Voice AI Agent Consulting
Production voice agents that qualify inbound calls and resolve support intents — under a latency budget, with disclosure, CRM writes, and a warm human transfer.
- Service
- Conversational AI
- Industry
- Enterprise
- Updated
- 2026-08-25
- Engagement
- 4 wks
Voice AI agent consulting designs, builds, and hands over production inbound agents for lead qualification and support: streaming speech-to-text and text-to-speech, a dialogue core that fills a schema and calls scoped tools, barge-in, CRM or helpdesk writes after shadow mode, and warm transfer to a human. A standard engagement is four weeks in your telephony and cloud perimeter, and you own the path, eval suite, and runbook.
Why teams pick this engagement
Conversational AI × EnterpriseLatency before clever dialogue
A brilliant agent that answers in three seconds loses to a decent one that answers in one. We fix the audio path and turn budget first; quality tuning comes after calls feel like conversation.
Schema, not a rigid script
Callers answer two questions at once. The agent fills a structured lead or ticket object opportunistically and uses scoped tools — CRM write, slot booking, order lookup — rather than marching a flowchart.
Disclosure, consent, recording rules
AI disclosure, consent, and do-not-call checks are in the path, not a slide. Recording and retention follow your legal sign-off. Work stays in your telephony and cloud perimeter.
Human fallback is a warm transfer
Hot leads and out-of-policy support cases transfer to a person with a whispered briefing and the structured object. The caller does not restart. Low-confidence is a designed queue.
Shadow on live calls, then writes
Week three scores the agent against real inbound audio and your qualification or resolution rubric. CRM writes and tickets open after that sample holds.
You own the voice path
Prompts, schemas, eval suite, telephony config, and runbooks are yours. Model-agnostic STT/LLM/TTS. You pay providers directly — no token markup.
Key takeaways
- 01
Production voice is a latency problem first. Fix the audio path and turn budget before tuning the model’s personality.
- 02
Define a structured object (BANT fields, ticket fields) and let the model fill it. Rigid call scripts collapse the moment a caller answers two questions at once.
- 03
Agents act with scoped tools — CRM write, order lookup, slot booking — after shadow mode on live calls. Write access is a permission change.
- 04
Human fallback is a warm transfer with a briefing, not “press 0 and start over.” Identity, legal, and out-of-policy intents skip the agent.
- 05
You own prompts, schemas, evals, and telephony config. Work stays in your perimeter. Inference and speech APIs are billed by your providers with no token markup from us.
What the engagement covers
How we work
- 01
Discover
Week one: inbound job, schema, latency budget, legal constraints, systems.
- 02
Design
Voice path, tool scopes, transfer rules, eval plan, disclosure in the flow.
- 03
Build
Telephony, STT/LLM/TTS, tools, and traces in your accounts with weekly call demos.
- 04
Validate
Shadow mode on live inbound; CRM writes stay off until quality holds.
- 05
Enable
Handover of path, evals, and runbooks; 30 days on-call included.
Take the playbook with you
The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.
Voice Agent Latency Budget Worksheet
STT, LLM first token, TTS, and telephony hop — the numbers that have to add up to a conversational turn, with typical failure points marked.
Get the worksheet ·Inbound Voice Compliance Starter
Disclosure language, consent, recording retention, and do-not-call checks to take to legal before week two environments. Not legal advice — a working list.
Get the starter ·