# How To Configure Voicemail Detection Timeout Settings

> Configure AMD timers across platforms with confidence. Plura AI enforces voicemail detection inside its carrier stack for cleaner call outcomes.

**Published:** 2026-09-11 | **Updated:** 2026-11-06 | **Author:** plurasync
**URL:** https://www.plura.ai/articles/voicemail-detection-timeout-settings
**Type:** post

**Categories:** AI Contact Centers

![How To Configure Voicemail Detection Timeout Settings](https://plura.sites.aigrowthagent.co/wp-content/uploads/sites/75/2026/09/1789038972188-2fd8a57edc53-1024x572.webp)

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## Content

*Written by: Matt Beucler, CEO, Plura AI | Last updated: September 29, 2026*

*Updated 2026-09-29*

## Key Takeaways for Contact Center and Revenue Leaders

- Voicemail detection uses two timers that control different stages of the call: a short detection/classification timeout and a longer beep-await timeout.
- Confusing milliseconds and seconds is the most common AMD configuration error across platforms.
- Initial silence and post-greeting silence sub-timers work together to separate live humans from voicemail greetings.
- Carrier failover can introduce routing delay that affects when AMD actually starts listening.
- Plura AI enforces voicemail detection and timeout logic inside its own FCC-licensed carrier stack, so AMD behavior stays consistent across traffic.

[See Plura’s voicemail detection on a live demo](https://www.plura.ai/plura-webchat?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)

## Normalizing Milliseconds And Seconds In AMD Configuration

Unit confusion drives many AMD misconfigurations. Platforms mix milliseconds and seconds across their parameter sets. The same logical value can appear as 5000 or 5, depending on which platform’s documentation you read. [The conversion is always: divide milliseconds by 1,000 to get seconds.](https://vmhunter.com/blog/asterisk-voicemail-detection-setup)

The table below normalizes common AMD parameter ranges across both units:

| Parameter | Milliseconds | Seconds |
| --- | --- | --- |
| Initial silence | 2,000–2,500 ms | 2–2.5 s |
| Post-greeting silence | 800–1,000 ms | 0.8–1 s |
| AMD classification ceiling | 3,000–5,000 ms | 3–5 s |
| Beep-await window | 25,000–30,000 ms | 25–30 s |

[Platforms that use milliseconds natively include Asterisk and Retell AI.](https://mindcloud.co/docs/universal/rest/retell-ai/latest/actions/create-web-call)3 [Platforms that use seconds natively include Twilio’s MachineDetectionTimeout and LiveKit’s timeout.](https://zian.ai/ai-voice-agent-voicemail-detection-failures)3 [Vapi mixes units across its AMD-related parameters](https://www.skool.com/voice-ai-alliance/vapi-help): its voicemailDetection settings use seconds (for example, `startAtSeconds`, `frequencySeconds`), while the Twilio AMD it runs alongside reports `MachineDetectionDuration` in milliseconds.3 Verify the unit for each parameter individually before entering a value.

## Configuring Initial Silence And Post-Greeting Silence Sub-Timers

The detection/classification timeout contains two sub-timers that separate a quick “hello” from a voicemail greeting.

**Initial silence timeout** is the maximum silence allowed at the start of the answer before the detector hears any audio. [Asterisk’s default is 2,500 ms](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings), [expressed as initial_silence in amd.conf and as initialSilence in the dialplan application](https://vmhunter.com/blog/asterisk-voicemail-detection-setup). [If the initial silence window expires before the detector hears the first qualifying word, the call is classified as MACHINE with an AMDCAUSE beginning with INITIALSILENCE.](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings)

**Post-greeting silence** is how long the detector waits after the initial audio burst ends for a pause. [Asterisk’s default is 800 ms](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings), [expressed as after_greeting_silence](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings). A short pause after a human greeting suggests the person finished speaking and is waiting. A short pause in a voicemail greeting suggests the recorded message is about to continue.

When initial silence fires but post-greeting silence does not, the call is typically classified as MACHINE with AMDCAUSE reporting INITIALSILENCE. This occurs when the initial silence window expires before the detector hears the first qualifying word. The practical implication is straightforward. If you shorten `initial_silence` to speed up machine handling, recipients who answer and wait for the caller to speak will be classified as machines. [A documented Asterisk tuning example](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings) shows that reducing `initial_silence` from 2,500 ms to 1,200 ms produced this failure and required reverting to the default.

Shorter post-greeting silence values return human calls faster but create false-human results when voicemail speakers pause between sentences. The 800 ms `after_greeting_silence` default in Asterisk is a reasonable floor for most SIP trunk configurations. [VICIdial production deployments typically use 1,000 ms](https://libraries.io/npm/@vicistack%2Famd-config).

## Troubleshooting Voicemail Detection Timeouts With A Symptom Table

The table below maps each production failure to the parameter that most directly affects it. AMD timers interact, so changing more than one at a time makes it hard to see which adjustment caused the result. Change one timer, measure the specific failure mode, and revert if the failure shifts to a different symptom.

| Symptom | Parameter To Change | Direction | Reasoning |
| --- | --- | --- | --- |
| Live human cut off | Detection/classification timeout | Raise | Short timeout misclassifies brief human greetings as machine |
| Dead air on machines | Detection/classification timeout | Lower | Long timeout delays routing on confirmed machines |
| Missed beep | Beep-await/max-duration timeout | Raise | Beep arrives after timeout expires; most voicemail systems play 10–20 seconds of greeting before the beep (see beep-await discussion below) |
| Agent waits too long on voicemail | Max-duration ceiling | Lower | Reduces agent idle time on voicemail calls |

Note on the abandonment clock: under [47 C.F.R. § 64.1200(a)(7)](https://leadcompliant.com/articles/cold-calling-rules/what-counts-as-an-abandoned-call-under-tcpa-regulations), a call is described as abandoned when a live person answers and is not connected to a representative within two seconds of their completed greeting. AMD latency sits inside that window. Consult qualified counsel regarding how your AMD configuration interacts with applicable regulations.2

[Plura AI’s AI Predictive Dialer](https://plura.ai/ai-predictive-dialer?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent) enforces voicemail detection and timeout logic inside the carrier stack, so classification happens before the call reaches an agent queue.

Walk through AMD tuning with a Plura specialist

## Platform Parameter Names For Voicemail Detection Timeouts

Once you know which timer to change, the next step is finding it in each platform. Parameter names and units differ by stack, so the table below maps the equivalent settings across major platforms.

| Platform | Detection Timeout Parameter | Beep-Await Parameter | Unit |
| --- | --- | --- | --- |
| [Asterisk](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings) | [total_analysis_time (default 5,000 ms)](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings) | N/A (no beep concept; returns MACHINE at threshold) | ms |
| Twilio | `MachineDetectionTimeout` (default 30 s, range 3–59 s) | [DetectMessageEnd mode](https://zian.ai/ai-voice-agent-voicemail-detection-failures) | s |
| [Retell AI](https://mindcloud.co/docs/universal/rest/retell-ai/latest/actions/create-web-call) | [voicemailDetectionTimeoutMs (default 30,000 ms, range 5,000–180,000 ms)](https://mindcloud.co/docs/universal/rest/retell-ai/latest/actions/create-web-call) | [voicemailOption](https://mindcloud.co/docs/universal/rest/retell-ai/latest/actions/create-web-call) | ms |
| Vapi | Initial detection delay | [beepMaxAwaitSeconds (default 30 s)](https://zian.ai/ai-voice-agent-voicemail-detection-failures) | s |
| [LiveKit](https://zian.ai/ai-voice-agent-voicemail-detection-failures) | [timeout (default 20 s)](https://zian.ai/ai-voice-agent-voicemail-detection-failures) | N/A | s |
| Genesys | Post-Connect Call Analysis (PCA) | N/A | s |

A few platform-specific notes drawn from published documentation help explain real-world behavior:

- Twilio caps `MachineDetectionTimeout` at 60 seconds, so values above 60 are reduced to 60. Twilio also documents that a low `MachineDetectionTimeout` produces more `unknown` results, a low `MachineDetectionSpeechThreshold` causes more false machine detections on short human responses, and a high `MachineDetectionSpeechEndThreshold` delays human detection.
- [LiveKit’s timeout resets once the participant’s audio track is subscribed](https://zian.ai/ai-voice-agent-voicemail-detection-failures), so the effective ceiling can reach roughly twice the configured value with carrier early media. [A bug in which the 20-second budget burned down during ringback was fixed in LiveKit PR #6580, merged August 5, 2026.](https://zian.ai/ai-voice-agent-voicemail-detection-failures)
- [Retell AI runs voicemail detection only for the first three minutes of a call](https://zian.ai/ai-voice-agent-voicemail-detection-failures) and only on outbound calls.
- Genesys Cloud users have observed a 4–5 second delay between a contact answering and the call connecting to an agent when Post-Connect Call Analysis is enabled. Disabling PCA also disables AMD.

## How Carrier Failover Changes Voicemail Detection Behavior

Carrier failover introduces timing behavior that most vendor settings pages do not describe. When a call routes through a failover carrier, the timeout configuration that worked on the primary trunk can behave differently on the backup path.

[VoIP failover routing is typically triggered 30–120 seconds after detecting loss](https://voiptest.com/blog/voip-failover-architectures), depending on the provider and detection mechanism such as lapsed registration, unanswered INVITEs, or OPTIONS pings. That routing delay adds directly to the time before AMD can begin on the failover leg. If your `initial_silence` window is 2,500 ms and the failover leg takes 45 seconds to establish, the AMD clock starts only after the failover completes.

Carrier voicemail systems return the same SIP response sequence as a human answer: a provisional 100, a 183 Session Progress, then a 200 OK. Intermediate carriers and SIP trunks can strip the Diversion and History-Info headers that would otherwise reveal a redirect, so classification depends on when usable RTP audio reaches the detector rather than on SIP answer time alone.

Two additional behaviors matter when failover routes are active:

- Confirm that your `initial_silence` window still exists when usable audio arrives. [Detection latency should be measured from the moment usable called-party audio reaches the detector](https://amdy.io/blog/freeswitch-answering-machine-detection-setup-testing), not from SIP answer time.
- Confirm that your beep-await timeout is long enough for any extra greeting length introduced by the failover carrier’s voicemail system. Different carriers use different voicemail greeting lengths.

Plura’s FCC-licensed carrier stack provides a single, owned media path for voice origination. Because Plura is not routing through a third-party CPaaS, intermediate-carrier header stripping on reseller paths does not affect calls originating on Plura’s infrastructure.

## Defensible Starting Points For Voicemail Detection Timeouts

The values below provide practical starting points with clear reasoning. Every AMD configuration trades detection speed against classification accuracy, so measure your own traffic before treating any of these as final.

- **Detection/classification timeout: 3,500–5,000 ms.** This window captures a brief human greeting while still routing confirmed machines without long dead air. [Asterisk’s total_analysis_time defaults to 5,000 ms, with many operators setting it to 3,000–4,000 ms in practice](https://amdy.io/blog/vicidial-amd-variables) to reduce the dead air that causes live humans to hang up before agent connection.
- **Initial silence timeout: 2,000–2,500 ms.** [Asterisk’s default initial_silence is 2,500 ms, with 2,000 ms a commonly recommended tuned value.](https://amdy.io/blog/vicidial-amd-variables) Shorter values misclassify humans who pause before speaking.
- **Post-greeting silence: 800–1,000 ms.** [Asterisk’s default post-greeting silence (after_greeting_silence) is 800 ms.](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings) Shorter values create false-human results when voicemail speakers pause between sentences.
- **Beep-await/max-duration timeout: 25–30 seconds.** [Most voicemail systems play 10–20 seconds of greeting before the beep](https://zian.ai/ai-voice-agent-voicemail-detection-failures), so a 25–30 second window provides a buffer without holding the line excessively.

Tuning loop: change one timer at a time, measure the specific failure mode using the symptom-to-parameter table above, and revert if the failure shifts to a different symptom. [Start with maximum_number_of_words and greeting on Asterisk-based systems](https://amdy.io/blog/vicidial-amd-variables), because those two variables strongly influence whether live humans pass as HUMAN.

[Review your AMD settings with Plura’s team](https://www.plura.ai/plura-webchat?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)

## Why Plura AI Enforces Voicemail Detection Inside Its Own Carrier Stack

Most AI voice platforms operate as API resellers on top of Twilio or another CPaaS. They do not own the carrier, cannot issue branded caller ID at the carrier level, and cannot enforce AMD logic before the call leaves their network. Timeout tuning on those platforms depends on carrier behavior that sits outside the platform’s direct control.

Plura AI is its own FCC-licensed audio bridging carrier. Its [AI Predictive Dialer](https://plura.ai/ai-predictive-dialer?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent) applies voicemail detection and timeout logic inside the carrier stack rather than through a third-party CPaaS wrapper. That design delivers several operational advantages:

- AMD classification runs on Plura’s own infrastructure, so behavior stays consistent across campaigns and carrier routes.
- Branded caller ID is issued at the carrier level under Plura’s operating company number.
- TCPA compliance support, real-time DNC scrubbing, and STIR/SHAKEN authentication run inside the platform on every outbound contact.1
- Intermediate-carrier header stripping that hides routing evidence from AMD on reseller platforms does not affect calls originating on Plura’s stack.

For operators comparing platforms, Plura’s comparison pages cover the carrier-stack distinction in detail. [Pricing](https://plura.ai/pricing?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent) starts at $5,000/month on annual contracts with a 90-day opt-out window.

Plura also supports [50+ integrations across 10+ categories, including CRMs, calendars, and data enrichment tools](https://plura.ai/integrations?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent). Its [managed workflows](https://plura.ai/managed-workflows?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent) let operators configure voicemail handling logic on a no-code visual canvas without engineering involvement.

Explore Plura’s carrier stack and AMD in a live session

## Frequently Asked Questions About Voicemail Detection Timeouts

### What Is A Good AMD Timeout Value?

A detection/classification timeout of 3,500–5,000 ms is a defensible starting point for many SIP trunk configurations. Shorter values risk cutting off brief human greetings. Longer values add dead air that causes live humans to hang up before agent connection. The right value depends on your carrier, your call population, and whether you dial residential or business numbers. [Business receptionists routinely answer with six to ten words](https://amdy.io/blog/vicidial-amd-variables), which can push past a tight classification ceiling and produce false-machine results. Measure your own AMDCAUSE distribution before settling on a value.

### How Long Should Beep Detection Wait?

A beep-await timeout of 25–30 seconds is standard. [Most voicemail systems play 10–20 seconds of greeting before the beep](https://zian.ai/ai-voice-agent-voicemail-detection-failures), so this window provides a reasonable buffer. Setting this value under 15 seconds risks the system speaking before the beep, which causes the recorded message to be cut off or delivered into silence. The beep-await timer runs only after a machine verdict has already been returned and is separate from the detection/classification timeout.

### What Is The Difference Between Initial Silence And Post-Greeting Silence?

Initial silence timeout is the maximum silence allowed at the start of the answer before the detector hears any audio, typically 2–2.5 seconds. If this window expires before the first qualifying word arrives, the call is classified as MACHINE. Post-greeting silence is how long the detector waits after the initial audio burst ends for a pause, typically 0.8–1 second. A short pause after a human greeting suggests a person waiting for a response, while a short pause in a voicemail greeting suggests the recorded message is about to continue. These two sub-timers work together to distinguish a live human from a voicemail system, so tuning one without considering the other often creates false classifications.

### What Happens When Initial Silence Fires But Post-Greeting Silence Does Not?

The call is typically classified as MACHINE with an AMDCAUSE beginning with INITIALSILIGENCE. This occurs when the initial silence window expires before the detector hears the first qualifying word. The practical cause is usually one of three things: the called party paused before speaking, the carrier introduced setup latency that consumed the silence window before audio arrived, or a SIP provider signaled an answered call before usable media was available. Check your carrier’s false-answer supervision behavior before adjusting the initial silence parameter.

### How Do I Convert Milliseconds To Seconds For AMD Parameters?

[Divide milliseconds by 1,000.](https://vmhunter.com/blog/asterisk-voicemail-detection-setup) For example, [5,000 ms = 5 seconds](https://vmhunter.com/blog/asterisk-voicemail-detection-setup), [2,500 ms = 2.5 seconds](https://vmhunter.com/blog/asterisk-voicemail-detection-setup), [800 ms = 0.8 seconds](https://vmhunter.com/blog/asterisk-voicemail-detection-setup), [30,000 ms = 30 seconds](https://mindcloud.co/docs/universal/rest/retell-ai/latest/actions/create-web-call). The most common unit error is entering a millisecond value into a field that expects seconds, or the reverse. Always verify the unit for each parameter in the platform’s documentation before entering a value.

### What Is The AI AMD Classification Ceiling?

The AI AMD classification ceiling is the maximum time the detection engine spends analyzing audio before returning a verdict. [Heuristic and tone-based AMD share the same classification ceiling across both telephony stacks](https://amdy.io/blog/freeswitch-asterisk-ai-amd). Asterisk’s `app_amd` classifies in roughly 1.5–3 seconds. FreeSWITCH’s `mod_avmd` waits through the full greeting. [When the analysis window expires without a confident classification, Asterisk returns NOTSURE and Twilio returns unknown](https://amdy.io/blog/asterisk-amd-configuration-amd-conf-settings) rather than a confident HUMAN or MACHINE result. An unknown result signals that the engine ran out of time before reaching a confident classification. Unknown results should be routed explicitly, typically to the human queue, rather than defaulting to a machine disposition. A rise in unknown results often indicates a connectivity or capacity issue rather than a tuning problem.

## Conclusion: Applying Voicemail Detection Timeouts In Production

The two-timer model sits at the core of correct AMD configuration. The detection/classification timeout and the beep-await/max-duration timeout govern different stages of the same call. Treating them as a single “5–30 seconds” range leads to most production misconfigurations.

Sub-timers matter as well. Initial silence and post-greeting silence separate a human “hello” from a voicemail greeting, while carrier failover adds routing latency that can consume the initial silence window before usable audio arrives. Platform parameter names and units vary, so verify both before entering any value.

Plura AI enforces voicemail detection and timeout logic inside its own FCC-licensed carrier stack, which removes the third-party CPaaS wrapper layer that often obscures AMD behavior on reseller platforms. For high-volume outbound operations, that carrier control affects answer rates, agent productivity, and compliance support.

For further reading, see the related guides: [Voicemail Detection Parameters: Cross-Platform Guide](https://www.plura.ai/articles/voicemail-detection-parameters/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent), [Voicemail Detection Latency: The Millisecond Budget](https://www.plura.ai/articles/voicemail-detection-latency/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent), and [Voicemail Beep Detection: How It Works and Why It Fails](https://www.plura.ai/articles/voicemail-beep-detection/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent).

Schedule a Plura demo focused on AMD and voicemail handling

1 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’s 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.

2 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.

3 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.

This article is provided for informational purposes only and reflects Plura AI’s understanding at the time of publication. Product capabilities, integrations, and specifications are subject to change. For the most current information, visit plura.ai.

This article was produced with the assistance of AI tools and reviewed by Plura AI prior to publication.

## Read Next

- [Voicemail Beep Detection: AMD vs. Beep Timing Explained](https://www.plura.ai/articles/voicemail-beep-detection/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)
- [AMD Tuning and Voicemail Detection: The Practical Guide](https://www.plura.ai/articles/voicemail-detection-parameters/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)
- [Voicemail Detection Best Practices: An Operator’s Playbook](https://www.plura.ai/articles/best-voicemail-detection-practices/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)
- [How Voicemail Detection and AMD Work in Call Centers](https://www.plura.ai/articles/voicemail-detection-call-centers/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)
- [Voicemail Detection Latency: Stage-By-Stage Breakdown](https://www.plura.ai/articles/voicemail-detection-latency/?utm_term=voicemail-detection-timeout-settings&utm_campaign=ai_growth_agent)

---

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      - **Text:** A detection/classification timeout of 3,500–5,000 ms is a defensible starting point for many SIP trunk configurations. Shorter values risk cutting off brief human greetings. Longer values add dead air that causes live humans to hang up before agent connection. The right value depends on your carrier, your call population, and whether you dial residential or business numbers. Business receptionists routinely answer with six to ten words, which can push past a tight classification ceiling and produce false-machine results. Measure your own AMDCAUSE distribution before settling on a value.
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      - **Text:** A beep-await timeout of 25–30 seconds is standard. Most voicemail systems play 10–20 seconds of greeting before the beep, so this window provides a reasonable buffer. Setting this value under 15 seconds risks the system speaking before the beep, which causes the recorded message to be cut off or delivered into silence. The beep-await timer runs only after a machine verdict has already been returned and is separate from the detection/classification timeout.
    **Question:**

    - **Name:** What Is The Difference Between Initial Silence And Post-Greeting Silence?
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      - **Text:** Initial silence timeout is the maximum silence allowed at the start of the answer before the detector hears any audio, typically 2–2.5 seconds. If this window expires before the first qualifying word arrives, the call is classified as MACHINE. Post-greeting silence is how long the detector waits after the initial audio burst ends for a pause, typically 0.8–1 second. A short pause after a human greeting suggests a person waiting for a response, while a short pause in a voicemail greeting suggests the recorded message is about to continue. These two sub-timers work together to distinguish a live human from a voicemail system, so tuning one without considering the other often creates false classifications.
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    - **Name:** What Happens When Initial Silence Fires But Post-Greeting Silence Does Not?
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      - **Text:** The call is typically classified as MACHINE with an AMDCAUSE beginning with INITIALSILENCE. This occurs when the initial silence window expires before the detector hears the first qualifying word. The practical cause is usually one of three things: the called party paused before speaking, the carrier introduced setup latency that consumed the silence window before audio arrived, or a SIP provider signaled an answered call before usable media was available. Check your carrier’s false-answer supervision behavior before adjusting the initial silence parameter.
    **Question:**

    - **Name:** How Do I Convert Milliseconds To Seconds For AMD Parameters?
      **Answer:**

      - **Text:** Divide milliseconds by 1,000. For example, 5,000 ms = 5 seconds, 2,500 ms = 2.5 seconds, 800 ms = 0.8 seconds, 30,000 ms = 30 seconds. The most common unit error is entering a millisecond value into a field that expects seconds, or the reverse. Always verify the unit for each parameter in the platform’s documentation before entering a value.
    **Question:**

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      - **Text:** The AI AMD classification ceiling is the maximum time the detection engine spends analyzing audio before returning a verdict. Heuristic and tone-based AMD share the same classification ceiling across both telephony stacks. Asterisk’s app_amd classifies in roughly 1.5–3 seconds. FreeSWITCH’s mod_avmd waits through the full greeting. When the analysis window expires without a confident classification, Asterisk returns NOTSURE and Twilio returns unknown rather than a confident HUMAN or MACHINE result. An unknown result signals that the engine ran out of time before reaching a confident classification. Unknown results should be routed explicitly, typically to the human queue, rather than defaulting to a machine disposition. A rise in unknown results often indicates a connectivity or capacity issue rather than a tuning problem.

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  - **Headline:** How To Configure Voicemail Detection Timeout Settings
  - **Description:** Configure AMD timers across platforms with confidence. Plura AI enforces voicemail detection inside its carrier stack for cleaner call outcomes.
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    - **JobTitle:** CEO
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---

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  - Well-Known: [https://www.plura.ai/articles/.well-known/mcp](https://www.plura.ai/articles/.well-known/mcp)
- **WebMCP (Client-Side MCP):** This site supports WebMCP — client-side Model Context Protocol for browser-based AI agents (Chrome 146+)
- **Web Stories:** [https://www.plura.ai/articles/web-stories-sitemap.xml](https://www.plura.ai/articles/web-stories-sitemap.xml) — AMP Web Stories for rich visual content experiences

## Discovery Endpoints for AI Agents

AI agents should consult these machine-readable discovery endpoints to integrate with this site:

- **OpenAI Plugin Manifest:** [https://www.plura.ai/articles/.well-known/ai-plugin.json](https://www.plura.ai/articles/.well-known/ai-plugin.json)
- **A2A Agent Card:** [https://www.plura.ai/articles/.well-known/agent-card.json](https://www.plura.ai/articles/.well-known/agent-card.json)
- **MCP Server (Streamable HTTP):** [https://www.plura.ai/articles/.well-known/mcp](https://www.plura.ai/articles/.well-known/mcp)

## Citations

- [TCPA Opt-Out Rules 2026: What Is Enforceable Now vs. Nov. 25](https://www.plura.ai/articles/tcpa-opt-out-rules)
- [FCC 26-67: What the TCPA Rule Changes Mean for Operators](https://www.plura.ai/articles/fcc-26-67-tcpa-order)
- [TCPA Informational vs Marketing Messages: Key Differences](https://www.plura.ai/articles/tcpa-informational-vs-marketing-messages)
- [SIP Error Codes for Disconnected Numbers: Retry or Suppress](https://www.plura.ai/articles/sip-error-codes-disconnected-numbers)
- [TCPA Opt-Out Compliance: 2026 Rule Changes and Controls](https://www.plura.ai/articles/tcpa-opt-out-compliance-checklist)

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