{"id":224377,"date":"2025-07-03T11:39:26","date_gmt":"2025-07-03T11:39:26","guid":{"rendered":"https:\/\/staging.zycus.com\/?p=224377"},"modified":"2025-07-03T11:43:17","modified_gmt":"2025-07-03T11:43:17","slug":"ai-trust-gap-in-procurement","status":"publish","type":"post","link":"https:\/\/dev.zycus.com\/freshz\/blog\/ai-agents\/ai-trust-gap-in-procurement","title":{"rendered":"The AI Trust Gap: Why Procurement Leaders Are Hesitant to Go Fully Autonomous"},"content":{"rendered":"<p>AI is transforming procurement\u2014from automating tasks to predicting supplier risks and optimizing sourcing. Yet, despite its potential, many procurement leaders remain cautious about going fully autonomous. The Quantum Leap Survey reveals a significant AI trust gap, uncovering why organizations hesitate and what it takes to confidently bridge the divide between humans and intelligent systems.<\/p>\n<h2>TL;DR<\/h2>\n<ul>\n<li>Many procurement leaders are excited about AI but hesitate to trust it for fully autonomous decision-making, as revealed by a 40.2\/100 AI readiness score.<\/li>\n<li>Key concerns include AI\u2019s \u201cblack box\u201d lack of transparency, potential bias from historical data, and a lack of governance frameworks for oversight.<\/li>\n<li>Over-relying on AI without proper controls risks spend misclassification, compliance issues, and weakened supplier diversity.<\/li>\n<li>To bridge the AI trust gap, organizations need governance frameworks, explainable AI models, ethical AI practices, and team training for human-AI collaboration.<\/li>\n<li>Procurement\u2019s future isn\u2019t about removing humans\u2014it\u2019s about combining AI\u2019s speed with human expertise for smarter, more strategic decisions.<\/li>\n<\/ul>\n<h2>The AI Trust Gap in Procurement: Why Leaders Remain Cautious<\/h2>\n<p>AI is changing procurement\u2014<strong>from automating approvals to predicting supplier risks and optimizing sourcing strategies<\/strong>. But despite all the benefits, many procurement leaders <strong>still don\u2019t trust AI enough to let it operate autonomously.<\/strong><\/p>\n<p>The <a href=\"https:\/\/dev.zycus.com\/freshz\/knowledge-hub\/research-report\/the-quantum-leap-in-procurement\"><strong>Quantum Leap Survey<\/strong> uncovered a <strong>40.2\/100 AI readiness score<\/strong><\/a>, meaning most procurement teams <strong>aren\u2019t fully prepared to rely on AI for high-stakes decisions.<\/strong><\/p>\n<p>Why the hesitation?<\/p>\n<ul>\n<li>Can procurement teams trust AI to make unbiased, data-driven decisions?<\/li>\n<li>Will AI create hidden risks in supplier selection and negotiations?<\/li>\n<li>How much human oversight is needed to keep AI accountable?<\/li>\n<\/ul>\n<p>These are <strong>real concerns<\/strong>\u2014but they don\u2019t mean AI should be ignored. This blog breaks down why procurement teams hesitate, the risks of over-relying on AI without proper governance, and how to bridge the AI trust gap<strong>.<\/strong><\/p>\n<h2>Why Procurement Leaders Struggle to Trust Autonomous AI<\/h2>\n<p>AI in procurement <strong>sounds like a game-changer\u2014faster sourcing, smarter negotiations, and real-time risk monitoring.<\/strong> So why aren\u2019t more procurement teams going all-in? The answer isn\u2019t about AI\u2019s capabilities\u2014it\u2019s about <strong>trust.<\/strong><\/p>\n<p>Here\u2019s what\u2019s holding procurement leaders back:<\/p>\n<h3>1. The Black Box Problem: Why AI Transparency Builds Trust<\/h3>\n<p>AI processes <strong>huge amounts of data and makes decisions in seconds<\/strong>, but here\u2019s the catch\u2014<strong>how does it arrive at those decisions?<\/strong> If procurement teams can\u2019t see <strong>why<\/strong> AI flagged a supplier as high-risk or <strong>why<\/strong> it recommended a contract change, it\u2019s hard to trust the outcome. <strong>No transparency = no trust.<\/strong><\/p>\n<p><strong>Read more:<\/strong> <a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/ai-barriers-in-procurement-cpo-rising-2025\">Overcoming Internal Barriers to AI: Skills, data, and Change Management in Procurement<\/a><\/p>\n<h3>2. AI Bias \u2013 Is It Really Unbiased?<\/h3>\n<p>AI learns from <strong>historical procurement data<\/strong>, but what if that data has <strong>inherent biases?<\/strong> If past purchasing decisions favored certain suppliers over others, <strong>AI could unknowingly reinforce those biases<\/strong>\u2014leading to unfair <a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/supplier-management\/supplier-performance-evaluation-a-quick-checklist\">supplier evaluations<\/a> and missed cost-saving opportunities.<\/p>\n<h3>3. The Governance &amp; Control Gap \u2013 Who\u2019s in Charge?<\/h3>\n<p>AI can make <strong>faster decisions<\/strong> than humans, but without the right governance, <strong>who\u2019s accountable when AI gets it wrong?<\/strong><\/p>\n<ul>\n<li>Only 35% of procurement organizations have AI governance frameworks in place.<\/li>\n<li>That means AI could approve contracts, classify spend, or flag supplier risks without clear human oversight.<\/li>\n<li>Procurement teams <strong>need control mechanisms<\/strong> to review AI-driven decisions before they\u2019re executed.<\/li>\n<\/ul>\n<h3>4. The AI Skills Gap \u2013 Do Procurement Teams Have the Expertise?<\/h3>\n<p>AI isn\u2019t just a <strong>plug-and-play tool<\/strong>\u2014it requires procurement teams to <strong>interpret AI insights, adjust strategies, and collaborate with AI systems.<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/www.thehackettgroup.com\/the-hackett-group-procurement-leaders-say-ai-will-transform-their-jobs\/\" target=\"_blank\" rel=\"nofollow noopener\">35.3% of procurement leaders cite lack of AI expertise as a top challenge (Hackett Group)<\/a><\/li>\n<li>Even when AI is implemented, <strong>if teams don\u2019t understand how to use it, they default back to manual processes\u2014wasting AI\u2019s full potential.<\/strong><\/li>\n<\/ul>\n<h2>Why Blindly Trusting AI in Procurement Can Backfire<\/h2>\n<p>AI can <strong>supercharge procurement<\/strong>, but that doesn\u2019t mean it should run on autopilot. <strong>Without the right checks and balances, AI can create as many risks as it solves.<\/strong><\/p>\n<p>Here\u2019s what happens when organizations <strong>blindly trust AI without proper governance:<\/strong><\/p>\n<h3>AI Misclassifies Spend, Leading to Financial Leaks<\/h3>\n<p>AI <strong>classifies spend faster than humans<\/strong>, but if the data is incomplete or misleading, <strong>it can misallocate budgets<\/strong>\u2014 causing <strong>financial discrepancies and compliance risks.<\/strong><br \/>\n<strong>Example:<\/strong> AI might misclassify a cybersecurity software purchase as \u201cIT hardware,\u201d impacting budget tracking and reporting accuracy.<\/p>\n<h3>Regulatory &amp; Compliance Pitfalls<\/h3>\n<p>Procurement operates under <strong>strict regulations\u2014anti-corruption laws, ESG compliance, supplier diversity requirements.<\/strong><\/p>\n<ul>\n<li>AI <strong>must be trained to follow these policies<\/strong>, but without human oversight, it <strong>might approve purchases or suppliers that don\u2019t meet regulatory standards.<\/strong><\/li>\n<li><strong>Only 35% of procurement organizations<\/strong> have an AI governance framework in place\u2014<strong>meaning the majority lack clear guidelines on how AI-driven decisions align with compliance.<\/strong><\/li>\n<\/ul>\n<h3>Unchecked AI Bias Can Lead to Supplier Discrimination<\/h3>\n<p>AI learns from <strong>historical procurement data<\/strong>, but what if <strong>that data is biased?<\/strong><\/p>\n<ul>\n<li>AI could <strong>favor large, established suppliers<\/strong> over smaller, diverse vendors, <strong>reinforcing existing biases<\/strong> instead of fixing them.<\/li>\n<li>Without <strong>bias-detection safeguards<\/strong>, organizations risk AI-driven decisions that <strong>violate supplier diversity goals<\/strong> or create legal challenges.<\/li>\n<\/ul>\n<h3>Loss of Strategic Procurement Control<\/h3>\n<p>AI makes <strong>rapid decisions<\/strong>, but not every procurement decision <strong>should<\/strong> be made instantly. Over-relying on AI <strong>without procurement oversight<\/strong> could mean:<\/p>\n<ul>\n<li>Automated contract approvals with unfavorable terms.<\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/supplier-management\/tech-enabled-supplier-risk-assessment-unlocking-cost-and-time-savings\">Supplier risk assessments<\/a> that don\u2019t factor in real-world industry changes.<\/li>\n<li>Negotiation strategies that miss out on human intuition and <a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/supplier-relationship-management\/supplier-relationship-management-a-comprehensive-guide\">supplier relationships<\/a>.<\/li>\n<\/ul>\n<h2>Bridging the AI Trust Gap: Strategies for Procurement Teams<\/h2>\n<p>AI in procurement <strong>can be transformative\u2014but only if procurement leaders trust it enough to use it strategically.<\/strong> The key to closing the AI trust gap? <strong>More transparency, stronger governance, and better collaboration between humans and AI.<\/strong><\/p>\n<p>Here\u2019s how procurement teams can <strong>move from skepticism to confidence<\/strong> in AI-driven decision-making:<\/p>\n<h3>Step 1: Build Strong AI Governance Frameworks<\/h3>\n<p><strong>Why it matters:<\/strong> AI needs <strong>clear rules<\/strong>\u2014without them, procurement teams risk compliance issues and unchecked decision-making.<\/p>\n<ul>\n<li><strong>Set up AI oversight committees<\/strong> to monitor<a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/ai-in-procurement-the-ultimate-guide-to-the-new-os\"> AI-driven procurement<\/a> decisions.<\/li>\n<li><strong>Define human intervention points<\/strong> for high-value contracts, risk flags, and complex sourcing events.<\/li>\n<li><strong>Align AI with compliance policies<\/strong> to ensure all AI-led decisions meet legal and regulatory standards.<\/li>\n<\/ul>\n<h3>Step 2: Demand AI Transparency with Explainable AI Models<\/h3>\n<p><strong>Why it matters:<\/strong> If procurement leaders don\u2019t <strong>understand how AI makes decisions,<\/strong> they won\u2019t trust them.<\/p>\n<ul>\n<li><strong>Use explainable AI models (XAI)<\/strong> to clarify how AI reaches <a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/supplier-management\/top-10-supplier-risk-management-best-practices-for-procurement-professionals\">sourcing and risk assessment<\/a> decisions.<\/li>\n<li><strong>Ensure AI justifies its recommendations<\/strong> with clear reasoning behind pricing, supplier scores, and contract terms.<\/li>\n<li><strong>Make AI insights auditable<\/strong> so procurement teams can challenge and refine AI-driven outputs.<\/li>\n<\/ul>\n<h3>Step 3: Train Procurement Teams for AI Collaboration<\/h3>\n<p><strong>Why it matters:<\/strong> AI can\u2019t work <strong>without human expertise.<\/strong><\/p>\n<ul>\n<li><strong>35.3% of procurement leaders lack AI skills<\/strong>, making training essential for adoption.<\/li>\n<li><strong>Educate teams on AI decision-making<\/strong> to help them confidently interpret AI recommendations.<\/li>\n<li><strong>Develop AI literacy programs<\/strong> focused on <a href=\"https:\/\/dev.zycus.com\/freshz\/solution\/autonomous-negotiation-agents\">AI-powered negotiations<\/a>, spend analytics, and <a href=\"https:\/\/dev.zycus.com\/freshz\/solution\/supplier-risk-management\">supplier risk management<\/a>.<\/li>\n<li><strong>Ensure AI enhances strategic procurement<\/strong> rather than replacing human expertise.<\/li>\n<\/ul>\n<h3>Step 4: Mitigate AI Bias with Ethical Procurement Practices<\/h3>\n<p><strong>Why it matters:<\/strong> AI learns from <strong>historical data\u2014if that data is biased, AI will be too.<\/strong><\/p>\n<ul>\n<li><strong>Train AI on diverse datasets<\/strong> to prevent bias in supplier evaluations and sourcing decisions.<\/li>\n<li><strong>Use bias detection tools<\/strong> to identify and mitigate potential discrimination in AI-driven procurement.<\/li>\n<li><strong>Ensure AI aligns with supplier diversity and ESG goals<\/strong> instead of reinforcing past procurement biases.<\/li>\n<\/ul>\n<h3>Step 5: Use AI as a Strategic Advisor, Not a Sole Decision-Maker<\/h3>\n<p><strong>Why it matters:<\/strong> AI should <strong>enhance human decision-making, not replace it.<\/strong><\/p>\n<ul>\n<li><strong>AI should provide insights, not make final decisions<\/strong>, allowing procurement professionals to stay in control.<\/li>\n<li><strong>Implement human-AI collaboration models<\/strong> where AI automates data-heavy tasks, but humans handle strategy.<\/li>\n<li><strong>Allow procurement teams to override AI decisions<\/strong>, ensuring accountability and risk mitigation.<\/li>\n<\/ul>\n<h2>The Cost of Delaying AI: Why Hesitation Hurts Procurement<\/h2>\n<ul>\n<li><strong>Delayed AI Adoption = Higher Costs<\/strong><br \/>\nWithout AI, procurement teams miss hidden savings, allowing unmanaged spend to drain budgets.<\/li>\n<\/ul>\n<ul>\n<li><strong>Manual Procurement = Slower Decision-Making<\/strong><br \/>\nAI-driven sourcing reduces cycle times by 60%, while manual workflows slow procurement down.<\/li>\n<\/ul>\n<ul>\n<li><strong>Increased Supplier Risk Exposure<\/strong><br \/>\nAI proactively detects supplier risks, while manual tracking leaves organizations vulnerable to disruptions.<\/li>\n<\/ul>\n<ul>\n<li><strong>Falling Behind AI-Driven Competitors<\/strong><br \/>\nEarly adopters are optimizing costs and securing better supplier terms, leaving late adopters at a disadvantage.<\/li>\n<\/ul>\n<h2>Conclusion: Closing the AI Trust Gap in Procurement<\/h2>\n<p>The AI trust gap in procurement isn\u2019t about technology\u2014it\u2019s about confidence, control, and collaboration. While autonomous AI offers speed, insights, and efficiency, procurement leaders know that blind trust isn\u2019t the answer. The key lies in building governance frameworks, ensuring transparency, addressing bias, and empowering teams to work alongside AI, not under it.<\/p>\n<p><strong>Explore Zycus&#8217; <a href=\"https:\/\/dev.zycus.com\/freshz\/solution\/merlin-agentic-ai-platform\">Agentic AI platform<\/a><\/strong><\/p>\n<p>Organizations that take these steps can confidently transition from hesitation to innovation\u2014using AI as a trusted partner to drive smarter decisions, mitigate risks, and unlock new value. The future of procurement isn\u2019t fully autonomous\u2014it\u2019s intelligently collaborative.<\/p>\n<p>Ready to close the AI trust gap in your procurement processes? <a href=\"https:\/\/dev.zycus.com\/freshz\/request-a-demo\">Book a demo<\/a> with Zycus today and see how AI can empower your team with confidence and control.<\/p>\n<p><strong>Related Reads:<\/strong><\/p>\n<ol>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/procurement-technology\/chatgpt-and-procurement\">ChatGPT and Procurement: A Match Made in AI Heaven?<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/procurement-technology\/conversational-ai-in-procurement\">Leveraging Conversational AI in Procurement<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/generative-ai-in-spend-management\">Utilize the Power of Generative AI in Spend Management: A Comprehensive Guide<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/boost-efficiency-with-generative-ai-in-supply-chain\">Unleashing Next-Gen Efficiency in Supply Chains with Generative AI<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/generate-success-generative-ai-in-sourcing\">\u2018Generate\u2019 Success: Generative AI in Sourcing<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/blog\/artificial-intelligence\/leveraging-generative-ai-in-procurement-to-unlock-new-procurement-frontiers\">Leveraging Generative AI to Unlock New Procurement Frontiers<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/knowledge-hub\/on-demand-webinar\/how-generative-ai-can-set-procurement-leaders-up-for-success\">On-Demand Webinar: Revolutionizing Procurement- How Generative AI Can Set Procurement Leaders up for Success<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/knowledge-hub\/on-demand-webinar\/transforming-business-performance-with-digital-and-generative-ai\">On-Demand Webinar: Transforming Business Performance with Digital and Generative AI<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/knowledge-hub\/whitepapers\/revolutionizing-procurement-with-artificial-intelligence\">White Paper: Revolutionizing Procurement with Artificial Intelligence<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/knowledge-hub\/whitepapers\/artificial-intelligence-use-cases-identifying-and-realizing-the-real-value\">White Paper: Artificial Intelligence use cases- Identifying and realizing the real value<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/solution\/supplier-management\">Solution: Supplier Management Software<\/a><\/li>\n<li><a href=\"https:\/\/dev.zycus.com\/freshz\/solution\/zycus-ai-generative-platform\">Solution: Generative AI for Transforming your Source-to-Pay<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>AI is transforming procurement\u2014from automating tasks to predicting supplier risks and optimizing sourcing. Yet, despite its potential, many procurement leaders remain cautious about going fully autonomous. The Quantum Leap Survey reveals a significant AI trust gap, uncovering why organizations hesitate and what it takes to confidently bridge the divide between humans and intelligent systems. TL;DR [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":224410,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[2456],"tags":[],"ppma_author":[170],"class_list":["post-224377","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agentic-ai"],"acf":[],"authors":[{"term_id":170,"user_id":0,"is_guest":1,"slug":"zycus-inc","display_name":"Zycus","avatar_url":{"url":"https:\/\/dev.zycus.com\/freshz\/wp-content\/uploads\/2025\/02\/zycus-author.png","url2x":"https:\/\/dev.zycus.com\/freshz\/wp-content\/uploads\/2025\/02\/zycus-author.png"},"author_category":"0","last_name":"Agentic Procurement Platform","first_name":"Zycus","job_title":"","user_url":"https:\/\/dev.zycus.com\/freshz","description":"Zycus is an Agentic Procurement Platform that is redefining procurement from Source-to-Pay to Intake-to-Outcomes. Its unified platform combines native Intake, agentic AI, and an end-to-end S2P core to help enterprises drive real procurement outcomes \u2014 not just transactions. Recognized by Gartner, Forrester, IDC, and customers worldwide, Zycus is shaping the next generation of procurement with the Merlin Agentic AI Platform."}],"_links":{"self":[{"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/posts\/224377","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/comments?post=224377"}],"version-history":[{"count":0,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/posts\/224377\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/media\/224410"}],"wp:attachment":[{"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/media?parent=224377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/categories?post=224377"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/tags?post=224377"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/dev.zycus.com\/freshz\/wp-json\/wp\/v2\/ppma_author?post=224377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}