NamePo engineers scope, deliver, and document voice ai assistant integration with clear milestones, staging validation, and handover notes.
Voice AI assistant integration connects speech-to-text, reasoning, and text-to-speech into a flow users access by phone or browser microphone. We optimize for conversational latency, barge-in interruption, and clear handoff to human agents when confidence drops or callers request a person. Transcripts and recording consent follow your jurisdiction and policy, with documented limitations around accents, background noise, and languages outside the trained set.
1. Channel & latency planning
Telephony vs browser architecture chosen. Turn latency budget allocated across STT, LLM, and TTS segments with measurement points defined.
2. Speech pipeline integration
Audio streams transcribed in near-real-time, partial transcripts fed to dialog logic, responses synthesized with selected voice profile.
3. Dialog & handoff logic
Intents mapped to actions. Escalation triggers on low confidence, profanity policy, or explicit agent request tested on staging lines.
4. Consent, logging & production cutover
Recording disclosures verified with legal input. Transcripts stored per retention policy. Production number routed with monitoring dashboards live.
| Factor de decisión | Este enfoque | Alternativa habitual | Notas |
|---|---|---|---|
| Telephony vs browser scope | Architecture chosen against latency, cost, and user access patterns | Browser demo repurposed as phone IVR without redesign | Browser assumptions break on PSTN audio codecs and DTMF fallbacks. |
| Handoff quality | Transcript summary and intent passed to agent screen-pop | Blind transfer with no context | Callers repeat information, negating automation benefit. |
| Consent & transcripts | Region-specific disclosure scripts and retention TTL enforced | Record everything by default | Default recording creates compliance exposure in two-party consent states. |
| Latency engineering | Measured STT→LLM→TTS budget with streaming and barge-in | Wait-for-full-transcript batch processing | Batch processing feels like broken phone lines with long pauses. |
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