Voice AI agents that answer every call

AI agents that pick up the phone, run a real qualification interview, and pipe the result into your CRM — 24/7, in any language, with a voice that doesn't sound like 2018.

Missed calls are revenue leaks: the after-hours caller, the lunch-rush overflow, the lead who won't leave a voicemail. A voice agent answers in under two seconds, every time, and doesn't just chat — it runs a structured interview where every question maps to a business criterion, then hands a fully-populated record to your CRM and alerts the right human within seconds.

My LeadCounsel build shows the full pattern: an after-hours intake agent for personal-injury law firms on Vapi and n8n that qualifies motor-vehicle-accident leads through a deterministic decision gate, creates a prefilled HubSpot deal, and texts the on-call attorney within 60 seconds — with recording-consent disclosures for one- and two-party states, an emergency 911 check before anything else, and medical details kept out of SMS bodies by design.

The engineering is what separates a demo from a deployment: frozen payload contracts between the voice layer and the orchestration layer, idempotent webhooks so a retry can't double-create a deal, edge cases routed to human review instead of guessed at, and every call recorded and transcribed into storage you control.

What you get

  • Agent and interview design — question beats mapped to your qualification criteria
  • Voice agent build on Vapi or Retell, with ElevenLabs or native voices
  • Telephony setup: Twilio numbers, transfers, voicemail fallback
  • Orchestration layer (n8n) routing outcomes into your CRM
  • Deterministic qualification gates with human-review paths for edge cases
  • Compliance pieces: consent disclosures, recordings and transcripts retained, sensitive data kept out of notifications
  • Test-call suite and tuning pass before go-live

How an engagement runs

  1. Discovery and script design

    We define who calls, what qualifies them, and what the morning artifact must contain — then write the interview beats around those criteria.

  2. Freeze the contract

    The JSON payload between voice and orchestration is locked first, so both sides build in parallel against the same shape.

  3. Build voice + orchestration

    The Vapi/Retell agent and the n8n decision layer are built and tested separately with fixtures, then integrated.

  4. Live test calls, then launch

    Real calls against the full pipeline — including the unqualified and edge-case paths — before the number goes public. Then monitoring.

Proof, not promises

Common questions

How fast does it answer, and does it sound robotic?
Pickup is under two seconds, faster than any human receptionist, with sub-second conversational turn-taking on the modern Vapi/Retell stacks. Voices come from ElevenLabs or the platforms' native catalogs — callers regularly don't realize they're talking to an agent until it tells them.
What happens to callers who don't qualify?
They are never hung up on. The agent politely captures their details, sets expectations honestly, and logs the call as non-qualified — nothing is wasted, but no human time is spent. Ambiguous cases route to human review instead of being auto-rejected.
Is call recording legal?
It depends on consent law, which varies by state and country. I build the disclosure into the greeting with separate wordings for one-party and two-party consent jurisdictions, and recordings plus transcripts are retained in storage you control, for whatever window your compliance requires.
Which CRM can it feed?
Anything with an API — HubSpot is the proven v1 path in my builds, and the n8n orchestration layer makes Salesforce, Pipedrive, or legal-native tools like Filevine a connector swap rather than a rebuild.