AI Enablement Program | Track Fit Assessment<\/title>\n<style>\n :root{\n \/* Brandable tokens: adjust to site palette on upload *\/\n --navy:#1b2f4b;\n --navy-soft:#44546a;\n --accent:#e87722; \/* GBTA orange *\/\n --accent-deep:#c05f10;\n --paper:#ffffff;\n --wash:#f5f6f8;\n --line:#dde1e7;\n --good:#2e7d5b;\n --radius:10px;\n --maxw:760px;\n }\n *{box-sizing:border-box;margin:0;padding:0}\n html{font-size:16px}\n body{\n font-family:\"Avenir Next\",\"Segoe UI\",Inter,system-ui,-apple-system,sans-serif;\n color:var(--navy);background:var(--wash);\n line-height:1.55;-webkit-font-smoothing:antialiased;\n }\n .shell{max-width:var(--maxw);margin:0 auto;padding:40px 20px 72px}\n .eyebrow{\n font-size:.72rem;font-weight:700;letter-spacing:.14em;text-transform:uppercase;\n color:var(--accent-deep);margin-bottom:10px;\n }\n h1{font-size:clamp(1.6rem,4vw,2.2rem);font-weight:700;letter-spacing:-.01em;line-height:1.15}\n h2{font-size:1.15rem;font-weight:700;margin-bottom:6px}\n .card{\n 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a:hover{text-decoration:underline}\n .foot-note{font-size:.82rem;color:var(--navy-soft);margin-top:26px;border-top:1px solid var(--line);padding-top:16px}\n .hidden{display:none}\n @media (max-width:640px){\n .card{padding:20px}\n .tracks{grid-template-columns:1fr}\n .score-row{grid-template-columns:1fr;gap:6px}\n .score-row output{text-align:left}\n }\n @media (prefers-reduced-motion:reduce){\n .bar > span,.spec-marker,.score-fill{transition:none}\n }\n<\/style>\n<\/head>\n<body>\n<div class=\"shell\">\n\n \n <div id=\"intro\">\n <div class=\"eyebrow\">GBTA AI Enablement Program<\/div>\n <h1>Which track fits your program?<\/h1>\n <p class=\"lede\">\n The AI Enablement curriculum runs on two tracks: <strong>Establishing<\/strong>, for building\n AI capability from the ground up, and <strong>Scaling<\/strong>, for managing and expanding AI\n that is already in use. This short assessment recommends the track that fits where you\n and your program are today.\n <\/p>\n <div class=\"card\">\n <h2>Before you start<\/h2>\n <p class=\"meta-note\" style=\"margin-top:8px\">\n Fourteen questions, about five minutes. The first six ask about your program as it is\n today; the rest are working-knowledge questions. Answer from what you know right now.\n “Not sure” and “Don’t know” are legitimate answers and\n will not be held against you; they simply help place you accurately.\n <\/p>\n <p class=\"meta-note\">Your answers are scored on this page and never leave your browser.<\/p>\n <div class=\"nav\" style=\"justify-content:flex-start\">\n <button class=\"btn-primary\" onclick=\"startQuiz()\">Start the assessment<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div id=\"quiz\" class=\"hidden\">\n <div class=\"eyebrow\">Track Fit Assessment<\/div>\n <div class=\"progress\" aria-hidden=\"true\">\n <div class=\"bar\"><span id=\"bar-fill\"><\/span><\/div>\n <b id=\"bar-label\"><\/b>\n <\/div>\n <div class=\"card\">\n <span class=\"section-tag\" id=\"q-section\"><\/span>\n <div class=\"qtext\" id=\"q-text\"><\/div>\n <div class=\"qhelp\" id=\"q-help\"><\/div>\n <div class=\"opts\" id=\"q-opts\" role=\"radiogroup\"><\/div>\n <div class=\"nav\">\n <button class=\"btn-ghost\" id=\"btn-back\" onclick=\"prevQ()\">Back<\/button>\n <button class=\"btn-primary\" id=\"btn-next\" onclick=\"nextQ()\" disabled>Next<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div id=\"results\" class=\"hidden\">\n <div class=\"eyebrow\">Your result<\/div>\n <h1>Recommended track<\/h1>\n <div class=\"card\">\n <div class=\"rec-band\">\n <div class=\"track-name\" id=\"rec-name\"><\/div>\n <p id=\"rec-line\"><\/p>\n <\/div>\n\n <div class=\"spectrum\" aria-hidden=\"true\">\n <div class=\"spec-rail\"><div class=\"spec-marker\" id=\"spec-marker\"><\/div><\/div>\n <div class=\"spec-labels\"><span>Establishing<\/span><span>Scaling<\/span><\/div>\n <\/div>\n\n <div class=\"scores\">\n <div class=\"score-row\">\n <label>Program maturity<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-mat\"><\/div><\/div>\n <output id=\"out-mat\"><\/output>\n <\/div>\n <div class=\"score-row\">\n <label>AI foundations<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-found\"><\/div><\/div>\n <output id=\"out-found\"><\/output>\n <\/div>\n <div class=\"score-row\">\n <label>Scaling readiness<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-scal\"><\/div><\/div>\n <output id=\"out-scal\"><\/output>\n <\/div>\n <\/div>\n\n <div class=\"why\">\n <h2>Why this recommendation<\/h2>\n <ul id=\"why-list\"><\/ul>\n <\/div>\n\n <div class=\"tracks\">\n <div class=\"track-card\" id=\"card-E\">\n <span class=\"pill hidden\" id=\"pill-E\">Recommended<\/span>\n <h3>Establishing Track<\/h3>\n <p>Build AI capability from the ground up: spot where AI helps your program, judge\n its output, set your first acceptable-use boundary, run your first use case end\n to end, and make it safe to scale.<\/p>\n <a href=\"#PLACEHOLDER-ESTABLISHING-PURCHASE-LINK\">Explore the Establishing Track →<\/a>\n <\/div>\n <div class=\"track-card\" id=\"card-S\">\n <span class=\"pill hidden\" id=\"pill-S\">Recommended<\/span>\n <h3>Scaling Track<\/h3>\n <p>Manage AI already in use: inventory and triage your portfolio, measure ROI that\n survives finance, govern at program scale, oversee agentic workflows, and win\n executive support.<\/p>\n <a href=\"#PLACEHOLDER-SCALING-PURCHASE-LINK\">Explore the Scaling Track →<\/a>\n <\/div>\n <\/div>\n\n <p class=\"foot-note\" id=\"routing-note\"><\/p>\n\n <div class=\"nav\" style=\"justify-content:flex-start\">\n <button class=\"btn-ghost\" onclick=\"restart()\">Retake the assessment<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n<\/div>\n\n<script>\n\"use strict\";\n\n\/* ================================================================\n QUESTION BANK\n Section A (a1\u2013a6): program-state questions. Factual, confirmable.\n Each option carries pts: 0 \/ 1 \/ 2. Max 12. Dimension: maturity.\n Section B: working knowledge.\n e1\u2013e4: foundations items, 1 pt each, max 4. Dimension: found.\n s1\u2013s4: scaling items, 2 pts each, max 8. Dimension: scal.\n \"Not sure \/ Don't know\" always scores 0 and is always offered.\n ================================================================ *\/\nconst QUESTIONS = [\n \/* ---------- Section A: your program today ---------- *\/\n { id:\"a1\", dim:\"mat\", section:\"Your program today\",\n text:\"Which statement best describes your organization\\u2019s use of AI in travel management today?\",\n help:\"Pick the one closest to reality, not to plans.\",\n opts:[\n {t:\"We proactively identify AI use cases and implement them\", p:2},\n {t:\"We mostly use AI features that arrive inside tools we already have (TMC, booking, expense)\", p:1},\n {t:\"We are not using AI in travel management\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a2\", dim:\"mat\", section:\"Your program today\",\n text:\"Does your company or travel program have a written rule, in any form, about what data may go into AI tools?\",\n help:\"A page in a policy, an annex, or a standalone note all count as written.\",\n opts:[\n {t:\"Yes, written down and in use\", p:2},\n {t:\"There is an informal understanding, but nothing written\", p:1},\n {t:\"No rule exists that I am aware of\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a3\", dim:\"mat\", section:\"Your program today\",\n text:\"Has your program measured time or cost results for at least one AI use case?\",\n help:\"Any honest measurement counts, even a simple one.\",\n opts:[\n {t:\"Yes, with figures I could show someone\", p:2},\n {t:\"We have estimated informally, nothing documented\", p:1},\n {t:\"No measurement has been done\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a4\", dim:\"mat\", section:\"Your program today\",\n text:\"Has any specialist function (IT, security, legal, procurement) reviewed an AI tool or feature your program uses?\",\n help:null,\n opts:[\n {t:\"Yes, at least one tool or feature has been through such a review\", p:2},\n {t:\"We use AI tools, but only the program itself has looked at them\", p:1},\n {t:\"No review has happened, or we use no AI tools\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a5\", dim:\"mat\", section:\"Your program today\",\n text:\"Could you list the AI features currently active inside your TMC portal, booking tool, and expense platform?\",\n help:\"Vendors often switch these on in releases.\",\n opts:[\n {t:\"Yes, I could name them\", p:2},\n {t:\"Some of them; I am not confident the list would be complete\", p:1},\n {t:\"No, I could not name them\", p:0},\n ]},\n { id:\"a6\", dim:\"mat\", section:\"Your program today\",\n text:\"How many different uses of AI do you know of in or around your program?\",\n help:\"Count anything: features inside your tools, things you or your team run, AI a vendor uses on your behalf. A rough estimate is fine.\",\n opts:[\n {t:\"Three or more\", p:2},\n {t:\"One or two\", p:1},\n {t:\"None\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n\n \/* ---------- Section B: working knowledge (foundations) ---------- *\/\n { id:\"e1\", dim:\"found\", section:\"Working knowledge\",\n text:\"Which of these tasks is the strongest first candidate for AI assistance?\",\n help:\"Answer from what you know today. \\u201cNot sure\\u201d is a legitimate answer.\",\n opts:[\n {t:\"Approving individual expense exceptions\", p:0},\n {t:\"Drafting a recurring monthly spend report\", p:1},\n {t:\"Making the decision on awarding a supplier contract\", p:0},\n {t:\"Responding to a traveler emergency\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e2\", dim:\"found\", section:\"Working knowledge\",\n text:\"You ask an AI assistant about your program\\u2019s hotel spend without attaching any data, and it answers with specific, confident figures. Those figures are most likely:\",\n help:null,\n opts:[\n {t:\"Accurate, since the assistant was trained on real industry data\", p:0},\n {t:\"Pulled from spend data the assistant can access automatically\", p:0},\n {t:\"Generated to look like a typical answer, and unverified\", p:1},\n {t:\"Reliable, since assistants only answer when they have the data\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e3\", dim:\"found\", section:\"Working knowledge\",\n text:\"Which of these should be routed to IT or legal before it goes into an AI tool?\",\n help:null,\n opts:[\n {t:\"A publicly published airline schedule\", p:0},\n {t:\"A supplier\\u2019s response to your RFP\", p:1},\n {t:\"Your own draft agenda for a team meeting\", p:0},\n {t:\"Published government per-diem rate tables\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e4\", dim:\"found\", section:\"Working knowledge\",\n text:\"The quality of an AI assistant\\u2019s output mostly depends on:\",\n help:null,\n opts:[\n {t:\"Which subscription tier of the model you pay for\", p:0},\n {t:\"How detailed the prompt text is\", p:0},\n {t:\"How many times you rerun the same request\", p:0},\n {t:\"The information you supply it: intent, data, and constraints\", p:1},\n {t:\"Not sure\", p:0},\n ]},\n\n \/* ---------- Section B: working knowledge (scaling) ---------- *\/\n { id:\"s1\", dim:\"scal\", section:\"Working knowledge\",\n text:\"When estimating the return on an AI use case, which cost is most often left out?\",\n help:null,\n opts:[\n {t:\"The subscription or usage cost of the tool\", p:0},\n {t:\"The time a person spends reviewing the output\", p:2},\n {t:\"The cost of the original software licenses\", p:0},\n {t:\"The one-time cost of learning the tool\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s2\", dim:\"scal\", section:\"Working knowledge\",\n text:\"An AI feature switches itself on inside your licensed expense platform after a vendor release. The appropriate response is:\",\n help:null,\n opts:[\n {t:\"No review is needed, since the platform is already approved\", p:0},\n {t:\"Disable it permanently as a matter of principle\", p:0},\n {t:\"This is IT\\u2019s concern, not the travel program\\u2019s\", p:0},\n {t:\"Give it the same due-diligence review as a new vendor\", p:2},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s3\", dim:\"scal\", section:\"Working knowledge\",\n text:\"What distinguishes an agentic AI workflow from a single-output tool?\",\n help:null,\n opts:[\n {t:\"A larger, more capable underlying model\", p:0},\n {t:\"Work continuing between steps without a human\", p:2},\n {t:\"A conversational chat-style interface\", p:0},\n {t:\"Noticeably faster response generation\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s4\", dim:\"scal\", section:\"Working knowledge\",\n text:\"In a report to leadership, \\u201cthe team recovered 14 hours last quarter, from tracked runs\\u201d is best classified as:\",\n help:null,\n opts:[\n {t:\"An aspirational claim\", p:0},\n {t:\"An observed claim\", p:2},\n {t:\"A projected claim\", p:0},\n {t:\"An unsupported claim, since it lacks a percentage\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n];\n\nconst MAX = { mat:12, found:4, scal:8 };\n\nlet idx = 0;\nconst answers = new Array(QUESTIONS.length).fill(null);\n\nfunction show(id){ [\"intro\",\"quiz\",\"results\"].forEach(x =>\n document.getElementById(x).classList.toggle(\"hidden\", x!==id)); }\n\nfunction startQuiz(){ idx = 0; show(\"quiz\"); renderQ(); }\n\nfunction renderQ(){\n const q = QUESTIONS[idx];\n document.getElementById(\"q-section\").textContent = q.section;\n document.getElementById(\"q-text\").textContent = q.text;\n document.getElementById(\"q-help\").textContent = q.help || \"\";\n document.getElementById(\"q-help\").style.display = q.help ? \"\" : \"none\";\n\n const wrap = document.getElementById(\"q-opts\");\n wrap.innerHTML = \"\";\n q.opts.forEach((o,i)=>{\n const lab = document.createElement(\"label\");\n lab.className = \"opt\";\n lab.innerHTML =\n `<input type=\"radio\" name=\"q\" value=\"${i}\" ${answers[idx]===i?\"checked\":\"\"}>` +\n `<span class=\"opt-body\"><span class=\"dot\"><\/span><span>${o.t}<\/span><\/span>`;\n lab.querySelector(\"input\").addEventListener(\"change\", ()=>{\n answers[idx] = i;\n document.getElementById(\"btn-next\").disabled = false;\n });\n wrap.appendChild(lab);\n });\n\n document.getElementById(\"btn-back\").style.visibility = idx===0 ? \"hidden\" : \"visible\";\n document.getElementById(\"btn-next\").textContent =\n idx === QUESTIONS.length-1 ? \"See my result\" : \"Next\";\n document.getElementById(\"btn-next\").disabled = answers[idx]===null;\n\n document.getElementById(\"bar-fill\").style.width =\n Math.round(idx \/ QUESTIONS.length * 100) + \"%\";\n document.getElementById(\"bar-label\").textContent =\n `Question ${idx+1} of ${QUESTIONS.length}`;\n window.scrollTo({top:0});\n}\n\nfunction nextQ(){\n if (answers[idx]===null) return;\n if (idx === QUESTIONS.length-1){ finish(); return; }\n idx++; renderQ();\n}\nfunction prevQ(){ if(idx>0){ idx--; renderQ(); } }\n\n\/* ================================================================\n SCORING & ROUTING\n mat 0\u201312 program maturity (Section A)\n found 0\u20134 foundations knowledge (e-items)\n scal 0\u20138 scaling-readiness knowledge (s-items)\n\n Rules, in order:\n R1 found <= 2 -> Establishing\n (foundational gaps; the Establishing Track exists to close them)\n R2 mat >= 7 AND found >= 3 AND scal >= 4 -> Scaling\n (program active, foundations sound, scaling concepts landing)\n R3 mat >= 9 AND found >= 3 -> Scaling\n (organization clearly implementing; foundations sound)\n R4 otherwise -> Establishing\n Challenge-up note shown when Establishing is recommended but\n mat >= 6 and found >= 3 (a near-miss profile).\n ================================================================ *\/\nfunction finish(){\n const score = { mat:0, found:0, scal:0 };\n QUESTIONS.forEach((q,i)=>{ score[q.dim] += q.opts[answers[i]].p; });\n\n let track, rule;\n if (score.found <= 2){ track=\"E\"; rule=\"R1\"; }\n else if (score.mat >= 7 && score.scal >= 4){ track=\"S\"; rule=\"R2\"; }\n else if (score.mat >= 9){ track=\"S\"; rule=\"R3\"; }\n else { track=\"E\"; rule=\"R4\"; }\n\n const nearMiss = (track===\"E\" && rule!==\"R1\" && score.mat >= 6 && score.found >= 3);\n\n \/* recommendation copy *\/\n const name = document.getElementById(\"rec-name\");\n const line = document.getElementById(\"rec-line\");\n if (track===\"E\"){\n name.textContent = \"Establishing Track\";\n line.textContent = \"Best fit: build the foundations first, on your own program\\u2019s tasks and data. Every artifact you create carries forward, and the Scaling Track remains open to you after the Establishing capstone.\";\n } else {\n name.textContent = \"Scaling Track\";\n line.textContent = \"Best fit: your organization is already using AI and your answers show the foundations in place. The Scaling Track starts from a portfolio that exists and makes it measured, governed, and executive-ready.\";\n }\n\n \/* spectrum marker: position from blended, normalized score *\/\n const blend = (score.mat\/MAX.mat)*0.45 + (score.found\/MAX.found)*0.2 + (score.scal\/MAX.scal)*0.35;\n const pct = Math.min(96, Math.max(4, Math.round(blend*100)));\n\n \/* why bullets *\/\n const why = [];\n why.push(score.mat >= 7\n ? `Program maturity ${score.mat}\/12: your organization is actively using AI and has structure around it.`\n : score.mat >= 4\n ? `Program maturity ${score.mat}\/12: some AI is in use, with limited structure around it so far.`\n : `Program maturity ${score.mat}\/12: AI use in the program is early or unmapped.`);\n why.push(score.found >= 3\n ? `AI foundations ${score.found}\/4: the core judgment concepts (task fit, output verification, data caution) are in place.`\n : `AI foundations ${score.found}\/4: the Establishing Track\\u2019s core concepts (task fit, output verification, data caution) are where the gap is, and they are exactly what it teaches.`);\n why.push(score.scal >= 4\n ? `Scaling readiness ${score.scal}\/8: ROI arithmetic, vendor governance, and agentic-workflow concepts are landing.`\n : `Scaling readiness ${score.scal}\/8: the Scaling Track\\u2019s material (ROI measurement, program governance, agentic oversight) is largely ahead of you, which is normal at this stage.`);\n \/* fourth bullet: the deciding factor, keyed to the fired rule *\/\n const decide = {\n R1: `foundations came in at ${score.found}\/4, and the Establishing Track exists to close exactly that gap. Organizational maturity cannot substitute for it.`,\n R2: `all three thresholds cleared: an active program (${score.mat}\/12), sound foundations (${score.found}\/4), and scaling concepts landing (${score.scal}\/8).`,\n R3: `your organization\\u2019s AI use is advanced enough (${score.mat}\/12) that the Scaling Track\\u2019s portfolio and governance work maps directly onto your reality, and your foundations are sound (${score.found}\/4).`,\n R4: `foundations are in place, but program maturity (${score.mat}\/12) and scaling readiness (${score.scal}\/8) sit below the line where the Scaling Track\\u2019s exercises have real program material to work on. The Establishing Track builds that material.`,\n };\n const ul = document.getElementById(\"why-list\");\n ul.innerHTML = \"\";\n why.forEach(w=>{ const li=document.createElement(\"li\"); li.textContent=w; ul.appendChild(li); });\n const dli = document.createElement(\"li\");\n const strong = document.createElement(\"strong\");\n strong.textContent = \"The deciding factor: \";\n dli.appendChild(strong);\n dli.appendChild(document.createTextNode(decide[rule]));\n ul.appendChild(dli);\n\n \/* routing note *\/\n const note = document.getElementById(\"routing-note\");\n if (track===\"E\"){\n note.textContent = nearMiss\n ? \"You landed close to the line. The Establishing Track will move quickly for you, and after its capstone you can step directly into the Scaling Track; nothing is repeated, and every artifact carries forward.\"\n : \"Placement is not permanent: after the Establishing capstone you can continue directly into the Scaling Track.\";\n } else {\n note.textContent = \"If the Scaling capstone surfaces gaps, the relevant Establishing lessons remain available to you; the tracks are built to hand off in both directions.\";\n }\n\n \/* fill visuals *\/\n show(\"results\");\n requestAnimationFrame(()=>{\n document.getElementById(\"spec-marker\").style.left = pct + \"%\";\n setFill(\"fill-mat\",\"out-mat\",score.mat,MAX.mat);\n setFill(\"fill-found\",\"out-found\",score.found,MAX.found);\n setFill(\"fill-scal\",\"out-scal\",score.scal,MAX.scal);\n });\n\n document.getElementById(\"pill-E\").classList.toggle(\"hidden\", track!==\"E\");\n document.getElementById(\"pill-S\").classList.toggle(\"hidden\", track!==\"S\");\n document.getElementById(\"card-E\").classList.toggle(\"recommended\", track===\"E\");\n document.getElementById(\"card-S\").classList.toggle(\"recommended\", track===\"S\");\n window.scrollTo({top:0});\n}\n\nfunction setFill(fillId,outId,val,max){\n document.getElementById(fillId).style.width = Math.round(val\/max*100)+\"%\";\n document.getElementById(outId).textContent = `${val} \/ ${max}`;\n}\n\nfunction restart(){\n answers.fill(null); idx = 0;\n show(\"intro\"); window.scrollTo({top:0});\n}\n<\/script>\n<\/body>\n<\/html>","protected":false},"excerpt":{"rendered":"<p>AI Enablement Program | Track Fit Assessment GBTA AI Enablement Program Which track fits your program? 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{"id":35273,"date":"2026-09-01T10:55:47","date_gmt":"2026-09-01T14:55:47","guid":{"rendered":"https:\/\/gbta.org\/?page_id=35273"},"modified":"2026-10-19T13:46:24","modified_gmt":"2026-10-19T17:46:24","slug":"ai-pathways-getting-started","status":"publish","type":"page","link":"https:\/\/gbta.org\/fr\/ai-pathways-getting-started\/","title":{"rendered":"AI Pathways: Getting Started"},"content":{"rendered":"\n\n\n\n\nAI Enablement Program | Track Fit Assessment<\/title>\n<style>\n :root{\n \/* Brandable tokens: adjust to site palette on upload *\/\n --navy:#1b2f4b;\n --navy-soft:#44546a;\n --accent:#e87722; \/* GBTA orange *\/\n --accent-deep:#c05f10;\n --paper:#ffffff;\n --wash:#f5f6f8;\n --line:#dde1e7;\n --good:#2e7d5b;\n --radius:10px;\n --maxw:760px;\n }\n *{box-sizing:border-box;margin:0;padding:0}\n html{font-size:16px}\n body{\n font-family:\"Avenir Next\",\"Segoe UI\",Inter,system-ui,-apple-system,sans-serif;\n color:var(--navy);background:var(--wash);\n 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<div class=\"eyebrow\">GBTA AI Enablement Program<\/div>\n <h1>Which track fits your program?<\/h1>\n <p class=\"lede\">\n The AI Enablement curriculum runs on two tracks: <strong>Establishing<\/strong>, for building\n AI capability from the ground up, and <strong>Scaling<\/strong>, for managing and expanding AI\n that is already in use. This short assessment recommends the track that fits where you\n and your program are today.\n <\/p>\n <div class=\"card\">\n <h2>Before you start<\/h2>\n <p class=\"meta-note\" style=\"margin-top:8px\">\n Fourteen questions, about five minutes. The first six ask about your program as it is\n today; the rest are working-knowledge questions. Answer from what you know right now.\n “Not sure” and “Don’t know” are legitimate answers and\n will not be held against you; they simply help place you accurately.\n <\/p>\n <p class=\"meta-note\">Your answers are scored on this page and never leave your browser.<\/p>\n <div class=\"nav\" style=\"justify-content:flex-start\">\n <button class=\"btn-primary\" onclick=\"startQuiz()\">Start the assessment<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div id=\"quiz\" class=\"hidden\">\n <div class=\"eyebrow\">Track Fit Assessment<\/div>\n <div class=\"progress\" aria-hidden=\"true\">\n <div class=\"bar\"><span id=\"bar-fill\"><\/span><\/div>\n <b id=\"bar-label\"><\/b>\n <\/div>\n <div class=\"card\">\n <span class=\"section-tag\" id=\"q-section\"><\/span>\n <div class=\"qtext\" id=\"q-text\"><\/div>\n <div class=\"qhelp\" id=\"q-help\"><\/div>\n <div class=\"opts\" id=\"q-opts\" role=\"radiogroup\"><\/div>\n <div class=\"nav\">\n <button class=\"btn-ghost\" id=\"btn-back\" onclick=\"prevQ()\">Back<\/button>\n <button class=\"btn-primary\" id=\"btn-next\" onclick=\"nextQ()\" disabled>Next<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n \n <div id=\"results\" class=\"hidden\">\n <div class=\"eyebrow\">Your result<\/div>\n <h1>Recommended track<\/h1>\n <div class=\"card\">\n <div class=\"rec-band\">\n <div class=\"track-name\" id=\"rec-name\"><\/div>\n <p id=\"rec-line\"><\/p>\n <\/div>\n\n <div class=\"spectrum\" aria-hidden=\"true\">\n <div class=\"spec-rail\"><div class=\"spec-marker\" id=\"spec-marker\"><\/div><\/div>\n <div class=\"spec-labels\"><span>Establishing<\/span><span>Scaling<\/span><\/div>\n <\/div>\n\n <div class=\"scores\">\n <div class=\"score-row\">\n <label>Program maturity<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-mat\"><\/div><\/div>\n <output id=\"out-mat\"><\/output>\n <\/div>\n <div class=\"score-row\">\n <label>AI foundations<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-found\"><\/div><\/div>\n <output id=\"out-found\"><\/output>\n <\/div>\n <div class=\"score-row\">\n <label>Scaling readiness<\/label>\n <div class=\"score-track\"><div class=\"score-fill\" id=\"fill-scal\"><\/div><\/div>\n <output id=\"out-scal\"><\/output>\n <\/div>\n <\/div>\n\n <div class=\"why\">\n <h2>Why this recommendation<\/h2>\n <ul id=\"why-list\"><\/ul>\n <\/div>\n\n <div class=\"tracks\">\n <div class=\"track-card\" id=\"card-E\">\n <span class=\"pill hidden\" id=\"pill-E\">Recommended<\/span>\n <h3>Establishing Track<\/h3>\n <p>Build AI capability from the ground up: spot where AI helps your program, judge\n its output, set your first acceptable-use boundary, run your first use case end\n to end, and make it safe to scale.<\/p>\n <a href=\"#PLACEHOLDER-ESTABLISHING-PURCHASE-LINK\">Explore the Establishing Track →<\/a>\n <\/div>\n <div class=\"track-card\" id=\"card-S\">\n <span class=\"pill hidden\" id=\"pill-S\">Recommended<\/span>\n <h3>Scaling Track<\/h3>\n <p>Manage AI already in use: inventory and triage your portfolio, measure ROI that\n survives finance, govern at program scale, oversee agentic workflows, and win\n executive support.<\/p>\n <a href=\"#PLACEHOLDER-SCALING-PURCHASE-LINK\">Explore the Scaling Track →<\/a>\n <\/div>\n <\/div>\n\n <p class=\"foot-note\" id=\"routing-note\"><\/p>\n\n <div class=\"nav\" style=\"justify-content:flex-start\">\n <button class=\"btn-ghost\" onclick=\"restart()\">Retake the assessment<\/button>\n <\/div>\n <\/div>\n <\/div>\n\n<\/div>\n\n<script>\n\"use strict\";\n\n\/* ================================================================\n QUESTION BANK\n Section A (a1\u2013a6): program-state questions. Factual, confirmable.\n Each option carries pts: 0 \/ 1 \/ 2. Max 12. Dimension: maturity.\n Section B: working knowledge.\n e1\u2013e4: foundations items, 1 pt each, max 4. Dimension: found.\n s1\u2013s4: scaling items, 2 pts each, max 8. Dimension: scal.\n \"Not sure \/ Don't know\" always scores 0 and is always offered.\n ================================================================ *\/\nconst QUESTIONS = [\n \/* ---------- Section A: your program today ---------- *\/\n { id:\"a1\", dim:\"mat\", section:\"Your program today\",\n text:\"Which statement best describes your organization\\u2019s use of AI in travel management today?\",\n help:\"Pick the one closest to reality, not to plans.\",\n opts:[\n {t:\"We proactively identify AI use cases and implement them\", p:2},\n {t:\"We mostly use AI features that arrive inside tools we already have (TMC, booking, expense)\", p:1},\n {t:\"We are not using AI in travel management\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a2\", dim:\"mat\", section:\"Your program today\",\n text:\"Does your company or travel program have a written rule, in any form, about what data may go into AI tools?\",\n help:\"A page in a policy, an annex, or a standalone note all count as written.\",\n opts:[\n {t:\"Yes, written down and in use\", p:2},\n {t:\"There is an informal understanding, but nothing written\", p:1},\n {t:\"No rule exists that I am aware of\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a3\", dim:\"mat\", section:\"Your program today\",\n text:\"Has your program measured time or cost results for at least one AI use case?\",\n help:\"Any honest measurement counts, even a simple one.\",\n opts:[\n {t:\"Yes, with figures I could show someone\", p:2},\n {t:\"We have estimated informally, nothing documented\", p:1},\n {t:\"No measurement has been done\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a4\", dim:\"mat\", section:\"Your program today\",\n text:\"Has any specialist function (IT, security, legal, procurement) reviewed an AI tool or feature your program uses?\",\n help:null,\n opts:[\n {t:\"Yes, at least one tool or feature has been through such a review\", p:2},\n {t:\"We use AI tools, but only the program itself has looked at them\", p:1},\n {t:\"No review has happened, or we use no AI tools\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n { id:\"a5\", dim:\"mat\", section:\"Your program today\",\n text:\"Could you list the AI features currently active inside your TMC portal, booking tool, and expense platform?\",\n help:\"Vendors often switch these on in releases.\",\n opts:[\n {t:\"Yes, I could name them\", p:2},\n {t:\"Some of them; I am not confident the list would be complete\", p:1},\n {t:\"No, I could not name them\", p:0},\n ]},\n { id:\"a6\", dim:\"mat\", section:\"Your program today\",\n text:\"How many different uses of AI do you know of in or around your program?\",\n help:\"Count anything: features inside your tools, things you or your team run, AI a vendor uses on your behalf. A rough estimate is fine.\",\n opts:[\n {t:\"Three or more\", p:2},\n {t:\"One or two\", p:1},\n {t:\"None\", p:0},\n {t:\"I don\\u2019t know\", p:0},\n ]},\n\n \/* ---------- Section B: working knowledge (foundations) ---------- *\/\n { id:\"e1\", dim:\"found\", section:\"Working knowledge\",\n text:\"Which of these tasks is the strongest first candidate for AI assistance?\",\n help:\"Answer from what you know today. \\u201cNot sure\\u201d is a legitimate answer.\",\n opts:[\n {t:\"Approving individual expense exceptions\", p:0},\n {t:\"Drafting a recurring monthly spend report\", p:1},\n {t:\"Making the decision on awarding a supplier contract\", p:0},\n {t:\"Responding to a traveler emergency\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e2\", dim:\"found\", section:\"Working knowledge\",\n text:\"You ask an AI assistant about your program\\u2019s hotel spend without attaching any data, and it answers with specific, confident figures. Those figures are most likely:\",\n help:null,\n opts:[\n {t:\"Accurate, since the assistant was trained on real industry data\", p:0},\n {t:\"Pulled from spend data the assistant can access automatically\", p:0},\n {t:\"Generated to look like a typical answer, and unverified\", p:1},\n {t:\"Reliable, since assistants only answer when they have the data\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e3\", dim:\"found\", section:\"Working knowledge\",\n text:\"Which of these should be routed to IT or legal before it goes into an AI tool?\",\n help:null,\n opts:[\n {t:\"A publicly published airline schedule\", p:0},\n {t:\"A supplier\\u2019s response to your RFP\", p:1},\n {t:\"Your own draft agenda for a team meeting\", p:0},\n {t:\"Published government per-diem rate tables\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"e4\", dim:\"found\", section:\"Working knowledge\",\n text:\"The quality of an AI assistant\\u2019s output mostly depends on:\",\n help:null,\n opts:[\n {t:\"Which subscription tier of the model you pay for\", p:0},\n {t:\"How detailed the prompt text is\", p:0},\n {t:\"How many times you rerun the same request\", p:0},\n {t:\"The information you supply it: intent, data, and constraints\", p:1},\n {t:\"Not sure\", p:0},\n ]},\n\n \/* ---------- Section B: working knowledge (scaling) ---------- *\/\n { id:\"s1\", dim:\"scal\", section:\"Working knowledge\",\n text:\"When estimating the return on an AI use case, which cost is most often left out?\",\n help:null,\n opts:[\n {t:\"The subscription or usage cost of the tool\", p:0},\n {t:\"The time a person spends reviewing the output\", p:2},\n {t:\"The cost of the original software licenses\", p:0},\n {t:\"The one-time cost of learning the tool\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s2\", dim:\"scal\", section:\"Working knowledge\",\n text:\"An AI feature switches itself on inside your licensed expense platform after a vendor release. The appropriate response is:\",\n help:null,\n opts:[\n {t:\"No review is needed, since the platform is already approved\", p:0},\n {t:\"Disable it permanently as a matter of principle\", p:0},\n {t:\"This is IT\\u2019s concern, not the travel program\\u2019s\", p:0},\n {t:\"Give it the same due-diligence review as a new vendor\", p:2},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s3\", dim:\"scal\", section:\"Working knowledge\",\n text:\"What distinguishes an agentic AI workflow from a single-output tool?\",\n help:null,\n opts:[\n {t:\"A larger, more capable underlying model\", p:0},\n {t:\"Work continuing between steps without a human\", p:2},\n {t:\"A conversational chat-style interface\", p:0},\n {t:\"Noticeably faster response generation\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n { id:\"s4\", dim:\"scal\", section:\"Working knowledge\",\n text:\"In a report to leadership, \\u201cthe team recovered 14 hours last quarter, from tracked runs\\u201d is best classified as:\",\n help:null,\n opts:[\n {t:\"An aspirational claim\", p:0},\n {t:\"An observed claim\", p:2},\n {t:\"A projected claim\", p:0},\n {t:\"An unsupported claim, since it lacks a percentage\", p:0},\n {t:\"Not sure\", p:0},\n ]},\n];\n\nconst MAX = { mat:12, found:4, scal:8 };\n\nlet idx = 0;\nconst answers = new Array(QUESTIONS.length).fill(null);\n\nfunction show(id){ [\"intro\",\"quiz\",\"results\"].forEach(x =>\n document.getElementById(x).classList.toggle(\"hidden\", x!==id)); }\n\nfunction startQuiz(){ idx = 0; show(\"quiz\"); renderQ(); }\n\nfunction renderQ(){\n const q = QUESTIONS[idx];\n document.getElementById(\"q-section\").textContent = q.section;\n document.getElementById(\"q-text\").textContent = q.text;\n document.getElementById(\"q-help\").textContent = q.help || \"\";\n document.getElementById(\"q-help\").style.display = q.help ? \"\" : \"none\";\n\n const wrap = document.getElementById(\"q-opts\");\n wrap.innerHTML = \"\";\n q.opts.forEach((o,i)=>{\n const lab = document.createElement(\"label\");\n lab.className = \"opt\";\n lab.innerHTML =\n `<input type=\"radio\" name=\"q\" value=\"${i}\" ${answers[idx]===i?\"checked\":\"\"}>` +\n `<span class=\"opt-body\"><span class=\"dot\"><\/span><span>${o.t}<\/span><\/span>`;\n lab.querySelector(\"input\").addEventListener(\"change\", ()=>{\n answers[idx] = i;\n document.getElementById(\"btn-next\").disabled = false;\n });\n wrap.appendChild(lab);\n });\n\n document.getElementById(\"btn-back\").style.visibility = idx===0 ? \"hidden\" : \"visible\";\n document.getElementById(\"btn-next\").textContent =\n idx === QUESTIONS.length-1 ? \"See my result\" : \"Next\";\n document.getElementById(\"btn-next\").disabled = answers[idx]===null;\n\n document.getElementById(\"bar-fill\").style.width =\n Math.round(idx \/ QUESTIONS.length * 100) + \"%\";\n document.getElementById(\"bar-label\").textContent =\n `Question ${idx+1} of ${QUESTIONS.length}`;\n window.scrollTo({top:0});\n}\n\nfunction nextQ(){\n if (answers[idx]===null) return;\n if (idx === QUESTIONS.length-1){ finish(); return; }\n idx++; renderQ();\n}\nfunction prevQ(){ if(idx>0){ idx--; renderQ(); } }\n\n\/* ================================================================\n SCORING & ROUTING\n mat 0\u201312 program maturity (Section A)\n found 0\u20134 foundations knowledge (e-items)\n scal 0\u20138 scaling-readiness knowledge (s-items)\n\n Rules, in order:\n R1 found <= 2 -> Establishing\n (foundational gaps; the Establishing Track exists to close them)\n R2 mat >= 7 AND found >= 3 AND scal >= 4 -> Scaling\n (program active, foundations sound, scaling concepts landing)\n R3 mat >= 9 AND found >= 3 -> Scaling\n (organization clearly implementing; foundations sound)\n R4 otherwise -> Establishing\n Challenge-up note shown when Establishing is recommended but\n mat >= 6 and found >= 3 (a near-miss profile).\n ================================================================ *\/\nfunction finish(){\n const score = { mat:0, found:0, scal:0 };\n QUESTIONS.forEach((q,i)=>{ score[q.dim] += q.opts[answers[i]].p; });\n\n let track, rule;\n if (score.found <= 2){ track=\"E\"; rule=\"R1\"; }\n else if (score.mat >= 7 && score.scal >= 4){ track=\"S\"; rule=\"R2\"; }\n else if (score.mat >= 9){ track=\"S\"; rule=\"R3\"; }\n else { track=\"E\"; rule=\"R4\"; }\n\n const nearMiss = (track===\"E\" && rule!==\"R1\" && score.mat >= 6 && score.found >= 3);\n\n \/* recommendation copy *\/\n const name = document.getElementById(\"rec-name\");\n const line = document.getElementById(\"rec-line\");\n if (track===\"E\"){\n name.textContent = \"Establishing Track\";\n line.textContent = \"Best fit: build the foundations first, on your own program\\u2019s tasks and data. Every artifact you create carries forward, and the Scaling Track remains open to you after the Establishing capstone.\";\n } else {\n name.textContent = \"Scaling Track\";\n line.textContent = \"Best fit: your organization is already using AI and your answers show the foundations in place. The Scaling Track starts from a portfolio that exists and makes it measured, governed, and executive-ready.\";\n }\n\n \/* spectrum marker: position from blended, normalized score *\/\n const blend = (score.mat\/MAX.mat)*0.45 + (score.found\/MAX.found)*0.2 + (score.scal\/MAX.scal)*0.35;\n const pct = Math.min(96, Math.max(4, Math.round(blend*100)));\n\n \/* why bullets *\/\n const why = [];\n why.push(score.mat >= 7\n ? `Program maturity ${score.mat}\/12: your organization is actively using AI and has structure around it.`\n : score.mat >= 4\n ? `Program maturity ${score.mat}\/12: some AI is in use, with limited structure around it so far.`\n : `Program maturity ${score.mat}\/12: AI use in the program is early or unmapped.`);\n why.push(score.found >= 3\n ? `AI foundations ${score.found}\/4: the core judgment concepts (task fit, output verification, data caution) are in place.`\n : `AI foundations ${score.found}\/4: the Establishing Track\\u2019s core concepts (task fit, output verification, data caution) are where the gap is, and they are exactly what it teaches.`);\n why.push(score.scal >= 4\n ? `Scaling readiness ${score.scal}\/8: ROI arithmetic, vendor governance, and agentic-workflow concepts are landing.`\n : `Scaling readiness ${score.scal}\/8: the Scaling Track\\u2019s material (ROI measurement, program governance, agentic oversight) is largely ahead of you, which is normal at this stage.`);\n \/* fourth bullet: the deciding factor, keyed to the fired rule *\/\n const decide = {\n R1: `foundations came in at ${score.found}\/4, and the Establishing Track exists to close exactly that gap. Organizational maturity cannot substitute for it.`,\n R2: `all three thresholds cleared: an active program (${score.mat}\/12), sound foundations (${score.found}\/4), and scaling concepts landing (${score.scal}\/8).`,\n R3: `your organization\\u2019s AI use is advanced enough (${score.mat}\/12) that the Scaling Track\\u2019s portfolio and governance work maps directly onto your reality, and your foundations are sound (${score.found}\/4).`,\n R4: `foundations are in place, but program maturity (${score.mat}\/12) and scaling readiness (${score.scal}\/8) sit below the line where the Scaling Track\\u2019s exercises have real program material to work on. The Establishing Track builds that material.`,\n };\n const ul = document.getElementById(\"why-list\");\n ul.innerHTML = \"\";\n why.forEach(w=>{ const li=document.createElement(\"li\"); li.textContent=w; ul.appendChild(li); });\n const dli = document.createElement(\"li\");\n const strong = document.createElement(\"strong\");\n strong.textContent = \"The deciding factor: \";\n dli.appendChild(strong);\n dli.appendChild(document.createTextNode(decide[rule]));\n ul.appendChild(dli);\n\n \/* routing note *\/\n const note = document.getElementById(\"routing-note\");\n if (track===\"E\"){\n note.textContent = nearMiss\n ? \"You landed close to the line. The Establishing Track will move quickly for you, and after its capstone you can step directly into the Scaling Track; nothing is repeated, and every artifact carries forward.\"\n : \"Placement is not permanent: after the Establishing capstone you can continue directly into the Scaling Track.\";\n } else {\n note.textContent = \"If the Scaling capstone surfaces gaps, the relevant Establishing lessons remain available to you; the tracks are built to hand off in both directions.\";\n }\n\n \/* fill visuals *\/\n show(\"results\");\n requestAnimationFrame(()=>{\n document.getElementById(\"spec-marker\").style.left = pct + \"%\";\n setFill(\"fill-mat\",\"out-mat\",score.mat,MAX.mat);\n setFill(\"fill-found\",\"out-found\",score.found,MAX.found);\n setFill(\"fill-scal\",\"out-scal\",score.scal,MAX.scal);\n });\n\n document.getElementById(\"pill-E\").classList.toggle(\"hidden\", track!==\"E\");\n document.getElementById(\"pill-S\").classList.toggle(\"hidden\", track!==\"S\");\n document.getElementById(\"card-E\").classList.toggle(\"recommended\", track===\"E\");\n document.getElementById(\"card-S\").classList.toggle(\"recommended\", track===\"S\");\n window.scrollTo({top:0});\n}\n\nfunction setFill(fillId,outId,val,max){\n document.getElementById(fillId).style.width = Math.round(val\/max*100)+\"%\";\n document.getElementById(outId).textContent = `${val} \/ ${max}`;\n}\n\nfunction restart(){\n answers.fill(null); idx = 0;\n show(\"intro\"); window.scrollTo({top:0});\n}\n<\/script>\n<\/body>\n<\/html>","protected":false},"excerpt":{"rendered":"<p>AI Enablement Program | Track Fit Assessment GBTA AI Enablement Program Which track fits your program? The AI Enablement curriculum runs on two tracks: Establishing, for building AI capability from…<\/p>","protected":false},"author":25,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"AI Pathways: Getting Started","_seopress_titles_desc":"","_seopress_robots_index":"yes","om_disable_all_campaigns":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"1097,21746,2462,2504,15425,26410","_relevanssi_noindex_reason":"","_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-35273","page","type-page","status-publish","hentry"],"acf":[],"featured_image_src_large":false,"author_info":{"display_name":"jcampbell","author_link":"https:\/\/gbta.org\/fr\/author\/jcampbell\/"},"comment_info":"","taxonomy_info":[],"featured_image_src":null,"featured_image_src_square":null,"mfb_rest_fields":["featured_image_src_large","author_info","comment_info","taxonomy_info","featured_image_src","featured_image_src_square"],"_links":{"self":[{"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/pages\/35273","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/comments?post=35273"}],"version-history":[{"count":4,"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/pages\/35273\/revisions"}],"predecessor-version":[{"id":35280,"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/pages\/35273\/revisions\/35280"}],"wp:attachment":[{"href":"https:\/\/gbta.org\/fr\/wp-json\/wp\/v2\/media?parent=35273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}