStyle = '#dee2e6'; ctx.lineWidth = 0.6; ctx.stroke();
}
// Axes
for (let i = 0; i < n; i++) {
const [x, y] = pt(5, i);
ctx.beginPath(); ctx.moveTo(cx, cy); ctx.lineTo(x, y);
ctx.strokeStyle = '#adb5bd'; ctx.lineWidth = 0.5; ctx.stroke();
}
// Level numbers
ctx.font = '9px monospace'; ctx.fillStyle = '#adb5bd'; ctx.textAlign = 'center';
for (let l = 1; l <= 5; l++) {
const [x, y] = pt(l, 0);
ctx.fillText(l, x + 8, y + 3);
}
// Data polygon
ctx.beginPath();
DIM_KEYS.forEach((dim, i) => {
const [x, y] = pt(scores[dim], i);
i === 0 ? ctx.moveTo(x, y) : ctx.lineTo(x, y);
});
ctx.closePath();
ctx.fillStyle = 'rgba(21,80,123,0.15)'; ctx.fill();
ctx.strokeStyle = '#15507b'; ctx.lineWidth = 2; ctx.stroke();
// Dots
DIM_KEYS.forEach((dim, i) => {
const [x, y] = pt(scores[dim], i);
ctx.beginPath(); ctx.arc(x, y, 5, 0, Math.PI * 2);
ctx.fillStyle = DIM_COLORS[dim]; ctx.fill();
ctx.strokeStyle = '#fff'; ctx.lineWidth = 1.5; ctx.stroke();
});
// Labels
ctx.font = '11px "DM Sans", sans-serif'; ctx.textAlign = 'center';
DIM_KEYS.forEach((dim, i) => {
const [x, y] = pt(5.8, i);
ctx.fillStyle = DIM_COLORS[dim];
const short = dim === 'Digital Landscape' ? 'Digital' : dim === 'Responsible AI' ? 'Resp. AI' : dim;
ctx.fillText(short, x, y + 4);
});
}
// ═══════ EXCEL GENERATION ═══════
function generateExcel() {
const wb = XLSX.utils.book_new();
// Summary sheet
const summaryData = [
['IDAIRA — Industrial AI Readiness Self-Assessment'],
[''],
['Company', document.getElementById('company').value],
['Contact', document.getElementById('contact').value],
['Email', document.getElementById('email').value],
['Job Title', document.getElementById('jobtitle').value],
['Sector', document.getElementById('sector').value],
['Company Size', document.getElementById('size').value],
['Date', new Date().toISOString().split('T')[0]],
[''],
['Dimension', 'Maturity Level', 'Level Name'],
];
let total = 0;
DIM_KEYS.forEach(dim => {
const level = calcDimLevel(dim);
total += level;
summaryData.push([dim, level, LEVEL_NAMES[level]]);
});
summaryData.push(['']);
summaryData.push(['Overall AI Readiness Score', (total / DIM_KEYS.length).toFixed(1)]);
const ws1 = XLSX.utils.aoa_to_sheet(summaryData);
ws1['!cols'] = [{wch:30},{wch:18},{wch:16}];
XLSX.utils.book_append_sheet(wb, ws1, 'Summary');
// Detail sheets per dimension
DIM_KEYS.forEach(dim => {
const caps = MATURITY_DATA[dim];
const rows = [['Level', 'Capability', 'Question', 'Answer', 'IT/OT']];
caps.forEach((cap, i) => {
const ans = answers[dim][i];
rows.push([
`Level ${cap.level} - ${LEVEL_NAMES[cap.level]}`,
cap.name,
cap.question,
ans === true ? 'Yes' : ans === false ? 'No' : 'Not answered',
cap.itot
]);
});
rows.push([]);
rows.push(['Maturity Level:', calcDimLevel(dim), LEVEL_NAMES[calcDimLevel(dim)]]);
const ws = XLSX.utils.aoa_to_sheet(rows);
ws['!cols'] = [{wch:20},{wch:35},{wch:70},{wch:14},{wch:12}];
const sheetName = dim.length > 31 ? dim.substring(0, 31) : dim;
XLSX.utils.book_append_sheet(wb, ws, sheetName);
});
return XLSX.write(wb, {bookType: 'xlsx', type: 'base64'});
}
// ═══════ SUBMISSION ═══════
async function submitAssessment() {
const btn = document.getElementById('submit-btn');
const statusDiv = document.getElementById('status');
btn.disabled = true;
statusDiv.className = 'status loading';
statusDiv.textContent = 'Generating report and submitting...';
statusDiv.style.display = 'block';
try {
const excelB64 = generateExcel();
const dimScores = {};
DIM_KEYS.forEach(d => dimScores[d] = calcDimLevel(d));
const overallScore = Object.values(dimScores).reduce((a, b) => a + b, 0) / DIM_KEYS.length;
const payload = {
company: document.getElementById('company').value,
contact: document.getElementById('contact').value,
email: document.getElementById('email').value,
jobtitle: document.getElementById('jobtitle').value || '',
sector: document.getElementById('sector').value || '',
size: document.getElementById('size').value || '',
overall_score: overallScore,
dimension_scores: dimScores,
excel_b64: excelB64
};
// POST to WordPress REST endpoint
const wpApiUrl = window.IDAIRA_API_URL || '/wp-json/idaira/v1/submit';
const response = await fetch(wpApiUrl, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(payload)
});
const result = await response.json();
if (result.success) {
statusDiv.className = 'status success';
statusDiv.textContent = 'Assessment submitted successfully! INOVIA Consulting will review your results and contact you with a personalized evaluation.';
} else {
throw new Error(result.message || 'Submission failed');
}
} catch (err) {
statusDiv.className = 'status error';
statusDiv.textContent = 'Submission encountered an issue. Please try again or contact pk@inovia-consulting.com directly.';
btn.disabled = false;
console.error('IDAIRA submission error:', err);
}
}
// Initialize
init();
</script>
