{"id":1161,"date":"2026-07-25T05:16:28","date_gmt":"2026-07-25T05:16:28","guid":{"rendered":"https:\/\/www.plura.ai\/articles\/vapi-live-transfer"},"modified":"2026-07-25T05:16:28","modified_gmt":"2026-07-25T05:16:28","slug":"vapi-live-transfer","status":"publish","type":"post","link":"https:\/\/www.plura.ai\/articles\/vapi-live-transfer","title":{"rendered":"Vapi Live Transfer: Setup, Routing, and Handoff Options"},"content":{"rendered":"<p><em>Written by: Matt Beucler, CEO, Plura AI<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for Vapi Transfers and Plura AI<\/h2>\n<ul>\n<li>Vapi supports static, dynamic, and assistant-based warm transfers, all running on third-party CPaaS infrastructure for voice delivery.<\/li>\n<li>Static transfers create blind handoffs with no context for the receiving agent, while warm transfers pass structured caller data to cut handle time.<\/li>\n<li>Dynamic transfers using <code>controlUrl<\/code> and runtime destination lookup support real-time routing based on caller intent, CRM data, or agent availability.<\/li>\n<li>Common transfer failures often come from vague tool descriptions, missing context variables, or schema mismatches between server responses and Vapi expectations.<\/li>\n<li>Plura AI uses an FCC-licensed carrier stack that preserves full conversation context across voice and SMS, and <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\">you can see this behavior in a live environment here<\/a>.<\/li>\n<\/ul>\n<h2>Configuring Static transferCall Routing<\/h2>\n<p>The static <code>transferCall<\/code> tool routes a call to a fixed destination number that you define during configuration. Use this method when the transfer target stays the same regardless of caller input or runtime data.<\/p>\n<p>Seven-step checklist for configuring a static <code>transferCall<\/code> tool:<\/p>\n<ol>\n<li>Open your Vapi assistant configuration and navigate to the Tools section, where you define all callable functions for the AI.<\/li>\n<li>Add a new tool of type <code>transferCall<\/code> so the model knows it can hand calls to another destination.<\/li>\n<li>Set the <code>destination.type<\/code> to <code>number<\/code>, which tells Vapi to route to a fixed phone number instead of another assistant.<\/li>\n<li>Enter the destination phone number in E.164 format (for example, <code>+15551234567<\/code>) so the carrier can interpret it correctly.<\/li>\n<li>Write a clear <code>description<\/code> field so the LLM knows exactly when to invoke the tool, such as \u201cTransfer the caller to the billing department when they request a refund.\u201d<\/li>\n<li>Set <code>async<\/code> to <code>false<\/code> so the transfer runs synchronously and the assistant does not continue talking while the call moves.<\/li>\n<li>Test the tool in a sandbox call and confirm the destination receives the call with the expected caller ID before you roll it into production.<\/li>\n<\/ol>\n<pre><code>{ \"type\": \"transferCall\", \"destinations\": [ { \"type\": \"number\", \"number\": \"+15551234567\", \"message\": \"Please hold while I connect you to our billing team.\" } ], \"function\": { \"name\": \"transferCall\", \"description\": \"Transfer the caller to the billing department when they request a refund or dispute a charge.\", \"parameters\": { \"type\": \"object\", \"properties\": {} } } }<\/code><\/pre>\n<p><strong>Operator note:<\/strong> Static transfers create a blind cold handoff. The destination agent receives no structured context payload from the AI leg of the call. For context-preserving handoffs, use the warm transfer method described below.<\/p>\n<h2>Dynamic Transfers with controlUrl Webhooks<\/h2>\n<p>Dynamic transfers using <code>controlUrl<\/code> let your server choose the transfer destination at runtime based on caller input, CRM data, or routing logic. Vapi sends a webhook to your <code>controlUrl<\/code> endpoint, and your server responds with the destination details.<\/p>\n<pre><code>{ \"message\": { \"type\": \"tool-calls\", \"toolCallList\": [ { \"id\": \"call_abc123\", \"type\": \"function\", \"function\": { \"name\": \"transferCall\", \"arguments\": \"{\\\"intent\\\": \\\"billing\\\", \\\"callerInput\\\": \\\"I need help with my invoice\\\"}\" } } ], \"call\": { \"id\": \"vapi-call-id-xyz\", \"phoneNumber\": \"+15559876543\" } } }<\/code><\/pre>\n<p>Your server response to route the call dynamically:<\/p>\n<pre><code>{ \"results\": [ { \"toolCallId\": \"call_abc123\", \"result\": \"Transferring you now.\", \"destination\": { \"type\": \"number\", \"number\": \"+15551112222\", \"message\": \"Connecting you to a billing specialist.\" } } ] }<\/code><\/pre>\n<p>Your <code>controlUrl<\/code> endpoint receives the caller intent extracted by the AI, queries your routing table, and returns the correct destination number. This pattern supports skill-based routing, time-of-day logic, and overflow queues without redeploying the assistant configuration.<\/p>\n<h2>Assistant-Based Warm Transfers with Context Passing<\/h2>\n<p>Assistant-based warm transfer connects the caller to a second Vapi assistant or a human agent while passing structured conversation context. <a href=\"https:\/\/twig.so\/blog\/voice-ai-agents-warm-handoff-human-escalation\" target=\"_blank\" rel=\"noindex nofollow\">A well-engineered warm handoff delivers verified caller identity, resolved intent, full conversation transcript, and a suggested next action to the receiving agent before the call connects<\/a>, so the caller avoids repeating information.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779339671131-86a4f1fcbd70.png\" alt=\"Plura Workflow Builder mockup showing AI conversation flow design with triggers, routing paths, follow-ups, transfers, and conversion logic.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Workflow Builder maps AI conversation flows with triggers, routing paths, follow-ups, transfers, and conversion logic.<\/em><\/figcaption><\/figure>\n<p>Configuration for assistant-based warm transfer with context injection:<\/p>\n<pre><code>{ \"type\": \"transferCall\", \"destinations\": [ { \"type\": \"assistant\", \"assistantId\": \"asst_receiving_agent_id\", \"message\": \"Please hold while I connect you to a specialist.\", \"description\": \"Transfer to the sales closer assistant when the caller confirms purchase intent.\", \"transferPlan\": { \"mode\": \"warm-transfer-say-message\", \"message\": \"Caller is {{caller.name}}, interested in {{product.discussed}}, sentiment is {{sentiment.score}}. They have confirmed budget and timeline.\" } } ] }<\/code><\/pre>\n<p>Prompt snippet for the receiving assistant\u2019s system instruction:<\/p>\n<pre><code>You are a senior sales specialist. The caller has already been qualified by an AI agent. Context passed: {{transferContext}} Do not re-ask for information already collected. Begin by confirming the caller's primary interest and move directly to closing the conversation.<\/code><\/pre>\n<p>Structured context passed during warm transfers should include a one-line briefing containing account ID, request type, what has been tried, and customer sentiment, rather than a raw transcript dump. <a href=\"https:\/\/agxntsix.ai\/guides\/warm-transfer-protocol-voice-agent-human-handoff\" target=\"_blank\" rel=\"noindex nofollow\">When the warm transfer payload is built correctly, first-call resolution rates can improve<\/a><sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup>.<\/p>\n<p><strong>Book a live demo with Plura AI<\/strong> to see how Plura handles warm transfers natively on its own FCC-licensed carrier stack, with full stateful context preserved across every channel. <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\">Start here.<\/a><\/p>\n<h2>Runtime Destination Lookup for Live Availability<\/h2>\n<p>Runtime destination lookup runs a data fetch inside the transfer workflow to resolve the correct agent, queue, or number at the moment of transfer instead of during configuration. Use this pattern when destination numbers change frequently, vary by geography, or depend on live availability data.<\/p>\n<pre><code>{ \"type\": \"function\", \"function\": { \"name\": \"lookupTransferDestination\", \"description\": \"Query the routing API to find the available agent number based on caller intent and time zone.\", \"parameters\": { \"type\": \"object\", \"properties\": { \"intent\": { \"type\": \"string\", \"description\": \"The caller's primary intent, e.g. 'billing', 'support', 'sales'.\" }, \"callerTimezone\": { \"type\": \"string\", \"description\": \"The caller's detected time zone in IANA format, e.g. 'America\/New_York'.\" }, \"required\": [\"intent\", \"callerTimezone\"] } }, \"server\": { \"url\": \"https:\/\/your-server.com\/api\/lookup-destination\", \"timeoutSeconds\": 5 } }<\/code><\/pre>\n<p>Your server receives the <code>intent<\/code> and <code>callerTimezone<\/code> fields, queries your agent availability system, and returns a destination number. Chain this function call before the <code>transferCall<\/code> tool so the assistant always transfers to a live agent instead of an unmanned line. <a href=\"https:\/\/webrtc.ventures\/2026\/05\/context-engineering-best-practices-for-voice-ai-agents\" target=\"_blank\" rel=\"noindex nofollow\">Storing relevant interaction data in a separate JSON state object and injecting it into the system instruction on every LLM request keeps context current and latency predictable throughout the lookup-and-transfer sequence<\/a>.<\/p>\n<h2>Common Vapi Transfer Failures and Fixes<\/h2>\n<p>The table below maps the forum pain language operators report most often to the underlying cause and the specific fix.<\/p>\n<table>\n<thead>\n<tr>\n<th>Symptom<\/th>\n<th>Root Cause<\/th>\n<th>Fix<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Vapi live transfer not working<\/td>\n<td>The <code>transferCall<\/code> tool is defined but the LLM never invokes it because the <code>description<\/code> field is too vague or missing trigger conditions.<\/td>\n<td>Rewrite the <code>description<\/code> with explicit conditions, such as \u201cInvoke this tool when the caller says they want to speak to a human or when qualification score exceeds 7.\u201d<\/td>\n<\/tr>\n<tr>\n<td>Warm transfer context lost<\/td>\n<td>The <code>transferPlan.message<\/code> field uses static text instead of template variables, so no runtime data is injected.<\/td>\n<td>Replace static strings with <code>{{variable}}<\/code> placeholders mapped to your call state object. Confirm the variables resolve before the transfer fires.<\/td>\n<\/tr>\n<tr>\n<td>Transfer fires immediately without collecting caller info<\/td>\n<td>The tool\u2019s <code>parameters<\/code> block is empty, so the LLM has no required fields to collect before invoking the transfer.<\/td>\n<td>Add required parameters such as <code>callerName<\/code> and <code>issueCategory<\/code> so the assistant must gather data before the tool can execute.<\/td>\n<\/tr>\n<tr>\n<td>Dynamic transfer returns wrong destination<\/td>\n<td>The <code>controlUrl<\/code> server response does not match Vapi\u2019s expected schema, which can cause a fallback or silent failure.<\/td>\n<td>Validate your server response against Vapi\u2019s tool-call result schema. Confirm <code>toolCallId<\/code> in the response matches the inbound request ID exactly.<\/td>\n<\/tr>\n<tr>\n<td>Caller hears dead air during transfer<\/td>\n<td>No <code>message<\/code> field is set on the destination object, so the caller hears silence while the transfer connects.<\/td>\n<td>Set a <code>message<\/code> on every destination object, such as \u201cPlease hold while I connect you.\u201d Keep hold audio active to reduce abandonment during longer transfers.<\/td>\n<\/tr>\n<tr>\n<td>Branded caller ID not passing through on transfer<\/td>\n<td>Vapi routes voice through a third-party CPaaS that cannot issue branded caller ID at the carrier level. The destination sees the CPaaS number, not your business name.<\/td>\n<td>This behavior reflects an architectural limit of Vapi\u2019s third-party CPaaS layer. Branded caller ID requires a carrier-native platform. See the migration section below.<\/td>\n<\/tr>\n<tr>\n<td>DNC-listed numbers reaching transfer queue<\/td>\n<td>Vapi has no native real-time DNC scrubbing at the carrier level. Suppression must be implemented upstream in your dialing list or through a third-party integration.<\/td>\n<td>Implement pre-dial DNC scrubbing in your own infrastructure before numbers enter the Vapi call queue. Consult qualified counsel regarding your specific compliance obligations under applicable federal and state rules.<sup data-disclaimer-id=\"23\" data-disclaimer-index=\"2\">2<\/sup><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>When to Migrate to a Carrier-Native Platform<\/h2>\n<p>Vapi is a developer-first platform built on top of third-party CPaaS infrastructure.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup> That architecture works for prototyping and low-volume deployments. At production scale, three structural limits appear consistently: the CPaaS layer cannot issue branded caller ID directly, real-time DNC scrubbing is not enforced at origination, and conversation context does not persist across channels after the call ends.<\/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><a href=\"https:\/\/www.plura.ai\/compare\/plura-ai-vs-synthflow\" target=\"_blank\">Plura owns its telecom infrastructure and holds an FCC carrier license<\/a>, whereas platforms built on Twilio or similar CPaaS providers operate as a software layer without a carrier license. That distinction has direct operational consequences:<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338680098-bf2bbd201647.png\" alt=\"Plura Unified Inbox interface showing centralized AI Voice, SMS, RCS, and Webchat conversations in one omnichannel workspace.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Unified Inbox centralizes AI Voice, SMS, RCS, and Webchat conversations into one streamlined omnichannel communication workspace.<\/em><\/figcaption><\/figure>\n<ul>\n<li><strong>Branded caller ID:<\/strong> <a href=\"https:\/\/www.plura.ai\/compare\/plura-ai-vs-synthflow\" target=\"_blank\">Plura issues carrier-provisioned branded caller ID<\/a>, so calls present with your business name instead of an unfamiliar number or \u201cSpam Likely\u201d label. CPaaS-dependent platforms inherit the CPaaS provider\u2019s caller ID reputation, not yours.<\/li>\n<li><strong>Real-time DNC scrubbing:<\/strong> <a href=\"https:\/\/www.plura.ai\/compare\/plura-ai-vs-vapi\" target=\"_blank\">Plura provides integration with The Blacklist Alliance\u2019s TCPA Litigation Firewall for real-time DNC scrubbing and litigation protection<\/a><sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup>, enforced at the carrier level before a call originates. Operators running high-volume outbound should consult qualified counsel regarding their specific obligations under TCPA (47 U.S.C. \u00a7 227) and applicable state rules.<\/li>\n<li><strong>Stateful cross-channel context:<\/strong> <a href=\"https:\/\/www.plura.ai\/compare\/plura-ai-vs-vapi\" target=\"_blank\">Plura offers omnichannel support for voice, SMS, webchat, and RCS within a unified stateful inbox that maintains full conversation history<\/a>. An AI agent that texted a lead at 9 a.m. can pick up the voice call at noon already knowing what was said. Vapi\u2019s architecture does not preserve that context across channels by default.<\/li>\n<li><strong>AI SMS live transfer:<\/strong> Plura\u2019s <a href=\"https:\/\/plura.ai\/ai-sms-leads\" target=\"_blank\" rel=\"noindex nofollow\">live transfer<\/a> capability extends beyond voice. The AI SMS layer qualifies leads over text, then calls and live-transfers a warm buyer directly to a human rep, with the full SMS conversation context available to the receiving agent.<\/li>\n<\/ul>\n<p>Sinch research highlights the importance of high-performance communications infrastructure for successful AI deployment, making infrastructure quality a stronger predictor of production success than investment levels alone.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup> High-volume operators running thousands of transfers per month often cannot absorb the pickup-rate, compliance, and context-loss penalties that come with a CPaaS-dependent architecture.<\/p>\n<p>Plura supports compliance with <a href=\"https:\/\/plura.ai\/products\/compliance\" target=\"_blank\" rel=\"noindex nofollow\">SOC 2, HIPAA, ISO certification, GDPR, STIR\/SHAKEN caller ID verification, TCPA compliance, and DNC compliance<\/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 legal interpretation of applicable rules.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779339090994-980045ddacd2.png\" alt=\"Plura Security &amp; Compliance dashboard highlighting SOC 2, ISO, and GDPR standards with secure trust verification management.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Security &amp; Compliance supports SOC 2, ISO, and GDPR standards with trust registration, verification management, and secure AI communications.<\/em><\/figcaption><\/figure>\n<p><strong>See carrier-native live transfers in action<\/strong> by walking through how the FCC-licensed carrier stack handles live transfers at production volume with the Plura team. <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\">Connect with the team here.<\/a><\/p>\n<p>Run your numbers through <a href=\"https:\/\/plura.ai\/calculator\" target=\"_blank\">Plura\u2019s ROI calculator to check your ROI in real time<\/a>. The default scenario models a 15-agent operation at $20 per hour against Plura\u2019s carrier-native stack, with 30-day, 12-month, and 60-month savings displayed side by side.<sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is the difference between a cold transfer and a warm transfer in Vapi?<\/h3>\n<p>A cold transfer, also called a blind transfer, connects the caller to a destination number without any prior briefing of the receiving agent. The caller must re-explain their situation from the start. A warm transfer first connects the AI to the receiving agent, delivers a structured context payload containing caller identity, detected intent, conversation summary, and recommended next action, and then bridges the caller in. Warm transfers preserve the value of the AI\u2019s prior work and reduce average handle time because the receiving agent does not spend the first two minutes gathering information the AI already collected. In Vapi, warm transfer behavior is configured through the <code>transferPlan<\/code> object on the destination, with the <code>mode<\/code> field controlling whether the AI delivers a spoken briefing, a message, or a silent handoff.<\/p>\n<h3>Why does Vapi live transfer not work even when the tool is configured correctly?<\/h3>\n<p>The most common cause is an underspecified <code>description<\/code> field on the <code>transferCall<\/code> tool. The LLM decides when to invoke the tool based on that description. If the description is vague, the model either never triggers the transfer or triggers it at the wrong moment. The fix is to write explicit, condition-based descriptions that name the exact caller statements or qualification thresholds that should fire the transfer. A secondary cause is a mismatch between the <code>toolCallId<\/code> in your server response and the ID sent in the inbound webhook, which causes Vapi to treat the response as invalid and fall back silently. Validate both fields in your server logs before assuming the assistant configuration is the problem.<\/p>\n<h3>How does Plura handle live transfers differently from Vapi?<\/h3>\n<p>Plura owns its FCC-licensed carrier infrastructure rather than routing voice through a third-party CPaaS. That structure means branded caller ID is issued at the carrier level, real-time DNC scrubbing runs before each call originates, and STIR\/SHAKEN authentication is applied to every outbound dial. On the context side, Plura\u2019s Stateful Conversation Database persists every interaction across voice, SMS, RCS, and webchat under a single customer token. When a live transfer fires, the receiving human agent sees the full conversation history from every prior channel, not just the current call leg. Plura\u2019s AI SMS capability also extends live transfer beyond voice, as the AI qualifies a lead over text, then calls and transfers a warm buyer directly to a rep with the SMS context already loaded. Operators interested in comparing the two platforms in detail can review the <a href=\"https:\/\/plura.ai\/compare\/plura-ai-vs-vapi\" target=\"_blank\" rel=\"noindex nofollow\">full Plura vs. Vapi breakdown<\/a>.<\/p>\n<h3>What compliance considerations apply to AI voice live transfers in the United States?<\/h3>\n<p>Several federal and state frameworks apply to outbound AI voice calls and the live transfers that follow from them. The FCC\u2019s February 2024 Declaratory Ruling classified AI-generated voices as artificial or prerecorded voice calls under the TCPA (47 U.S.C. \u00a7 227), which means consent, identification, and opt-out rules that apply to traditional robocalls also apply to AI voice agents. The FCC\u2019s One-to-One Consent Rule, effective January 27, 2026, requires each business to obtain separate, explicit consent from the consumer for the specific seller making calls. State-level rules in Florida, California, Texas, Washington, and others impose additional consent-language, recording, and calling-window requirements. Operators should consult qualified counsel to evaluate their specific obligations before deploying any AI voice or live-transfer workflow.<sup data-disclaimer-id=\"23\" data-disclaimer-index=\"2\">2<\/sup> Plura supports compliance with TCPA, DNC, HIPAA, SOC 2, ISO certification, GDPR, and STIR\/SHAKEN caller ID verification at the infrastructure level, and downstream compliance obligations remain the customer\u2019s responsibility.<sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup><\/p>\n<h3>What context should be passed during a warm transfer from an AI agent to a human?<\/h3>\n<p>Industry guidance consistently identifies a structured payload as more effective than a raw transcript dump. A well-formed warm transfer payload includes verified caller identity, primary intent and sub-intent, a plain-language two-to-three sentence summary, key data fields in CRM-ready format, sentiment trajectory, what the AI already attempted, any commitments or offers made during the AI leg, and a recommended next action for the human agent. The payload should be visible to the receiving agent before they accept the call, not after the caller is already connected. Whisper messages, which are short private audio briefings played only to the agent while the caller hears hold audio, are a complementary delivery surface for the most critical fields. Plura\u2019s Stateful Conversation Database makes this context available across every channel automatically, so the receiving agent sees voice, SMS, and webchat history in a single unified inbox view.<\/p>\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","protected":false},"excerpt":{"rendered":"<p>Learn how Vapi live transfer works across static, dynamic, and warm handoffs. See how Plura AI preserves full context across voice and SMS.<\/p>\n","protected":false},"author":106,"featured_media":1160,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1161","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-voice-agents"],"_links":{"self":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/1161","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=1161"}],"version-history":[{"count":0,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/1161\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media\/1160"}],"wp:attachment":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media?parent=1161"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/categories?post=1161"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/tags?post=1161"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}