{"id":2637,"date":"2026-09-04T05:02:25","date_gmt":"2026-09-04T05:02:25","guid":{"rendered":"https:\/\/www.plura.ai\/articles\/how-contact-center-ai-works"},"modified":"2026-09-04T05:02:25","modified_gmt":"2026-09-04T05:02:25","slug":"how-contact-center-ai-works","status":"publish","type":"post","link":"https:\/\/www.plura.ai\/articles\/how-contact-center-ai-works","title":{"rendered":"How Contact Center AI Works: A Complete Ops Guide"},"content":{"rendered":"<p><em>Written by: Matt Beucler, CEO, Plura AI<\/em><\/p>\n<p><em>Updated September 3, 2026<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Contact center AI combines ASR, NLU, ML, and LLMs to automate and augment customer interactions across voice, SMS, and webchat.<\/li>\n<li>The technology handles routine interactions autonomously while escalating complex issues to human agents with full context.<\/li>\n<li>Integration depth with CRM and tech stacks, plus platform-level compliance, are critical factors for successful adoption.<\/li>\n<li>AI augments agents and reduces burnout by absorbing repetitive volume and providing real-time guidance.<\/li>\n<li>Plura AI offers carrier-level compliance support, a broad integration catalog, and transparent pricing. <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\"><strong>Book a live demo<\/strong><\/a> to see the full system in action.<\/li>\n<\/ul>\n<h2>The Four Technologies Powering Contact Center AI<\/h2>\n<p>Contact center AI architecture is a stack of four complementary technologies working together. Each layer plays a specific role that operations leaders can evaluate directly.<\/p>\n<p><strong>Automatic Speech Recognition (ASR)<\/strong> converts spoken audio into structured text in real time. When a customer says, &#8220;I need help with my bill,&#8221; ASR captures those words and transcribes them instantly, creating a searchable record of the conversation.<\/p>\n<p><strong>Natural Language Understanding (NLU)<\/strong> interprets what the customer actually means. NLU goes beyond word matching. It identifies the customer&#8217;s intent (&#8220;billing inquiry&#8221;) and sentiment (&#8220;frustrated&#8221;), even when the phrasing is indirect. This capability lets AI handle open-ended speech instead of forcing customers through rigid menu trees.<\/p>\n<p><strong>Machine Learning (ML)<\/strong> gives the system the ability to improve over time. ML models are trained once on large datasets at significant cost. They then run repeatedly at low cost during inference, analyzing new interactions and refining accuracy with every call.<\/p>\n<p><strong>Large Language Models (LLMs)<\/strong> generate the AI&#8217;s responses. LLMs are trained to complete tasks from text input, which makes them useful as components in broader workflows. A well-designed contact center AI platform pairs LLMs with the other three layers and with guardrails that keep conversations on-script and reduce confabulation.<\/p>\n<p>Contact center AI functions as a virtual assistant that listens (ASR), understands (NLU), learns (ML), and responds (LLMs). Each layer handles one part of the job, and the platform orchestrates them into a single conversation.<\/p>\n<h2>The Customer Journey: How AI Handles a Call Step-by-Step<\/h2>\n<p>This section walks through a realistic example. A customer calls a telecom company about an unexpected charge on their bill.<\/p>\n<p><strong>Step 1 &#8211; Call Intake.<\/strong> The customer dials in and the AI answers on the first ring. ASR begins transcribing their speech immediately. There is no &#8220;press 1 for billing&#8221; menu. The customer simply says, &#8220;I see a charge on my bill that I don&#8217;t recognize.&#8221;<\/p>\n<p><strong>Step 2 &#8211; Intent Detection and Routing.<\/strong> NLU identifies the intent as a billing dispute and checks the customer&#8217;s account history through the customer relationship management (CRM) integration. The AI determines whether it can resolve the issue autonomously or whether the conversation needs a human agent.<\/p>\n<p><strong>Step 3 &#8211; AI Agent Conversation.<\/strong> The AI agent responds conversationally: &#8220;I can help with that. I see a $24.99 charge from last Tuesday for premium streaming. Is that the charge you&#8217;re asking about?&#8221; The customer confirms. The AI explains the charge. If the customer did not authorize it, the AI offers to remove it and processes the adjustment.<\/p>\n<p><strong>Step 4 &#8211; Agent Assist (if escalation is needed).<\/strong> If the customer&#8217;s issue falls outside the AI&#8217;s workflow, the AI warm-transfers to a human agent. The human agent sees a real-time transcript, the customer&#8217;s account history, and the AI&#8217;s recommended next-best action. The customer does not repeat themselves.<\/p>\n<p><strong>Step 5 &#8211; Post-Call Analytics.<\/strong> After the call, the AI automatically summarizes the interaction, logs the resolution to the CRM, and tags the conversation for quality assurance. Conversation intelligence tools analyze 100% of interactions, not a manual sample, to surface trends like recurring billing complaints.<\/p>\n<blockquote>\n<p><strong>Customer:<\/strong> &#8220;I see a charge on my bill that I don&#8217;t recognize.&#8221;<br \/> <strong>AI Agent:<\/strong> &#8220;I can help with that. I see a $24.99 charge from last Tuesday for premium streaming. Is that the charge you&#8217;re asking about?&#8221;<br \/> <strong>Customer:<\/strong> &#8220;Yes, I never signed up for that.&#8221;<br \/> <strong>AI Agent:<\/strong> &#8220;I&#8217;ve removed that charge and applied a credit to your account. You&#8217;ll see the adjustment on your next statement. Is there anything else I can help with?&#8221;<\/p>\n<h2>Three Core Capabilities: AI Agents, Agent Assist, Conversation Intelligence<\/h2>\n<p>Operations leaders evaluating AI call center technology encounter three distinct capabilities that often get grouped together. Each one solves a different operational problem.<\/p>\n<p><strong>AI agents<\/strong> handle conversations autonomously, from greeting to resolution, without a human in the loop. They fit routine, high-volume interactions like appointment scheduling, order status checks, and billing inquiries. <a href=\"https:\/\/plura.ai\/ai-voice-demo\" target=\"_blank\" rel=\"noindex nofollow\">Plura AI&#8217;s AI voice agents<\/a> provide full lead enrichment before every interaction, enabling autonomous handling of complete sales conversations, lead qualification, and appointment booking using real-time data enrichment from 30+ sources.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338970100-7644e3233eb9.png\" alt=\"Plura Webchat interface showing AI-powered customer messaging, automated responses, and real-time conversational engagement.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Webchat delivers AI-powered customer conversations with real-time engagement, automated responses, and seamless appointment scheduling.<\/em><\/figcaption><\/figure>\n<p><strong>Agent assist<\/strong> provides real-time guidance to human agents during live conversations. The AI listens to the call, pulls up relevant knowledge-base articles, and suggests next-best actions. The human agent remains in control of the conversation. <a href=\"https:\/\/plura.ai\/compare\/plura-ai-vs-five9\" target=\"_blank\" rel=\"noindex nofollow\">Agent assist handles basic self-service interactions and provides real-time guidance but does not eliminate the need for human agents on routine interactions<\/a>.<\/p>\n<p><strong><a href=\"https:\/\/plura.ai\/business-intelligence\" target=\"_blank\" rel=\"noindex nofollow\">Conversation intelligence<\/a><\/strong> analyzes interactions after they happen. It transcribes calls, tags categories, flags potential compliance issues, and surfaces patterns: what scripts close, what objections recur, what conversion paths win.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338480670-5b2fbc1c92ba.png\" alt=\"Plura Conversation Intelligence dashboard displaying AI-powered call analytics, transfer tracking, and customer conversation insights.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Conversation Intelligence gives businesses AI-powered analytics, call transfer tracking, and customer interaction insights across every conversation.<\/em><\/figcaption><\/figure>\n<table>\n<thead>\n<tr>\n<th>Capability<\/th>\n<th>AI Agents<\/th>\n<th>Agent Assist<\/th>\n<th>Conversation Intelligence<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Primary function<\/strong><\/td>\n<td>Handles conversations autonomously<\/td>\n<td>Guides human agents in real time<\/td>\n<td>Analyzes interactions for insights<\/td>\n<\/tr>\n<tr>\n<td><strong>Human involvement<\/strong><\/td>\n<td>None, AI resolves or escalates<\/td>\n<td>Human leads, AI suggests<\/td>\n<td>Post-call, no live involvement<\/td>\n<\/tr>\n<tr>\n<td><strong>Best for<\/strong><\/td>\n<td>Routine, high-volume interactions<\/td>\n<td>Complex or sensitive conversations<\/td>\n<td>Quality assurance and trend analysis<\/td>\n<\/tr>\n<tr>\n<td><strong>Example use case<\/strong><\/td>\n<td>Billing inquiry resolution<\/td>\n<td>Compliance-sensitive healthcare calls<\/td>\n<td>Identifying recurring product complaints<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/plura.ai\/plura-webchat\" target=\"_blank\" rel=\"noindex nofollow\"><strong>See AI agents, agent assist, and conversation intelligence in a live demo<\/strong><\/a> to understand how they work together in a single platform.<\/p>\n<h2>How Contact Center AI Connects to Your CRM and Tools<\/h2>\n<p>Contact center AI delivers value when it connects cleanly to the systems your team already runs. The AI needs access to customer history to personalize conversations, and it needs to write back to your CRM so records stay current.<\/p>\n<p>A well-integrated platform connects to your CRM (HubSpot, Salesforce, Zoho), calendars (Calendly, Google Calendar), ticketing systems, and communication tools. When a customer calls, the AI pulls their full record, including past purchases, open tickets, and prior conversations, before the first sentence. When the call ends, the AI automatically logs the outcome, updates the ticket, and triggers any follow-up actions.<\/p>\n<p>Plura offers <a href=\"https:\/\/plura.ai\/integrations\" target=\"_blank\" rel=\"noindex nofollow\">50+ integrations across 10+ categories<\/a>, including CRMs, calendars, document signers (DocuSign, PandaDoc), payment processors (Stripe), and data enrichment providers. Integration depth determines whether the AI feels like a native part of your operation or a bolted-on afterthought.<\/p>\n<h2>Compliance and Security in AI Contact Centers<\/h2>\n<p>For U.S. operators, compliance is a material operational concern, and contact center AI platforms handle regulatory requirements differently depending on their architecture. Platform-level enforcement creates a different risk profile than add-on tools.<\/p>\n<p>A contact center AI platform built for compliance typically addresses the following areas:<\/p>\n<ul>\n<li><strong>Telephone Consumer Protection Act (TCPA) and Do Not Call (DNC) compliance:<\/strong> Every outbound contact is checked against federal and state DNC registries in real time before dial. Non-compliant numbers are blocked before the first attempt. TCPA litigation continues to evolve. <a href=\"https:\/\/hklaw.com\/en\/insights\/publications\/2026\/07\/federal-appeals-court-holds-texts-are-not-telephone-calls\" target=\"_blank\" rel=\"noindex nofollow\">The Seventh Circuit ruled in July 2026 that the TCPA&#8217;s Do Not Call private right of action under Section 227(c)(5) does not cover text messages<\/a><sup data-disclaimer-id=\"23\" data-disclaimer-index=\"2\">2<\/sup>, while voice call obligations remain unchanged. Consult qualified counsel for your specific obligations.<\/li>\n<li><strong>Consent logging:<\/strong> TCPA consent records are timestamped, immutable, and audit-ready, with express written consent tracked per contact.<\/li>\n<li><strong>Quiet-hours enforcement:<\/strong> Calling windows are enforced automatically through time-zone detection, applying state and federal restrictions to every campaign.<\/li>\n<li><strong>Data security:<\/strong> Health Insurance Portability and Accountability Act (HIPAA)-aligned encryption, access controls, and audit logging protect sensitive information across voice, SMS, and webchat. SOC 2 Type II certification covers the underlying infrastructure.<\/li>\n<\/ul>\n<p>Plura AI is an FCC-licensed carrier running on 100% U.S. infrastructure. Voice origination, model hosting, data storage, and call recording all sit on domestic infrastructure. Plura supports <a href=\"https:\/\/plura.ai\/products\/compliance\" target=\"_blank\" rel=\"noindex nofollow\">compliance with TCPA, DNC, HIPAA, SOC 2, and 50+ state rule sets enforced on every outbound contact<\/a><sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup>. Customers are responsible for their own regulatory obligations and should consult qualified counsel for their specific compliance posture.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779337911454-8c3a9645d906.png\" alt=\"Screenshot of Plura\u2019s fully compliant AI communications platform showing business registration and phone number provisioning workflows for AI Voice, SMS, RCS, and Webchat communication automation.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura\u2019s FCC-licensed AI communications platform simplifies compliant business registration and phone number provisioning for AI Voice, SMS, RCS, and Webchat workflows.<\/em><\/figcaption><\/figure>\n<p><em>This section describes platform features neutrally. It does not constitute legal advice.<\/em><\/p>\n<h2>The Human-AI Balance in Modern Contact Centers<\/h2>\n<p>AI is reshaping agent work by absorbing routine volume while keeping humans focused on higher-value conversations. Current industry evidence points to a blended model rather than full automation.<\/p>\n<p><a href=\"https:\/\/www.gartner.com\/en\/documents\/5164231\" target=\"_blank\">Gartner&#8217;s customer service benchmarks show the median cost per contact is $1.84 for self-service channels versus $13.50 for assisted channels<\/a><sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup>. AI&#8217;s economic case is strongest for routine interactions that do not require human judgment. For complex, sensitive, or high-emotion conversations, human agents remain essential.<\/p>\n<p>The more accurate framing is augmentation. <a href=\"https:\/\/wsj.com\/cio-journal\/cisco-gave-all-90-000-employees-their-own-ai-agent-1a4ad8bc\" target=\"_blank\" rel=\"noindex nofollow\">Cisco rolled out AI agents to all 90,000 of its global employees in August 2026<\/a>, and Thimaya Subaiya, Cisco&#8217;s Executive Vice President of Operations, stated: &#8220;I truly believe that you cannot replace humans entirely with AI. What you can do is very successfully augment people with AI.&#8221;<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup><\/p>\n<p>AI handles the repetitive tasks that drive agent burnout, while humans handle the conversations that require empathy, creativity, and judgment. When humans do take calls, they arrive with full context and AI-suggested next steps, which improves both efficiency and customer satisfaction.<\/p>\n<h2>What to Evaluate When Adopting Contact Center AI<\/h2>\n<p>Four criteria separate AI call center platforms that deliver from those that disappoint. Each one maps directly to operational risk or value.<\/p>\n<ul>\n<li><strong>Integration depth.<\/strong> Assess how deeply the platform connects to your CRM, ticketing, and communication tools. Confirm that the AI can read customer history before a call and write outcomes back automatically.<\/li>\n<li><strong>Compliance posture.<\/strong> Review whether compliance is supported at the platform level, with real-time DNC scrubbing, consent logging, and quiet-hours enforcement. Confirm which certifications the platform holds.<\/li>\n<li><strong>Scalability.<\/strong> Check whether the platform can handle your peak-season volume without degradation. Review the uptime service-level agreement (SLA) and how quickly new workflows can be deployed.<\/li>\n<li><strong>Cost transparency.<\/strong> Understand how <a href=\"https:\/\/plura.ai\/pricing\" target=\"_blank\">pricing<\/a> is structured. Identify any build fees and clarify what happens if the deployment does not deliver.<\/li>\n<\/ul>\n<p>Plura addresses each of these criteria. Its integration catalog covers the CRM and ticketing systems most operations already run. Compliance is supported at the carrier level, with SOC 2 Type II and HIPAA-aligned controls plus real-time TCPA and DNC scrubbing. A 99.9% uptime SLA supports peak-season volume, and transparent pricing includes a 90-day opt-out window on annual contracts. Run your numbers through Plura&#8217;s <a href=\"https:\/\/plura.ai\/calculator\" target=\"_blank\">ROI calculator<\/a> to check your cost savings in real time.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the 80\/20 rule in call centers?<\/h3>\n<p>The 80\/20 rule, also known as the Pareto principle, holds that roughly 80% of call center volume comes from 20% of the issues or customer types. In practice, a small number of recurring intents, such as billing questions, order status inquiries, and password resets, generate the majority of call volume. Contact center AI is effective because AI agents can be trained to handle the high-frequency, routine interactions that generate most of the calls, freeing human agents for the complex issues that require judgment and empathy. This is the operational logic behind deploying AI agents for routine work while keeping humans on escalations.<\/p>\n<h3>What is a contact center AI platform?<\/h3>\n<p>A contact center AI platform bundles the four technologies described above into one system. Most platforms include AI agents, agent assist, and conversation intelligence, then connect those capabilities to your CRM and ticketing tools. The meaningful differences lie in integration depth and how compliance is handled at the network or platform level, as covered in the sections on integration and compliance.<\/p>\n<h3>How does an AI call center work?<\/h3>\n<p>An AI call center uses ASR to transcribe customer speech, NLU to interpret intent and sentiment, and LLMs to generate responses. The AI handles routine interactions end-to-end, escalates complex issues to human agents with full context, and logs every conversation to the CRM for post-call analytics. When compliance features such as real-time DNC scrubbing and consent logging operate at the platform level, every outbound contact passes through the same controls.<\/p>\n<h3>Will AI replace call center agents?<\/h3>\n<p>Current industry evidence points to augmentation. AI handles routine, repetitive interactions, which reduces agent burnout and turnover, while human agents focus on complex, sensitive conversations that require empathy and judgment. Gartner&#8217;s benchmarks show self-service channels cost significantly less per contact than assisted channels, which strengthens the economic case for AI on routine interactions. The operational goal is AI absorbing the volume and humans handling the complexity. <a href=\"https:\/\/www.plura.ai\/guides\/ai-contact-centers-complete-guide\" target=\"_blank\">AI contact centers report 0% turnover compared to 30-45% annually for traditional operations<\/a><sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup>, which means the human agents who remain are handling higher-value work with better tools and less burnout.<\/p>\n<h2>The Bottom Line on Contact Center AI<\/h2>\n<p>Contact center AI works by layering ASR, NLU, ML, and LLMs into a single system that can listen, understand, respond, and learn. It handles routine interactions autonomously, assists human agents in real time, and analyzes every conversation for continuous improvement. The technology absorbs the repetitive volume that drives burnout while giving your team the context and tools to excel on the conversations that matter.<\/p>\n<p>For high-volume U.S. operators, the platform decision comes down to integration depth, compliance posture, scalability, and cost transparency. Plura&#8217;s carrier-level infrastructure, deep integration catalog, platform-level compliance support, and transparent <a href=\"https:\/\/plura.ai\/pricing\" target=\"_blank\">pricing<\/a> with a 90-day opt-out window align directly with those criteria.<\/p>\n<p><a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\"><strong>Schedule a live demo with Plura<\/strong><\/a> to see contact center AI in practice and decide whether it fits your operation.<\/p>\n<\/blockquote>\n<hr data-disclaimer-divider=\"true\">\n<div data-disclaimer-footer=\"true\">\n<p data-disclaimer-id=\"22\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"1\">1<\/sup> Plura AI maintains SOC 2, HIPAA, ISO, and GDPR posture as part of its platform infrastructure. References to compliance frameworks in this article describe Plura\u2019s platform capabilities and do not constitute a guarantee that any customer using Plura will themselves be compliant with applicable laws or standards. Customers remain solely responsible for their own regulatory obligations, certifications, consent management, recordkeeping, and the claims they make to their own end users. Consult qualified legal counsel for guidance specific to your use case.<\/p>\n<p data-disclaimer-id=\"23\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"2\">2<\/sup> This article describes regulatory frameworks at a general level and does not constitute legal advice. Laws and regulations vary by jurisdiction, change over time, and apply differently depending on facts and circumstances. Readers should consult qualified legal counsel before making compliance decisions.<\/p>\n<p data-disclaimer-id=\"24\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"3\">3<\/sup> Performance figures, customer outcomes, and industry statistics referenced in this article are drawn from cited third-party sources or Plura customer case studies. Individual results vary based on implementation, use case, industry, audience, and execution. Past or aggregate performance is not a guarantee of future results.<\/p>\n<p data-disclaimer-id=\"25\" data-disclaimer-type=\"content_based\"><sup data-disclaimer-index=\"4\">4<\/sup> References to third-party products, services, companies, or research are made for informational and comparative purposes only. Plura AI is not affiliated with, endorsed by, or sponsored by any third party named in this article unless explicitly stated. Trademarks and product names referenced remain the property of their respective owners.<\/p>\n<p data-disclaimer-id=\"21\" data-disclaimer-type=\"fixed\">This article is provided for informational purposes only and reflects Plura AI\u2019s understanding at the time of publication. Product capabilities, integrations, and specifications are subject to change. For the most current information, visit plura.ai.<\/p>\n<p data-disclaimer-id=\"27\" data-disclaimer-type=\"fixed\">This article was produced with the assistance of AI tools and reviewed by Plura AI prior to publication.<\/p>\n<\/div>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/what-is-contact-center-ai\" target=\"_blank\">What Is Contact Center AI? The 2026 Guide for Ops Leaders<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/contact-center-ai-omnichannel-support\" target=\"_blank\">Contact Center AI Omnichannel Support Guide 2026<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/contact-center-ai-benefits\" target=\"_blank\">8 Contact Center AI Benefits for High-Volume Contact Centers<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/advanced-call-center-ai-strategies\" target=\"_blank\">Advanced Call Center AI: 5-Phase Implementation Roadmap<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/contact-center-ai-vs-traditional\" target=\"_blank\">Contact Center AI vs Traditional Contact Center: 2026 Guide<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn how contact center AI works across voice, SMS, and chat. Plura AI gives operations leaders the intelligence to run smarter contact centers.<\/p>\n","protected":false},"author":106,"featured_media":2636,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-2637","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-contact-centers"],"_links":{"self":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/2637","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/comments?post=2637"}],"version-history":[{"count":0,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/2637\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media\/2636"}],"wp:attachment":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media?parent=2637"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/categories?post=2637"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/tags?post=2637"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}