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Technical

How to Connect Agni Voice AI with GoHighLevel CRM in India

Agni and GoHighLevel are already integrated. Every call outcome — disposition, transcript, sentiment — writes back to the GHL contact automatically. Here's the step-by-step setup.

AE
Agni EngineeringRavan.ai
28 June 2025  ·  7 min read
How to Connect Agni Voice AI with GoHighLevel CRM in India

GoHighLevel (GHL) is the CRM of choice for thousands of Indian agencies, consultants, and businesses — and Agni integrates natively with it. This guide covers the complete setup: connecting your Agni account to GHL, configuring outbound campaigns that trigger from GHL workflows, and mapping call outcomes back to GHL contact fields.

What the Integration Does

When Agni and GHL are connected:

  • A new contact in GHL can trigger an Agni outbound call automatically
  • When a GHL workflow fires (new lead, tag added, pipeline stage changed), Agni dials the contact
  • After the call, Agni writes back to the GHL contact: call disposition, call summary, sentiment score, and full transcript
  • The GHL contact's tags, pipeline stage, and custom fields update based on the call outcome
  • Follow-up workflows in GHL fire based on what happened on the call (booked a demo → move to "Demo Scheduled" stage)

Step 1: Connect Agni to GoHighLevel

  1. In your Agni dashboard, go to Integrations → GoHighLevel
  2. Click Connect and authorise Agni to access your GHL sub-account
  3. Select the GHL sub-account you want to connect (you can connect multiple)
  4. Agni will automatically import your GHL custom fields for call outcome mapping

Step 2: Create Your Agni Agent

In Agni, build the AI agent that will make the calls. Configure:

  • Voice and language: Pick from 28 Thunder Emotion voices; set primary language (Hindi, Hinglish, Tamil, etc.)
  • Script / persona: Define how the agent introduces itself, what it's calling about, and the key qualification or action questions
  • Outcome labels: Define the dispositions the agent should classify calls as — "Interested", "Callback Requested", "Not Interested", "No Answer", "Wrong Number"

Step 3: Configure the GHL Workflow Trigger

In GoHighLevel:

  1. Go to Automation → Workflows and create a new workflow
  2. Set the trigger — common triggers: "Contact Created", "Tag Added", "Form Submitted", "Pipeline Stage Changed"
  3. Add a Custom Webhook action and paste the Agni campaign webhook URL (found in your Agni campaign settings)
  4. Map the GHL contact fields to the Agni webhook payload: name, phone, email, any custom data you want the agent to reference

Step 4: Map Call Outcomes Back to GHL

In Agni, configure the post-call webhook to write back to GHL:

  • Call disposition → GHL tag: "Interested" disposition adds tag "Interested - AI Call"; "No Answer" adds "No Answer - Retry"
  • Call summary → GHL contact note: The AI-generated summary of the call appears as a note in the GHL contact timeline
  • Sentiment → GHL custom field: Maps to a custom field you've created (e.g., "AI Call Sentiment")
  • Pipeline stage update: "Booked Demo" outcome moves contact to "Demo Scheduled" stage automatically

Step 5: Set Up Follow-Up Workflows

In GHL, create workflows triggered by the tags or custom field values Agni writes back:

  • Tag "Interested - AI Call" → enrol in email nurture sequence + notify sales rep
  • Tag "No Answer - Retry" → wait 4 hours → trigger another Agni call
  • Tag "Callback Requested" → create GHL task assigned to sales rep with the call transcript link
  • Tag "Demo Booked" → send GHL confirmation email and SMS

Common Questions

Can I use this with GHL's built-in phone system?
Agni operates separately from GHL's LC Phone — Agni uses your connected telephony provider (Twilio, Airtel, or your own SIP). The GHL integration is purely for CRM data sync, not call routing through GHL's phone system.

Can I trigger calls from GHL Smart Lists?
Yes — export a Smart List as a CSV and upload it as an Agni campaign, or use a workflow to tag contacts and trigger the webhook per contact.

How many calls can run simultaneously?
Concurrent calls depend on your Agni plan and your telephony provider's channel limits. Growth plan supports up to 500 concurrent calls; Scale supports 2,000+.

Full API documentation is available at docs.ravan.ai. Book a demo to see the GHL integration running live with your account.

Frequently asked questions

How do I connect Agni voice AI with GoHighLevel CRM?
Agni is natively integrated with GoHighLevel, so setup takes minutes: connect your GHL account, map the pipeline and contact fields you want updated, and trigger calls directly from GHL workflows. Every call outcome then writes back automatically. No custom middleware or developer work is required, and it works with any GHL sub-account.
What call data does Agni write back to GoHighLevel automatically?
After each call, Agni writes the disposition, full transcript, sentiment score, and a structured post-call summary back to the GHL contact record. It can also update pipeline stages, add tags, and trigger follow-up workflows based on the outcome. This keeps your CRM current in real time without any manual note-taking.
Can Agni trigger GoHighLevel calls automatically from a workflow?
Yes. You can trigger Agni calls from any GHL workflow event, such as a new lead form submission, a pipeline stage change, or an appointment booking. Agni calls the contact within seconds in Hindi, Hinglish, or 30+ Indian languages, then writes the result back to fire the next workflow step. This enables fully automated speed-to-lead calling.
Do I need a developer to integrate Agni with GoHighLevel?
No. Agni's GoHighLevel integration is no-code, using field mapping and native workflow triggers rather than custom API work. A non-technical marketer or ops person can connect the accounts and go live the same day. A REST API is available if you want deeper custom automation beyond the standard integration.
Why use Agni with GoHighLevel instead of a US-based voice AI?
Agni combines native GHL integration with India-first advantages that US platforms lack: 30+ Indian languages, Hinglish-native calling, sub-300ms latency, DPDP and TRAI compliance, and an all-in ₹2/min rate. US voice AI plugged into GHL adds latency, currency conversion cost, and a compliance gap for Indian data. For Indian agencies and businesses running GHL, Agni removes those risks while keeping the same workflow automation.
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