{"id":3616,"date":"2026-09-11T05:29:14","date_gmt":"2026-09-11T05:29:14","guid":{"rendered":"https:\/\/www.plura.ai\/articles\/retell-ai-voicemail-detection"},"modified":"2026-09-11T05:30:05","modified_gmt":"2026-09-11T05:30:05","slug":"retell-ai-voicemail-detection","status":"publish","type":"post","link":"https:\/\/www.plura.ai\/articles\/retell-ai-voicemail-detection","title":{"rendered":"How Retell AI Handles Voicemail Detection on Outbound Calls"},"content":{"rendered":"<p><em>Written by: Matt Beucler, CEO, Plura AI<\/em><\/p>\n<p><em>Updated September 2026<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Retell AI uses transcript-based answering machine detection (AMD) during the first seconds of outbound calls, landing in the 95\u201398% accuracy range with sub-three-second latency.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup><\/li>\n<li>Voicemail behavior depends on three fields: <code>voicemail_option<\/code> (enables detection and post-detection actions), <code>voicemail_message<\/code> (static or dynamic message), and <code>voicemail_detection_timeout_ms<\/code> (default 30 seconds, range 5\u2013180 seconds).<\/li>\n<li>Retell AI returns distinct disconnection reasons, <code>voicemail_reached<\/code> and <code>ivr_reached<\/code>, so webhook logic can branch cleanly between voicemail and IVR outcomes.<\/li>\n<li>Common failure modes include agents speaking before detection completes. A 1.5-second <code>begin_message_delay_ms<\/code> pause and tuned responsiveness settings improve reliability.<\/li>\n<li>High-volume campaigns that need carrier-grade STIR\/SHAKEN authentication and branded caller ID to reduce carrier-level voicemail routing can <a href=\"https:\/\/www.plura.ai\/plura-webchat\" target=\"_blank\">talk to Plura AI<\/a> about production-ready outbound infrastructure.<\/li>\n<\/ul>\n<h2>How Retell AI Voicemail Detection Actually Works<\/h2>\n<p>The takeaways above describe what Retell AI voicemail detection delivers on outbound calls. The mechanism behind those results matters, because every configuration choice later in this guide depends on how the detection window behaves.<\/p>\n<p>Retell AI voicemail detection runs continuously from the moment an outbound call connects. Retell AI&#8217;s published blog states that its current AMD reads the call transcript directly, moving beyond the acoustic heuristics (initial silence length, greeting duration, audio energy envelope) that earlier systems relied on.<sup data-disclaimer-id=\"24\" data-disclaimer-index=\"3\">3<\/sup> Voicemail greetings identify themselves linguistically with phrases such as \u201cyou&#8217;ve reached,\u201d \u201cplease leave a message,\u201d and \u201cafter the tone,\u201d so transcript-based classification becomes more reliable than waveform analysis alone.<\/p>\n<p>Retell AI&#8217;s blog reports that legacy acoustic AMD achieves 70 to 85 percent accuracy, while modern transcription-based detection lands in the 95 to 98 percent range cited above. Retell AI uses asynchronous AMD. The call connects immediately while a parallel classifier listens during the first seconds of the call, then switches behavior based on the verdict. This avoids the three-to-five seconds of dead air that synchronous AMD introduces, which real humans often interpret as a robocall and hang up.<\/p>\n<p>The detection window is bounded by <code>voicemail_detection_timeout_ms<\/code>. <a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">Retell AI&#8217;s API documentation<\/a> states that continuing to run detection after a couple of minutes \u201conly has a negative impact,\u201d which is why the default timeout is 30 seconds and the hard maximum is 3 minutes. Voicemail detection is available for phone calls only, not web calls.<\/p>\n<h2>How To Configure Voicemail Detection In The Retell Dashboard<\/h2>\n<p>Retell AI exposes two post-detection actions when voicemail is detected: hang up or leave a message. The choice is set through the <code>voicemail_option<\/code> object on the agent.<\/p>\n<p><a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">Per Retell AI&#8217;s API documentation<\/a>, setting <code>voicemail_option<\/code> to null disables voicemail detection entirely. When the object is set, the platform attempts detection during the first 3 minutes of the call and applies the configured action immediately after detection.<\/p>\n<p>For the leave-a-message action, set <code>voicemail_option.action.type<\/code> to <code>prompt<\/code>. The <code>voicemail_option.action.text<\/code> field then holds the prompt used to generate the spoken message dynamically, so the voicemail message is AI-generated from the prompt text rather than a static audio file. The separate <code>voicemail_message<\/code> field defines a static message played when voicemail is detected. Setting it to an empty string causes the call to hang up immediately upon voicemail detection.<\/p>\n<p>The Retell AI voicemail detection timeout, including the secondary keyword \u201cRetell voicemail detection timeout,\u201d is controlled by <code>voicemail_detection_timeout_ms<\/code>. <a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">The API documentation<\/a> sets the valid range at 5,000 ms to 180,000 ms, with a default of 30,000 ms. The right timeout depends on how long your calls ring before voicemail picks up. If most calls are answered within a few rings, the default 30-second window is enough. If your list includes numbers with long ring-then-voicemail patterns, the classifier needs more time before it can commit, so raising the timeout reduces missed detections. <a href=\"https:\/\/rubydoc.info\/gems\/vapi_server_sdk\/0.4.0\/Vapi%2FTwilioVoicemailDetection:machine_detection_timeout\" target=\"_blank\" rel=\"noindex nofollow\">Twilio&#8217;s <code>machineDetectionTimeout<\/code><\/a> follows a similar pattern.<\/p>\n<h2>Retell Voicemail_reached Vs. Ivr_reached: How To Tell Them Apart<\/h2>\n<p>Configuring the timeout and message fields determines whether detection fires. What happens after it fires depends on the disconnection reason Retell AI returns at call end, and two of those reasons are frequently confused: <code>voicemail_reached<\/code> and <code>ivr_reached<\/code>.<\/p>\n<p>Retell AI returns disconnection reasons at call end through the <code>on_call_ended<\/code> webhook. <code>voicemail_reached<\/code> fires when Retell AI detection classifies the answered call as a personal or business voicemail box. Retell AI community guidance recommends treating <code>voicemail_reached<\/code> as a no-answer outcome in outbound waterfall logic. Typical handling is to hang up, log the result, and advance to the next number.<\/p>\n<p>In Retell AI, <code>ivr_reached<\/code> is the disconnection reason that fires when an outbound call reaches an IVR (automated phone menu) system and the agent is configured to hang up when encountering an IVR. <a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">Per the API documentation<\/a>, the <code>ivr_option<\/code> object is configured separately from <code>voicemail_option<\/code>, and its <code>action.type<\/code> only allows <code>hangup<\/code>. Leaving a message on IVR detection is not supported. Setting <code>ivr_option<\/code> to null disables IVR detection.<\/p>\n<p>The practical branching pattern in your webhook handler:<\/p>\n<ul>\n<li>On <code>voicemail_reached<\/code>: log as voicemail, optionally retry later, or trigger a follow-up SMS.<\/li>\n<li>On <code>ivr_reached<\/code>: log as IVR hit, then flag for manual review or skip.<\/li>\n<li>On <code>agent_hangup<\/code> or <code>user_hangup<\/code> without a voicemail-specific reason: Retell AI community guidance recommends confirming the outcome with the <code>get_call<\/code> API before branching, because detection does not always surface a voicemail-specific disconnection reason in edge cases.<\/li>\n<\/ul>\n<p>Misclassification between voicemail and IVR appears often in Retell AI community support threads, including \u201cIssue with Voicemail Detection and IVR Hangup in Conversational Flow\u201d (March 2026) and \u201cVoicemail Detection Failing Often?\u201d (April 2026). The root cause is usually timing. An agent that begins speaking before the classifier commits can interfere with the detection signal, which produces the wrong disconnection reason or none at all.<\/p>\n<h2>Retell Voicemail_option, Voicemail_message, And Voicemail_detection_timeout_ms Explained<\/h2>\n<p><a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">Retell AI&#8217;s API documentation<\/a> defines three fields that control voicemail behavior end to end:<\/p>\n<ul>\n<li><strong>voicemail_option<\/strong>: The primary configuration object. When set, it enables voicemail detection and defines the post-detection action. Required sub-fields are <code>action.type<\/code> (must be <code>prompt<\/code>) and <code>action.text<\/code> (the prompt used to generate the spoken voicemail message). Setting this object to null disables voicemail detection entirely.<\/li>\n<li><strong>voicemail_message<\/strong>: A field that defines a static message played when voicemail is detected. Setting it to an empty string causes an immediate hangup on voicemail detection. This field is available for phone calls only.<\/li>\n<li><strong>voicemail_detection_timeout_ms<\/strong>: The field that controls how long the detection window stays open. Minimum is 5,000 ms. Maximum is 180,000 ms. Default is 30,000 ms. Retell AI states that voicemail detection becomes unlikely after a couple of minutes, so running it longer only has a negative impact.<\/li>\n<\/ul>\n<p>These three fields interact directly. If <code>voicemail_option<\/code> is set and <code>voicemail_detection_timeout_ms<\/code> stays at the default 30,000 ms, detection runs for 30 seconds. If a human answers but Retell human-answer detection times out, Retell triggers an 8-second fallback prompt (\u201cHello, is anyone there?\u201d). It then waits again until the other party speaks. The total delay before the call proceeds as a live answer is around 19 seconds. For campaigns where human greetings are brief, the default timeout is appropriate. For campaigns dialing business numbers with longer automated greetings, increasing the timeout reduces false negatives.<\/p>\n<p>The <code>enable_voicemail_detection<\/code> boolean field is a simpler toggle that enables detection without configuring a post-detection action. It is available for phone calls only. <code>voicemail_option<\/code> remains the object used to configure post-detection actions.<\/p>\n<h2>Why Retell Voicemail Detection Fails On Outbound Calls<\/h2>\n<p>Even with the fields configured correctly, detection still fails in predictable ways. Retell AI community threads document several recurring failure modes, and each one maps to a specific setting.<\/p>\n<p><strong>Retell Voicemail Detection Not Working On Outbound Calls<\/strong><\/p>\n<p>The most common failure occurs when the agent begins speaking before the detection classifier has committed to a verdict. Retell community guidance recommends inserting a 1.5-second pause before the agent speaks, which gives the detection routine time to run before the agent&#8217;s audio interferes with it. This is configured through <code>begin_message_delay_ms<\/code>, which accepts values from 0 to 5,000 ms.<\/p>\n<p><strong>Stopping The Agent From Talking Over Voicemail<\/strong><\/p>\n<p>The goal is to give the classifier more time before the agent&#8217;s audio interferes. Retell support guidance recommends a coordinated set of changes:<\/p>\n<ul>\n<li>Reduce <code>end_call_after_silence_ms<\/code> so voicemail greetings have time to be transcribed before the call ends.<\/li>\n<li>Lower <code>responsiveness<\/code> so the agent waits longer before speaking.<\/li>\n<li>Lower reminder frequency through <code>reminder_max_count<\/code>.<\/li>\n<li>Add fallback voicemail logic in the agent prompt.<\/li>\n<li>Enable IVR hangup to prevent the agent from interacting with IVR menus that could be misclassified.<\/li>\n<\/ul>\n<p>These settings work together as one strategy. Adjusting only a single field often does not resolve the issue.<\/p>\n<p><strong>Voicemail Detection Failing On Transfer Legs<\/strong><\/p>\n<p>Retell AI staff clarified on the community forum that the voicemail detection toggle configured on the original call does not apply to the outbound transfer leg in a warm transfer. Detection must be configured separately for the transfer destination. The recommended fix is to set <code>opt_out_human_detection<\/code> to false on the transfer path. This marks the path as one that may include an internal queue or hold system before an agent answers, so human and voicemail detection run before whisper delivery.<\/p>\n<p><strong>Voicemail Misclassified As IVR Or Live Answer<\/strong><\/p>\n<p>A Retell AI community thread documented a call whose final status was marked as <code>voicemail_reached<\/code> even though the patient had answered before the call ended. This edge case, where a human picks up mid-voicemail playback, is a known misclassification risk. Application logic should treat final call status as a signal, not a guarantee. Branching on disconnection reasons is more reliable than relying solely on in-call speech behavior.<\/p>\n<p><strong>Voicemail Detection Failing On Agents With Transfer Nodes At Launch<\/strong><\/p>\n<p>Retell AI community threads report that agents configured with transfer-to-agent nodes, code or logic split nodes, or variable nodes acting as splitters at launch frequently fail voicemail detection and repeat the same utterances. This pattern reflects a configuration conflict. Community guidance suggests avoiding transfer or logic-split nodes at the very start of the conversation flow when voicemail detection is enabled.<\/p>\n<h2>Retell AI Voicemail Detection Vs Twilio AMD<\/h2>\n<p>The failure modes above are not unique to Retell AI. Every AMD implementation trades off speed against accuracy. Twilio is a common point of comparison for outbound teams, so the differences below show where each platform draws that line.<\/p>\n<p><strong>Detection Method:<\/strong> Retell AI&#8217;s blog states its AMD reads the call transcript for linguistic signals. Twilio&#8217;s documentation describes its AMD as combining tone detection and voice activity detection, analyzing timing, pattern, and frequency information.<sup data-disclaimer-id=\"25\" data-disclaimer-index=\"4\">4<\/sup><\/p>\n<p><strong>Configurable Timeout:<\/strong> <a href=\"https:\/\/mindcloud.co\/docs\/universal\/rest\/retell-ai\/latest\/actions\/create-web-call\" target=\"_blank\" rel=\"noindex nofollow\">Retell AI&#8217;s timeout range<\/a> is 5,000 ms to 180,000 ms, with a default of 30,000 ms. Twilio&#8217;s <code>MachineDetectionTimeout<\/code> ranges from 3 to 59 seconds, with a default of 30 seconds through the Calls API, and 3 to 120 seconds in the Studio widget.<\/p>\n<p><strong>Post-Detection Actions:<\/strong> Retell AI supports hang up or leave a dynamically generated message through <code>voicemail_option<\/code>. Twilio offers two modes: <code>Enable<\/code>, which returns a result as soon as a determination is made, and <code>DetectMessageEnd<\/code>, which waits for the end of the machine greeting before returning a result, enabling voicemail message delivery.<\/p>\n<p><strong>Disconnection Reason Exposure:<\/strong> Retell AI returns <code>voicemail_reached<\/code> and <code>ivr_reached<\/code> as named disconnection reasons in the <code>on_call_ended<\/code> webhook. Twilio returns an <code>AnsweredBy<\/code> field with values including <code>machine_start<\/code>, <code>human<\/code>, <code>fax<\/code>, <code>unknown<\/code>, <code>machine_end_beep<\/code>, <code>machine_end_silence<\/code>, and <code>machine_end_other<\/code>.<\/p>\n<h2>The Carrier-Layer Question: Why Detection Accuracy Depends On Call Routing<\/h2>\n<p>Everything covered so far assumes the call reaches the destination exactly as dialed. In high-volume outbound environments, that assumption often breaks down. The carrier layer can reroute, silence, or block a call before it rings, which changes what the detection classifier ever sees and sets a ceiling on platform-layer detection.<\/p>\n<p>Voicemail detection accuracy is not determined solely by the detection algorithm. What the classifier sees when the call connects depends on what the carrier layer delivers. That includes the caller identity presented to the destination, whether the call authenticates through STIR\/SHAKEN (Secure Telephone Identity Revisited \/ Signature-based Handling of Asserted information using toKENs), and whether the number carries a spam label that causes the destination carrier to route the call differently before it rings.<\/p>\n<p><a href=\"https:\/\/enzodialer.com\/resources\/caller-id\/scam-likely\" target=\"_blank\" rel=\"noindex nofollow\">A call flagged as \u201cSpam Likely\u201d at the carrier level may be blocked outright, or, when the subscriber has enabled screening such as T-Mobile&#8217;s Scam Block or Scam Shield Premium, silenced or routed to voicemail before it rings<\/a>. In that scenario, the destination carrier made that routing decision before the phone rang, regardless of what the called party intended. Voicemail detection then fires on a carrier-generated voicemail, not a human-initiated one, and the disconnection reason reveals little about the prospect&#8217;s intent.<\/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>For high-volume outbound operators, this is where platform-layer detection reaches its ceiling. Plura AI is its own FCC-licensed audio bridging carrier. It runs STIR\/SHAKEN authentication on every outbound call and issues branded caller ID at the carrier level. Before dial, the platform also enforces real-time DNC (Do Not Call) scrubbing and TCPA (Telephone Consumer Protection Act) litigator screening.<sup data-disclaimer-id=\"22\" data-disclaimer-index=\"1\">1<\/sup> The result is that calls reach the destination with a verified identity and a recognizable name, which reduces carrier-level voicemail routing and gives the <a href=\"https:\/\/plura.ai\/ai-predictive-dialer\" target=\"_blank\" rel=\"noindex nofollow\">voicemail detection<\/a> layer a cleaner signal.<\/p>\n<figure style=\"text-align: center\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1779338793506-2d33c5dff8e8.png\" alt=\"Plura Predictive Dialer dashboard displaying AI-powered outbound call pacing, transfer analysis, and dialing performance insights.\" style=\"max-height: 500px\" loading=\"lazy\"><figcaption><em>Plura Predictive Dialer automates outbound calling with AI-powered pacing, transfer optimization, and real-time performance analytics.<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/plura.ai\/ai-voice-demo\" target=\"_blank\" rel=\"noindex nofollow\">See carrier-grade voicemail detection in action<\/a> and watch how carrier-layer authentication affects outbound connect rates on high-volume campaigns.<\/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<h2>Frequently Asked Questions<\/h2>\n<p>The questions below cover the Retell AI configuration details readers ask about most often after working through the sections above.<\/p>\n<h3>Can Retell AI Do Outbound Calls?<\/h3>\n<p>Yes. Retell AI supports outbound phone calls through its API, including the Batch Call API for high-volume campaigns. Outbound calls support voicemail detection, IVR detection, configurable ring duration, and disconnection-reason reporting through webhooks. Voicemail detection is available for phone calls only, not web calls.<\/p>\n<h3>Does Retell AI Record Calls?<\/h3>\n<p>Retell AI stores call data including transcripts, recordings, and logs by default. The <code>data_storage_setting<\/code> field controls what is stored, with options for everything, everything except PII (personally identifiable information), or basic attributes only. The <code>data_storage_retention_days<\/code> field sets how long data is retained, from 1 to 730 days. If not set, data is retained indefinitely.<\/p>\n<h3>What Is The Default Retell Voicemail Detection Timeout?<\/h3>\n<p>The default value for <code>voicemail_detection_timeout_ms<\/code> is 30,000 ms. The valid range is 5,000 ms to 180,000 ms. See the field-explanation section above for Retell AI&#8217;s rationale for capping the window at three minutes.<\/p>\n<h3>How Do I Stop My Retell AI Agent From Talking Over Voicemail?<\/h3>\n<p>See the failure-modes section above for the full fix. In short, insert a pre-speech pause through <code>begin_message_delay_ms<\/code> and adjust <code>end_call_after_silence_ms<\/code>, <code>responsiveness<\/code>, and <code>reminder_max_count<\/code> together.<\/p>\n<h3>What Is The Difference Between voicemail_reached And ivr_reached In Retell AI?<\/h3>\n<p><code>voicemail_reached<\/code> is the disconnection reason returned when Retell AI detection classifies the answered call as a voicemail box. In Retell AI, <code>ivr_reached<\/code> is returned as the disconnection reason when the agent is configured to hang up upon encountering an IVR (automated phone menu) system and an IVR is reached. The two are configured through separate objects. <code>voicemail_option.action<\/code> references the VoicemailAction schema, which includes a prompt type for a generated spoken message. <code>ivr_option.action<\/code> references the IvrAction schema, whose documented example is a hangup action. Application logic should branch on these disconnection reasons separately, because the appropriate follow-up action differs between a voicemail hit and an IVR hit.<\/p>\n<h2>Conclusion: Making Retell Voicemail Detection Work In Production<\/h2>\n<p>Retell AI voicemail detection is configurable and well-documented at the field level. Production reliability, however, depends on three things: tuning <code>voicemail_detection_timeout_ms<\/code>, <code>begin_message_delay_ms<\/code>, and <code>responsiveness<\/code> together; branching webhook logic correctly on <code>voicemail_reached<\/code> versus <code>ivr_reached<\/code>; and accounting for the failure modes that surface on transfer legs and complex conversation flows.<\/p>\n<p>Across the sections above, four factors determine whether voicemail detection holds up in production: detection accuracy, configurable timeout, disconnection-reason visibility, and carrier-layer control. Retell AI addresses the first three at the platform level. Carrier-layer control depends on the outbound infrastructure underneath it.<\/p>\n<p>For operators running campaigns at scale, compare <a href=\"https:\/\/plura.ai\/pricing\" target=\"_blank\">Plura&#8217;s plans and rates<\/a> side by side, and run your numbers through Plura&#8217;s <a href=\"https:\/\/plura.ai\/calculator\" target=\"_blank\">ROI calculator<\/a> to check your economics in real time.<\/p>\n<p><a href=\"https:\/\/plura.ai\/ai-voice-demo\" target=\"_blank\" rel=\"noindex nofollow\">See carrier-grade voicemail detection in action<\/a> and review how branded caller ID and pre-dial compliance support change connect rates on high-volume campaigns.<\/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<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/voicemail-detection-voice-ai\" target=\"_blank\">What Is Voicemail Detection in Voice AI?<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/regal-ai-voicemail-detection\" target=\"_blank\">Regal AI Voicemail Detection: How It Works and Compares<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/voicemail-detection-alternative\" target=\"_blank\">Voicemail Detection Alternatives for Outbound Leaders<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/how-vapi-handles-voicemail-detection\" target=\"_blank\">How Vapi Handles Voicemail Detection: A Configuration Guide<\/a><\/li>\n<li><a href=\"https:\/\/www.plura.ai\/articles\/best-voicemail-detection-providers\" target=\"_blank\">Voicemail Detection Providers Compared: Accuracy &amp; AI (2026)<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Learn how Retell AI voicemail detection works, why it fails, and how Plura AI gives contact centers more reliable outbound call intelligence.<\/p>\n","protected":false},"author":106,"featured_media":3615,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-3616","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\/3616","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=3616"}],"version-history":[{"count":1,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/3616\/revisions"}],"predecessor-version":[{"id":3620,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/posts\/3616\/revisions\/3620"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media\/3615"}],"wp:attachment":[{"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/media?parent=3616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/categories?post=3616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.plura.ai\/articles\/wp-json\/wp\/v2\/tags?post=3616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}