A voice agent isn't launched once — it's kept honest for its whole life.
All ten Voice Desk Systems under one honest standard: build, prove, and test the agent, run the live calls, and cover every call-data compliance exposure. $549 versus $800 separately, plus the connective Voice Desk Playbook.
These tools cover an AI voice or chat agent from before its first call to long after. Before release: lint the prompt against hard safety gates, and prove the live agent is running the version you approved. After release: catch a behavior regression, grade the real calls the dashboard marks “resolved,” assemble a warm handoff before a transfer, and reconcile the appointments the agent claimed. Underneath all of it sits call-data compliance: DNC suppression, calling-window timing, spoken-PII redaction, retention purging. Each returns a verdict from your own exports, offline, and grades prompts, calls, and records, never a person.
Vapi · Retell · ElevenLabs · GHL. Production call flows + compliance layer.
Lint a voice-agent prompt against four safety blocks as hard gates — disclosure, no premature confirmation, barge-in, escalation — so a prompt that reads well but has no guardrails can't ship.
Prove the prompt you approved is the one actually running. Register approved versions, hash what's live, and catch the console-edited shadow prompt — IN SYNC / DRIFTED / UNKNOWN VERSION per agent.
Score each release against your own baseline on the voice behavior a text diff can't see — barge-in, latency, dead-air, escalation — and fail CI on a regression.
A voice-agent guardrail can fail in three places: it was never there, it got edited out in the console, or a release quietly changed the behavior around it. Three RedHub Systems close all three — Voice Prompt Forge (written), Prompt Version Vault (live), Canary Call Library (behaving). $169 versus $217 separately, plus a connective playbook. Deterministic, offline.
Your dashboard says the call was resolved — was it? Grade a batch of voice-agent call transcripts and catch the calls a human would call mishandled: the hallucinated balance, the angry caller who never got a handoff, the polite call that ended with the goal unmet. Mark six 0/1/2 signals per call — a craft MIN over task resolution, policy, handling, and tone sets the base, then a graduated trust gate over factual grounding and escalation correctness worsens it (a trust signal at 1 caps to SOFT-HANDLED, at 0 forces MISHANDLED). Per call RESOLVED / SOFT-HANDLED / MISHANDLED; the batch rolls up CLEAN RUN / SPOT-CHECK / MISHANDLING FOUND with a mishandle rate and the one call to review first. The post-launch QA layer beside the Voice Agent Deployment Kit (build) and the Go-Live Readiness Gate (pre-launch). Runnable Python engine + workbook + four Claude Skills + 729-combo verifier + 2 playbooks. Deterministic, offline; grades the conversation, never people.
Turn a week of call transcripts into per-call verdicts and a GHL field export. One deterministic pipeline — whole week, no LLM required.
Generate the warm-transfer briefing for a voice-agent escalation and grade its completeness. Reason and ask are essential — miss either and it's a context-less dump.
Reconcile booked appointments against what really happened and flag the phantoms — the confirmations a voice agent logged that never became real visits.
A text concierge for GoHighLevel that captures, qualifies, books, and hands off without inventing a policy. The Concierge Flow, qualification and booking scripts, grounded-answer rules, GHL workflow recipes, and a flow linter (Pass / Fix / Block). Discloses it is an AI; not legal advice.
Find the suppressed do-not-call numbers still sitting in your dialing lists, normalizing phone formats so a DNC contact can't hide behind a different spelling of the same number.
Resolve every queued call into the called party's local time and flag the ones that would fire outside the calling window — before the batch dials.
Catch PII spoken aloud in call transcripts — a card number read digit by digit — then re-scan the output for anything that survived. What document scanners miss.
Turn your retention policy into a dated purge schedule and flag what you're over-retaining — while never scheduling a class under legal hold. It schedules only; it deletes nothing.
Every call leaves a trail that carries three risks: you called someone you shouldn't have, you're holding a card number read aloud, or you're sitting on data you should have deleted. Three RedHub Systems cover the full life of call data — DNC Suppression Sweep, Spoken-PII Transcript Redactor, Retention Purge Scheduler. $179 versus $227 separately, plus a playbook. Deterministic, offline.
Every outbound call carries four compliance exposures that bite at different moments — wrong number, wrong time, kept PII, over-retained data. Four RedHub Systems close all four: DNC Suppression Sweep, Calling-Window Compliance Checker, Spoken-PII Transcript Redactor, Retention Purge Scheduler. $229 versus $296 separately, plus a connective playbook. Deterministic, offline.
Lint a voice-agent prompt against four safety blocks as hard gates — disclosure, no premature confirmation, barge-in, escalation — so a prompt that reads well but has no guardrails can't ship.
Prove the prompt you approved is the one actually running. Register approved versions, hash what's live, and catch the console-edited shadow prompt — IN SYNC / DRIFTED / UNKNOWN VERSION per agent.
Score each release against your own baseline on the voice behavior a text diff can't see — barge-in, latency, dead-air, escalation — and fail CI on a regression.
Turn a week of call transcripts into per-call verdicts and a GHL field export. One deterministic pipeline — whole week, no LLM required.
Generate the warm-transfer briefing for a voice-agent escalation and grade its completeness. Reason and ask are essential — miss either and it's a context-less dump.
Reconcile booked appointments against what really happened and flag the phantoms — the confirmations a voice agent logged that never became real visits.
Find the suppressed do-not-call numbers still sitting in your dialing lists, normalizing phone formats so a DNC contact can't hide behind a different spelling of the same number.
Resolve every queued call into the called party's local time and flag the ones that would fire outside the calling window — before the batch dials.
Catch PII spoken aloud in call transcripts — a card number read digit by digit — then re-scan the output for anything that survived. What document scanners miss.
Turn your retention policy into a dated purge schedule and flag what you're over-retaining — while never scheduling a class under legal hold. It schedules only; it deletes nothing.
Vapi · Retell · ElevenLabs · GHL. Production call flows + compliance layer.
Your dashboard says the call was resolved — was it? Grade a batch of voice-agent call transcripts and catch the calls a human would call mishandled: the hallucinated balance, the angry caller who never got a handoff, the polite call that ended with the goal unmet. Mark six 0/1/2 signals per call — a craft MIN over task resolution, policy, handling, and tone sets the base, then a graduated trust gate over factual grounding and escalation correctness worsens it (a trust signal at 1 caps to SOFT-HANDLED, at 0 forces MISHANDLED). Per call RESOLVED / SOFT-HANDLED / MISHANDLED; the batch rolls up CLEAN RUN / SPOT-CHECK / MISHANDLING FOUND with a mishandle rate and the one call to review first. The post-launch QA layer beside the Voice Agent Deployment Kit (build) and the Go-Live Readiness Gate (pre-launch). Runnable Python engine + workbook + four Claude Skills + 729-combo verifier + 2 playbooks. Deterministic, offline; grades the conversation, never people.
A text concierge for GoHighLevel that captures, qualifies, books, and hands off without inventing a policy. The Concierge Flow, qualification and booking scripts, grounded-answer rules, GHL workflow recipes, and a flow linter (Pass / Fix / Block). Discloses it is an AI; not legal advice.
A voice-agent guardrail can fail in three places: it was never there, it got edited out in the console, or a release quietly changed the behavior around it. Three RedHub Systems close all three — Voice Prompt Forge (written), Prompt Version Vault (live), Canary Call Library (behaving). $169 versus $217 separately, plus a connective playbook. Deterministic, offline.
Every call leaves a trail that carries three risks: you called someone you shouldn't have, you're holding a card number read aloud, or you're sitting on data you should have deleted. Three RedHub Systems cover the full life of call data — DNC Suppression Sweep, Spoken-PII Transcript Redactor, Retention Purge Scheduler. $179 versus $227 separately, plus a playbook. Deterministic, offline.
Every outbound call carries four compliance exposures that bite at different moments — wrong number, wrong time, kept PII, over-retained data. Four RedHub Systems close all four: DNC Suppression Sweep, Calling-Window Compliance Checker, Spoken-PII Transcript Redactor, Retention Purge Scheduler. $229 versus $296 separately, plus a connective playbook. Deterministic, offline.
The whole AI-voice-agent lifecycle under one honest standard: build, prove, and test the agent, run the live calls, and cover every call-data compliance exposure. All ten Voice Desk Systems, priced below sum-of-parts, plus the connective Voice Desk Playbook. $549 versus $800 separately. Deterministic, offline; every tool grades prompts, calls, and records — never a person.
