Completions

Done-for-you offer · Fractional CMO with AI Swarm · voice AI receptionist

Done-for-you voice AI receptionist for multi-unit franchise, multi-location service brand, multi-location specialty retail, and regulated-vertical operators in service-trade, healthcare, beauty, fitness, and home-services verticals — a 3-skill voice-AI-receptionist + intent-classification + routing- decisioning bundle on the lost-call-recovery agent.

The descriptive industry pattern for multi-location service operators: each location receives 1,000-100,000 inbound calls per year, with a meaningful share landing off-hours, all- agents-busy, or routed into voicemail. Voice-AI receptionist platforms ship strong building blocks — streaming-ASR, streaming-TTS, dialogue-manager LLMs, sub-second-latency turn-taking, interruption handling, accent adaptation, multi-language — but require operator-side orchestration: per-vertical script libraries, intent classification across 25+ categories, routing-decisioning across 8 dispositions, and closed-loop feedback to CRM creation and auto-text SMS followup. Deepgram, AssemblyAI, Google Cloud Speech, AWS Transcribe, Azure Speech, Speechmatics, Rev.ai, OpenAI Whisper, Vapi, Retell AI, Bland AI, Synthflow, AirAI, Hyperbound, Goodcall, Air, Phonely, ElevenLabs, PlayHT, Cartesia, Resemble, Lovo, Speechify, Murf, Hume, Sesame, Inworld, and Replica ship strong primitives. GPT-5, Claude Opus 4.7, Gemini Ultra, Llama 405B Instruct, Mistral Large, and Cohere Command-R-Plus ship strong dialogue-manager LLM primitives. The 3-skill voice- AI receptionist orchestration layer — voice-AI receptionist with per-vertical scripts and the 17-framework compliance overlay, intent-classification with confidence tiers and disambiguation, routing-decisioning across 8 dispositions with per-vertical compliance validation, and closed-loop feedback into the operator CRM creation and auto-text SMS followup skills — is operator-side architecture. Completions builds and operates the 3-skill bundle on the lost-call-recovery agent. Operator owns every artifact and can in-house at any time.

Published September 24, 2026

What we operate every call

Per-location per-caller voice AI receptionist across 50 -1,500 locations × 1,000-100,000 calls per year × streaming -ASR (Deepgram + AssemblyAI + Google Cloud Speech + AWS Transcribe + Azure Speech + Speechmatics + Rev.ai + OpenAI Whisper + Vapi + Retell AI + Bland AI + Synthflow + AirAI + Hyperbound + Goodcall + Air + Phonely) + streaming-LLM dialogue manager (GPT-5 + Claude Opus 4.7 + Gemini Ultra + Llama-405B-Instruct + Mistral-Large + Cohere-Command-R -Plus) + streaming-TTS (ElevenLabs + PlayHT + Cartesia + Resemble + Lovo + Speechify + Murf + Hume + Sesame + Inworld + Sevit + Replica + Hume Octave + Hume EVI) + sub -500ms-latency dialogue + interruption-handling + back -channeling + disfluency-handling + ambient-noise -suppression + accent-adaptation + multi-language + per -vertical greeting + script + disclosure + compliance -footer.

Per-call intent-classification across 25+ caller-intent categories (appointment-booking + quote-request + price -inquiry + service-question + product-question + hours -question + location-question + directions-question + menu -question + availability-question + refund-request + complaint + compliment + emergency + wrong-number + spam + solicitor + vendor + partner + media-inquiry + regulatory + legal-counsel-request + insurance-inquiry + HR-inquiry + PR-inquiry) with per-intent confidence-tier + explainability + disambiguation.

Per-call routing-decisioning across 8 routing-decisions (auto-resolve-by-voice-AI + transfer-to-human-CSR + schedule-callback + transfer-to-CSR-supervisor + escalate -to-counsel + escalate-to-brand-officer + auto-disconnect + auto-DNC-flag) with per-route per-vertical compliance -validation + SLA + escalation-path + audit-trail-emission.

Per-call closed-loop feedback emits per-call post-call actual-resolution + engagement + conversion + revenue + margin + callback-needed + CSR-touched + recovered into loop 48 (CRM creation - Capture half) + loop 63 (auto-text SMS followup - Recover half) with per-call Bayesian -updating + counterfactual-validation + propensity-score -matching + experimental-design treatment-assignment -protocol.

🎯 2nd 3-skill bundle on lost-call-recovery (loops 48+63 +69 — extends prior 2-skill Capture+Recover pair to 3 -skill triple). 🎯 2nd I/O Pipeline triple Prevent+Capture +Recover (voice-AI PREVENTS + CRM CAPTURES + SMS RECOVERS). Per-vertical compliance overlay (HIPAA + FDA + DEA + DISCUS + FDA tobacco + state-licensing-board + FTC + TCPA + 12-state two-party-consent + Federal/state Wiretap + GDPR + CCPA + PCI DSS DTMF-redaction + ADA + COPPA + EU AI Act Article 50 AI-disclosure). Per-call audit-trail with WORM-storage.

Why in-house breaks at multi-location lost-call-recovery scale

Per-location per-caller voice AI receptionist across 50 -1,500 locations × 1,000-100,000 calls/year × streaming -ASR + LLM + TTS pipeline + sub-500ms-latency dialogue + 17+ per-call quality dimensions requires production voice -AI infrastructure. Per-call intent-classification across 25+ categories requires production ML infrastructure. Per -call routing-decisioning across 8 decisions requires production routing infrastructure. Per-call closed-loop feedback requires data-science capacity. 2nd 3-skill bundle on lost-call-recovery + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture coordination requires orchestration capacity. Per-vertical compliance overlay covering 17+ regulatory frameworks requires legal -engineering capacity. Per-voice-AI-platform connector maintenance requires vendor-coordination capacity.

Completions absorbs all seven axes under one Tier 3 Fractional CMO with AI Swarm engagement.

How the engagement progresses

Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic). Audits the current operation across seven axes. Deliverable: gap-pack report with per-location answer-rate exposure estimate + per-location per-vertical compliance-exposure estimate.

Tier 2 AI Swarm Setup Sprint (4-8 weeks, build with 30-day operating tail). Builds the voice AI receptionist stack on operator infrastructure — voice -ai-receptionist + per-location-per-caller-voice-ai -receptionist + per-call-intent-classification + per-call -routing-decisioning + per-call-closed-loop-feedback on lost-call-recovery agent + crm-record-creation-lost-call + auto-text-sms-followup — completing the 2nd 3-skill bundle on lost-call-recovery + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture.

Tier 3 Fractional CMO with AI Swarm ( month, 6-month minimum, 1-2 days/wk embedded). Continues operating the bundle with continuous per-location per -caller voice AI receptionist + per-event per-call intent -classification + per-event per-call routing-decisioning + per-event per-call closed-loop feedback to loops 48+63 + per-event 2nd 3-skill bundle + 2nd I/O Pipeline triple architecture coordination + cross-agent swarm coordination.

Frequently asked

What does the done-for-you voice AI receptionist bundle actually deliver?

Completions builds and operates a 3-skill bundle on the lost-call-recovery agent: (1) Voice-AI Receptionist runs streaming-ASR + LLM dialogue manager + streaming-TTS with sub-second-latency dialogue, interruption handling, back-channeling, disfluency handling, ambient-noise suppression, accent adaptation, multi-language, and per-vertical greeting, script, disclosure, and compliance-footer. (2) Intent-Classification scores each call against 25+ caller-intent categories (appointment-booking, quote-request, price-inquiry, service-question, product-question, hours-question, location-question, directions-question, menu-question, availability-question, refund-request, complaint, compliment, emergency, wrong-number, spam, solicitor, vendor, partner, media-inquiry, regulatory, legal-counsel-request, insurance-inquiry, HR-inquiry, PR-inquiry) with confidence tiers, explainability, and disambiguation. (3) Routing-Decisioning routes the call across 8 dispositions (auto-resolve by voice-AI, transfer to human CSR, schedule callback, transfer to CSR supervisor, escalate to counsel, escalate to brand officer, auto-disconnect, auto-DNC flag) with per-vertical compliance validation, SLA, escalation path, and audit-trail emission. Closed-loop feedback emits post-call outcomes (resolution, engagement, conversion, revenue, margin, callback needed, CSR touched, recovered) into the operator CRM creation skill and the operator auto-text SMS followup skill with Bayesian updating, counterfactual validation, and propensity-score matching. The 3-skill bundle sits above the operator voice-AI stack (Deepgram, AssemblyAI, Google Cloud Speech, AWS Transcribe, Azure Speech, Speechmatics, Rev.ai, OpenAI Whisper, Vapi, Retell AI, Bland AI, Synthflow, AirAI, Hyperbound, Goodcall, Air, Phonely, ElevenLabs, PlayHT, Cartesia, Resemble, Lovo, Speechify, Murf, Hume, Sesame, Inworld, Replica, and the dialogue-manager LLM family: GPT-5, Claude Opus 4.7, Gemini Ultra, Llama 405B Instruct, Mistral Large, Cohere Command-R-Plus). Compliance overlay covers HIPAA, FDA OPDP, DEA, DISCUS, FDA tobacco, state-licensing-board, FTC, TCPA recording-disclosure, 12-state two-party-consent recording, Federal Wiretap Act, state Wiretap Acts, GDPR, CCPA, PCI DSS DTMF-redaction, ADA Title III accessible voice-AI, COPPA, and EU AI Act Article 50 AI-disclosure. Operator owns 100% of the artifacts: voice-AI receptionist config, per-vertical script library, intent-classification model, routing-decisioning config, closed-loop feedback config, per-voice-AI-platform credentials under operator billing, attorney-approved per-vertical compliance overlay, prompts, and the audit trail with WORM storage. Completions owns the orchestration knowledge. Operator can in-house at any time.

Why is multi-location voice AI receptionist orchestration typically operator-side rather than voice-AI-platform-vendor-shipped?

Deepgram, AssemblyAI, Google Cloud Speech, AWS Transcribe, Azure Speech, Speechmatics, Rev.ai, and OpenAI Whisper ship strong streaming-ASR primitives. Vapi, Retell AI, Bland AI, Synthflow, AirAI, Hyperbound, Goodcall, Air, and Phonely ship strong voice-AI platform primitives with built-in turn-taking and dialogue management. ElevenLabs, PlayHT, Cartesia, Resemble, Lovo, Speechify, Murf, Hume, Sesame, Inworld, and Replica ship strong streaming-TTS primitives. GPT-5, Claude Opus 4.7, Gemini Ultra, Llama 405B Instruct, Mistral Large, and Cohere Command-R-Plus ship strong dialogue-manager LLM primitives. The 3 engineering surfaces of a multi-location voice-AI receptionist orchestration layer typically sit operator-side rather than vendor-shipped: (1) Voice-AI Receptionist binds to the operator-specific per-vertical script library (HVAC vs. dental vs. salon greetings and disclosures differ materially) and to the operator brand-voice spec; (2) Intent-Classification across 25+ categories depends on the operator-specific service catalog, location attributes, and what counts as an emergency vs. standard service request inside the operator vertical; (3) Routing-Decisioning across 8 dispositions binds to the operator-specific CSR roster, supervisor escalation paths, counsel escalation paths, and DNC discipline. The 17-framework compliance overlay (HIPAA + FDA + DEA + DISCUS + FDA tobacco + state-licensing-board + FTC + TCPA recording-disclosure + 12-state two-party-consent + Federal/state Wiretap + GDPR + CCPA + PCI DSS DTMF-redaction + ADA + COPPA + EU AI Act Article 50 AI-disclosure) requires attorney-approved per-vertical rules that vendors cannot maintain on behalf of operators across regulated verticals. Completions builds and operates this orchestration layer above the operator voice-AI vendor stack.

What does the engagement look like across Tier 1 → Tier 2 → Tier 3?

Tier 1 AI Readiness Assessment (2-3 weeks, diagnostic): Completions audits the operator current voice AI receptionist operation across seven axes — per-location per-caller voice AI receptionist coverage + per-call intent-classification maturity + per-call routing-decisioning + per-call closed-loop feedback to loops 48+63 + 2nd 3-skill bundle on lost-call-recovery architecture + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture + per-voice-AI-platform connector maintenance. Deliverable: gap-pack report with per-location answer-rate exposure estimate + per-location per-vertical compliance-exposure estimate. Tier 2 AI Swarm Setup Sprint (4-8 weeks, build with 30-day operating tail): Completions builds the voice AI receptionist stack on operator infrastructure — voice-ai-receptionist + per-location-per-caller-voice-ai-receptionist + per-call-intent-classification + per-call-routing-decisioning + per-call-closed-loop-feedback on lost-call-recovery agent + crm-record-creation-lost-call + auto-text-sms-followup on lost-call-recovery agent — completing the 2nd 3-skill bundle on lost-call-recovery + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture. Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded): Completions continues operating the bundle with continuous per-location per-caller voice AI receptionist + per-event per-call intent-classification + per-event per-call routing-decisioning + per-event per-call closed-loop feedback to loops 48+63 + per-event 2nd 3-skill bundle on lost-call-recovery architecture + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture coordination + cross-agent swarm coordination.

Who owns the voice-AI receptionist config, per-vertical script library, intent-classification model, and audit trail?

Operator owns 100% of every artifact: voice-AI receptionist config (in operator data infrastructure — Snowflake + Databricks + BigQuery + Redshift + Postgres operator data warehouse), per-vertical script library (in operator repo with operator-controlled per-vertical greeting + script + disclosure + compliance-footer versioning + operator-marketing-team-aligned + operator-counsel-aligned), per-call intent-classification model code (in operator repo with operator-controlled deploy pipeline + operator-data-science-team-aligned + operator-CS-team-aligned), per-call routing-decisioning config (operator-owned + operator-CS-team-aligned + operator-counsel-aligned), per-call closed-loop feedback model code (operator-owned + operator-data-science-team-aligned), per-voice-AI-platform credentials (Deepgram + AssemblyAI + Google Cloud Speech + AWS Transcribe + Azure Speech + Speechmatics + Rev.ai + OpenAI Whisper + Vapi + Retell AI + Bland AI + Synthflow + AirAI + Hyperbound + Goodcall + Air + Phonely + ElevenLabs + PlayHT + Cartesia + Resemble + Lovo + Speechify + Murf + Hume + Sesame + Inworld + Sevit + Replica + Hume Octave + Hume EVI under operator billing + operator credentials), per-vertical compliance overlay (rule library in operator repo with attorney-approved updates), HIPAA + FDA OPDP + DEA + DISCUS + FDA tobacco + state-licensing-board + FTC + TCPA recording-disclosure + 12-state two-party-consent + Federal Wiretap + state Wiretap + GDPR + CCPA + PCI DSS DTMF-redaction + ADA + COPPA + EU AI Act Article 50 AI-disclosure disclosure register (operator-owned + operator-counsel-maintained), brand spec (versioned in operator repo), LLM prompts (in operator repo), audit trail (retention infrastructure on operator cloud account with WORM-storage). Completions owns: the orchestration knowledge — how to design per-location per-caller voice AI receptionist contracts + how to tune per-call intent-classification + how to debug per-call routing-decisioning cascades + how to coordinate the 2nd 3-skill bundle on lost-call-recovery architecture + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture with crm-record-creation-lost-call + auto-text-sms-followup siblings on lost-call-recovery agent. The operator can in-house at any time; Completions credentials revoke immediately on engagement-end.

What does Completions commit to on a Tier 3 engagement?

Completions commits to a 3-workstream pre-engagement-baseline reporting cycle on the lost-call-recovery agent, with firm process commitments and explicit caveats on outcome-dependent metrics. (1) Voice-AI Receptionist workstream — pre-engagement baseline of which locations have voice-AI coverage today, at what hours, with what per-vertical script discipline, and at what observed dialogue latency, then weekly reporting on coverage trajectory, per-vertical script versioning, observed dialogue latency distribution, and disfluency / interruption / accent / noise handling outcomes. (2) Intent-Classification workstream — pre-engagement baseline of which intent categories are surfaced today, then weekly reporting on intent-classification coverage across the 25+ categories and observed precision against an operator-labeled validation sample. (3) Routing-Decisioning workstream — pre-engagement baseline of how calls are currently routed and what the CSR/supervisor/counsel escalation paths look like, then weekly reporting on routing-decision distribution across the 8 dispositions and observed SLA adherence against the operator handler roster. Caveats: answer-rate, lost-call-recovery, and conversion outcomes depend on operator-side CSR staffing, after-hours policy, escalation-handler availability, per-vertical script quality, and customer-service workflow, all outside Completions control; voice-AI platform behavior is governed by vendor policy and APIs change periodically — connector maintenance is part of the process commitments; per-vertical compliance overlay coverage (HIPAA + FDA + DEA + DISCUS + FDA tobacco + state-licensing-board + FTC + TCPA + Wiretap + GDPR + CCPA + PCI DSS DTMF-redaction + ADA + COPPA + EU AI Act Article 50) is operator-counsel-approved and re-reviewed when statutes or platform policies change; the audit trail persists to operator-owned WORM storage on the operator cloud account.

How does engagement end and what is the operator transition path?

Tier 3 engagements are 6-month minimum with 90-day notice. At engagement end, Completions transitions the voice AI receptionist operation back to operator in-house in 30-60 days: operating-playbook hand-off + in-house staff training across 3-5 operator team members covering per-location per-caller voice AI receptionist + per-call intent-classification + per-call routing-decisioning + per-call closed-loop feedback to loops 48+63 + 2nd 3-skill bundle on lost-call-recovery architecture + 2nd I/O Pipeline triple Prevent+Capture+Recover architecture coordination + per-vertical compliance overlay management + per-voice-AI-platform connector maintenance + cross-agent coordination + voice-AI receptionist config infrastructure hand-off + per-vertical script library hand-off + per-call intent-classification model code hand-off + per-call routing-decisioning config hand-off + per-call closed-loop feedback model code hand-off + per-voice-AI-platform credentials hand-off + LLM prompts hand-off + audit trail hand-off with WORM-storage operator-account-ownership confirmation; Completions credentials revoke immediately on engagement-end. Operator can re-engage Completions at any time on Tier 1 or Tier 2 cadence.

Engage Completions

Start with the AI Readiness Assessment (Tier 1, 2-3 weeks). Hand off to Tier 2 (4-8 weeks) for the build. Continue under Tier 3 Fractional CMO with AI Swarm (6-month minimum, 1-2 days/wk embedded). Operator owns every artifact at every tier. Operator can in-house at any time.

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