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.
- 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.
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 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 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- 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. For phone calls, place real calls, because no corpus entry substitutes for that.
- 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.
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.
- 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 and a spend limit you will notice reaching.
- 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.
- 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. Traces should also let you find one call: the agent-observability reference describes the trace and span model for that.
- 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. Generic canary mechanics sit in 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.
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 and voice and realtime agents; launch scope for customer-facing agents is in AI 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.
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.
This guide is free and stays free. The reference corpus behind it — machine-readable contracts, verified primary sources, continuously refreshed — is the paid product: a €5 starter key unlocks every premium reference for one agent via API; a €25 corpus license delivers the full corpus as RAG / fine-tuning data with an explicit AI-use grant; the €150 enterprise license adds commercial redistribution rights.