Ottomate
ServicesIndustriesResultsPricingFAQBlog
Book a free audit
ServicesIndustriesResultsPricingFAQBlogBook a free audit
Ottomate

AI & automation that saves businesses time and money — built to run itself.

Explore

  • Services
  • Industries
  • Results
  • Automations
  • Pricing
  • FAQ
  • Blog

Elsewhere

  • LinkedIn
  • Email
  • WhatsApp

© 2026 Ottomate. All rights reserved.

PrivacyLegal noticeBack to top
en
All results
Conversational AI · Outbound automation2026

AI Voice Calling Assistant

A fully autonomous outbound-calling pipeline: it reads your contacts, places real AI voice calls, analyses every conversation, logs it, and updates the CRM — with no human in the loop.

$3k/mo
in calling time saved
100%
calls logged & analysed
24/7
unattended outreach

Step by step, in pictures

See the automation in action — these are demonstration captures of the working project, so you know exactly what you'd get.

  1. 1

    The workflow

    1 / 3
    The workflow

    A finished call → AI analysis of the transcript → logging and a follow-up notification.

  2. 2

    The call analysis

    2 / 3
    The call analysis

    The AI extracts the outcome, sentiment, a summary and the recommended next action.

  3. 3

    The follow-up notification

    3 / 3
    The follow-up notification

    The business is notified whenever a call-back is needed — nothing slips through.

How it works

TriggerContact list
ProcessSkip already-called
ProcessAI voice call
AITranscript analysis
OutputLog + CRM update

The problem

Outbound calling — lead qualification, follow-ups, reminders — eats hours of repetitive dialing. Many calls go unanswered, reps forget to log outcomes, and CRM updates slip, so follow-ups are missed and the pipeline leaks.

The approach

  1. 1

    A scheduled n8n workflow reads the contact list (Google Sheets) and loops through every contact, automatically skipping anyone already called — idempotent, so re-runs never double-dial.

  2. 2

    For each contact it places a real outbound phone call through a voice-AI agent (Vapi) that holds a natural conversation toward a defined goal.

  3. 3

    A wait step holds execution until the call ends, then the full transcript and metadata are pulled back via API.

  4. 4

    An LLM analyses each transcript and extracts a structured result — outcome (interested / no-answer / voicemail / callback), sentiment, a summary, and the recommended next action.

  5. 5

    Every call is logged to a database (Supabase) with transcript and analysis, the contact's status is auto-updated to 'Called', and the loop advances to the next contact — fully unattended.

Highlights

  • Fully autonomous: reads contacts, calls, analyses, logs, updates the CRM, repeats — no human, no missed follow-ups.
  • Idempotent by design: already-called contacts are skipped, so it's safe to re-run anytime.
  • Structured, queryable outcomes (outcome + sentiment + next action) instead of unwritten call notes.

Built with

n8nVapi (Voice AI)LLMSupabaseGoogle SheetsWebhooks

Want the same for your business?

Let's find where automation pays off fastest for you.

Book a free audit
Next result
WhatsApp AI Assistant (Productized)