# Voice Agent Launch Checklist: The Go/No-Go Gates Before Real Callers

> A voice agent launch checklist as yes/no gates: scope, offline replay, per-stage latency, barge-in, tools, transport, handoff, cost, guardrails, monitoring and rollback, each with a pass signal and the article that owns the method.

Guide: Voice agents in production — part 11
Published: 2026-10-14 · Updated: 2026-10-15 · 1429 words · ~1901 tokens (estimate)
Canonical: https://changegamer.ai/articles/voice-agent-launch-checklist
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Pillar: https://changegamer.ai/articles/voice-ai-agent-in-production.md

## In short

- A voice agent launch checklist is a set of yes/no gates, each with a pass signal you can show someone, and as the author's inference a single unresolved "no" means the launch waits.
- The evaluating-voice-agents reference says offline evaluation should gate a release by replaying fixed recorded or synthetic calls, including deliberately hard ones such as accents, background noise and crosstalk.
- The voice-realtime-agents reference sets a sub-600 ms glass-to-glass latency target and advises keeping mid-conversation tool calls under 200 ms, so a launch gate should compare measured percentiles against those figures.
- The customer-support-agents reference advises launching on a narrow set of well-understood request types, such as order status and password reset, before expanding into judgment-heavy categories.
- The corpus gives no numeric pass thresholds for barge-in accuracy, false-interruption rate or alert levels, so each launch gate threshold must be set from your own pilot traffic and written down before the go decision.

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A voice agent is ready for real callers when every gate below has a yes and a pass signal you can show someone else; a single "no" means wait. This article is the pre-launch list for the [voice AI agent in production](/articles/voice-ai-agent-in-production) cluster, and each gate points to the article that owns the method instead of repeating it.

Labels: "corpus" means a named reference says it; "inference" means it is the author's own reasoning. The gate list and pass signals are inference, and the only numbers are two corpus targets; every other threshold is "set from your own traffic". Vendor facts in the voice reference carry a 2026-07-09 check date that the later 2026-09-28 pass did not renew.

## What decides whether a voice agent is ready to launch?

Readiness is decided by evidence, not confidence: each gate is a yes/no condition plus a pass signal such as a replay report, a percentile table or a recorded test call. That shape is inference, but the evaluating-voice-agents reference supports its core, saying offline evaluation should gate a release while online monitoring catches what the fixed set misses afterward (corpus).

Three rules keep the list honest (inference):

- Write each threshold down before you look at the result, so the gate cannot move to fit the number.
- Run the gates on the production path: the real transport, the real tools and a real phone or browser, not a developer shortcut.
- Name one person who can say no. A checklist nobody can veto is a status report.

For anything that is not specific to voice, the [shipping agents to production](/resources/shipping-agents-to-production) reference holds the general readiness list. Nothing below stands in for it.

## Which gates cover the conversation itself?

Five gates cover the conversation: scope, offline replay, per-stage latency, barge-in and tools. Each is stated as a question that must be answered yes.

1. **Scope: is the first release limited to request types you understand well?** The customer-support-agents reference advises launching on well-understood types including order status, resets and documented policy lookups (corpus). Pass signal: a written list of in-scope intents and a spoken answer for everything else.
2. **Replay: did a fixed set of calls, including hard ones, pass on the exact build you will ship?** The evaluating-voice-agents reference lists accents, background noise and crosstalk as deliberately hard cases (corpus). Pass signal: a report on the release candidate, not an earlier build. Metric definitions are in [evaluating voice agents](/resources/evaluating-voice-agents).
3. **Latency: are percentiles measured per stage and end to end, against the 600 ms target?** The voice-realtime-agents reference targets sub-600 ms glass to glass (corpus). Pass signal: P50 and P95 per stage from calls over the real path. The split and measurement method are in the [voice agent latency budget](/articles/voice-agent-latency-budget).
4. **Barge-in: does the agent stop for real interruptions and ignore backchannels?** Pass signal: barge-in accuracy and false-interruption rate, both counted from a labelled clip set against thresholds you wrote beforehand, as in [testing turn detection and barge-in](/articles/voice-turn-detection-and-barge-in-testing).
5. **Tools: does every tool have a time budget, a class and a spoken failure path?** The reference advises keeping mid-conversation tool calls under 200 ms (corpus). Pass signal: a table of tools with measured durations; the admission rules are in [tool admission rules for voice](/articles/tools-in-a-voice-agent-loop).

## Which gates cover the path to the caller?

Two gates cover the path: the transport works from the caller's real network, and a handoff works when the agent lets go. Both fail in ways a quiet office test never shows.

6. **Transport: has the chosen transport been exercised from the client types you will serve?** The corpus pairs WebRTC with browser and mobile clients, WebSocket with server-to-server and a SIP path with telephony for some vendors, and says nothing about carriers or the phone network. Pass signal: dropped-connection and real-network tests passed; details in [WebRTC vs WebSocket vs SIP](/articles/voice-agent-transport-webrtc-vs-websocket-vs-sip). For phone calls, place real calls, because no corpus entry substitutes for that.
7. **Handoff: can a caller reach a person, and does the context arrive?** The customer-support-agents reference says to instrument escalation triggers together with deflection from day one (corpus). Pass signal: a recorded transfer that succeeded, one that failed audibly and one with no answer; mechanics in [handoff mechanics on the call](/articles/voice-agent-human-handoff).

## Which gates cover risk, cost and visibility?

Four gates cover what can hurt you after the first hour: cost, spoken output, monitoring and the vendor. They are the ones teams skip because nothing fails during a demo.

8. **Cost: do you have a per-minute figure computed from pilot usage?** Pass signal: a number built from recorded usage and a dated vendor rate card, with the method in [voice agent cost per minute](/articles/voice-agent-cost-per-minute) and a spend limit you will notice reaching.
9. **Guardrails: has spoken output been tested adversarially, with a fail-closed behavior defined?** The voice-realtime-agents reference warns that cascaded pipelines inherit transcription errors (corpus). Pass signal: a recorded adversarial script run; see [guardrails for spoken output](/articles/guardrails-for-spoken-output-in-voice-agents).
10. **Monitoring: do dashboards and alerts exist, and has an alert been fired deliberately?** The evaluating-voice-agents reference names transcription confidence, per-stage and end-to-end latency and containment as online signals (corpus). Pass signal: a fault injected on purpose reached a human. The plan is in [the live dashboard plan](/articles/voice-agent-online-monitoring). Traces should also let you find one call: the agent-observability reference describes the trace and span model for that.
11. **Vendor and rollback: do you know which model serves calls, and can you return to the previous configuration in one step?** Pass signal: the model identifier appears on a sample trace and a rollback was rehearsed once; the routine is in [handling a vendor model change](/articles/voice-agent-vendor-change-management). Generic canary mechanics sit in [agent rollout and rollback](/articles/agent-rollout-and-rollback).

The architecture decision behind gates 3 and 9 is already made by launch day; if you doubt it, the seams are laid out in [what to log and filter by architecture](/articles/voice-agent-architecture-cascaded-vs-speech-to-speech).

## How should the first real traffic be sequenced?

Send real callers in widening steps with a human reachable throughout, and widen only when the gates still hold on the new traffic. This is the pillar's launch order, restated as a decision rule rather than copied: internal callers first, then a small share of real traffic, then more scope as handoff and resolution logs say it is safe (corpus advice for scope, inference for the steps).

| Step | Who calls | Hold until |
|---|---|---|
| 1 | Your own team, on the production path | Gates 1 to 11 each have a recorded pass |
| 2 | A small share of real traffic on in-scope intents | Live panels match the replay and pilot baselines |
| 3 | More traffic or more intents, one change at a time | Handoff reasons and resolution still look healthy |

The share and the hold time are yours to set from your own traffic; the corpus gives neither.

## What does the corpus not say about launching a voice agent?

The corpus does not give pass thresholds, compliance requirements or telephony procedures, so a checklist built on it can structure the decision but cannot make it. Specifically, as of October 2026:

- no numeric threshold for barge-in accuracy, false-interruption rate, transcription confidence or alert levels;
- nothing on call recording consent, disclosure that the caller is speaking to an AI, or regional telephony rules, so take legal advice for the places your callers are;
- nothing on trunking, touch-tone input or codecs beyond the existence of vendor SIP paths;
- vendor facts dated 2026-07-09, so re-read current vendor documentation before relying on a model name, transport or price.

## Has ChangeGamer run a go/no-go gate itself?

Not on voice, since it has no voice agent and no call data, but it does run a publishing gate shaped like the checklist above. Its CI workflow, `.github/workflows/ci.yml`, runs `node ../scripts/aeo-audit.mjs --since 2026-08-14 --min 85` and fails the build for an article scoring below the floor. A comment in that file records the floor being raised from 80 to 85 on 2026-08-14 and says never to lower it to make a red build pass. That is the discipline worth borrowing: a fixed threshold, written before the result, enforced by a machine rather than by goodwill. For the metric definitions behind your own thresholds, see [evaluating voice agents](/resources/evaluating-voice-agents) and [voice and realtime agents](/resources/voice-realtime-agents); launch scope for customer-facing agents is in [AI customer support agents](/resources/customer-support-agents). If callers will use more than one language, add a per-language replay and an unsupported-language handoff as described in [how a voice agent handles callers who speak another language](/articles/voice-agent-multilingual-callers).

## Frequently asked questions

### What should be on a voice agent launch checklist?

A voice agent launch checklist should cover scope, an offline replay, per-stage latency, barge-in, tools, transport, human handoff, cost, spoken-output guardrails, live monitoring and a rollback path. Each item should be a yes/no gate with a pass signal, an inference of this article, not a corpus standard.

### How do you decide a voice agent is ready for real callers?

A voice agent is ready when every gate on your checklist has a recorded pass signal, including an offline replay that gates the release per the evaluating-voice-agents reference. The thresholds are yours to set from pilot traffic, because the corpus supplies almost none.

### Should a voice agent launch to all callers at once?

No, as the author's inference. The customer-support-agents reference advises starting on a narrow set of well-understood request types, and the pillar sequences launch from internal callers to a small share of real traffic with a human fallback always reachable.

### Does a voice agent launch checklist replace the general agent checklist?

No. This checklist adds the voice-only gates, such as barge-in, spoken guardrails and handoff audio, while the shipping-agents-to-production reference holds the general readiness list for evaluation gates, observability, cost controls and rollback that any customer-facing agent needs.


---

## The rest of this guide

- [Voice AI Agent in Production: Architecture, Latency, Handoff and Launch](https://changegamer.ai/articles/voice-ai-agent-in-production.md): How to build and run a voice AI agent in production: cascaded vs speech-to-speech architecture, turn detection and barge-in, the latency budget, tool calls in a voice loop, transport, cost, human handoff and launch sequencing.
- [Voice Agent Latency Budget: Where the 600 ms Goes and How to Hold It](https://changegamer.ai/articles/voice-agent-latency-budget.md): How to split a 600 ms voice agent latency budget across speech-to-text, the language model, speech synthesis and tool calls, how to measure each stage, and which levers hold the budget.
- [How to Test Voice Agent Turn Detection and Barge-In](https://changegamer.ai/articles/voice-turn-detection-and-barge-in-testing.md): How to test voice agent turn detection and barge-in: build a labelled clip set, count barge-in accuracy and false-interruption rate, separate cut-off from talk-over failures, and split offline gates from online monitors.
- [What to Log and Filter in a Voice Agent, by Architecture](https://changegamer.ai/articles/voice-agent-architecture-cascaded-vs-speech-to-speech.md): What to log and filter in a voice agent depending on architecture: where a cascaded pipeline gives you text seams for logging, redaction and output filters, what a native speech-to-speech model leaves you to do from outside, and what a model swap forces you to re-test.
- [Function Calling in a Voice Agent: What a Tool May Be in a Spoken Loop](https://changegamer.ai/articles/tools-in-a-voice-agent-loop.md): Function calling in a voice agent: which vendors and frameworks support tools as of the corpus's 2026-07-09 verification, how to classify tools as lookup, action or handoff, what barge-in does to a side effect, and a checklist for admitting a tool.
- [Voice Agent Transport: WebRTC vs WebSocket, and Where SIP Fits](https://changegamer.ai/articles/voice-agent-transport-webrtc-vs-websocket-vs-sip.md): WebRTC vs WebSocket for voice AI agents: which transport each vendor documents as of the corpus's 2026-07-09 verification, how cascaded stacks use WebSocket components, a decision tree by client type, and a per-transport test checklist.
- [Voice Agent Human Handoff: What Happens on the Call When the Agent Lets Go](https://changegamer.ai/articles/voice-agent-human-handoff.md): Voice agent human handoff mechanics: the handoff as a tool that ends the agent's session, barge-in during the transfer announcement, what the caller hears on hold and on failure, a context payload schema, and a real-call test checklist.
- [How to Compute Your Voice Agent Cost per Minute](https://changegamer.ai/articles/voice-agent-cost-per-minute.md): How to compute a voice agent cost per minute from your own pilot: symbolic formulas for native speech-to-speech and cascaded STT, LLM and TTS, the variables that move the result, idle audio, retries, tool-call turns, and a sensitivity check.
- [Voice Agent Guardrails: Checking What the Agent Says Before the Caller Hears It](https://changegamer.ai/articles/guardrails-for-spoken-output-in-voice-agents.md): Voice agent guardrails for spoken output: sentence-level gating before TTS, fail-closed judges, spoken numbers a text PII filter misses, readback before state changes, transcription-driven injection, refusal phrasing for the ear, and an adversarial test list.
- [How to Monitor a Voice Agent in Production: Dashboard, Alerts and Runbook](https://changegamer.ai/articles/voice-agent-online-monitoring.md): How to monitor a voice agent in production: per-stage latency percentiles, transcription confidence, containment paired with a resolution signal, live false-interruption rate, a handoff trigger review, and call-audio retention, each with what to chart, alert on and do.
- [How to Handle Voice AI Vendor Model Changes Without Regressing Callers](https://changegamer.ai/articles/voice-agent-vendor-change-management.md): How to handle voice AI vendor model changes: classify the change, record the model id on every trace, replay an offline set with hard calls on old and new, canary before cutover, keep a rollback, and run a deprecation-readiness routine.
- [How Does a Voice Agent Handle Callers Who Speak Another Language?](https://changegamer.ai/articles/voice-agent-multilingual-callers.md): How a live voice agent handles callers who speak another language: detecting the language, choosing speech components per language, slicing evaluation by language and handing off when the language is unsupported, with the thin corpus evidence stated plainly.

## Reference resources

- https://changegamer.ai/resources/voice-realtime-agents.md
- https://changegamer.ai/resources/evaluating-voice-agents.md
- https://changegamer.ai/resources/customer-support-agents.md
- https://changegamer.ai/resources/agent-observability.md

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