ElevenLabs Details AI Voice Agent Integrations for Salesforce, HubSpot, and Zendesk

ElevenLabs outlines how ElevenAgents integrates with core business software to enable AI voice agents to read and write data during live calls. By connecting to platforms like Salesforce, HubSpot, Zendesk, Freshdesk, Intercom, ServiceNow, and Jira Cloud, agents can resolve customer queries up to 10 times faster than traditional support methods. These integrations allow agents to verify caller identity, fetch account context, and update records automatically, reducing the need for manual data entry and human escalation.

Integration Capabilities by Platform

The article categorizes integrations into three main areas: CRM, help desk, and ITSM.

• CRM (Salesforce, HubSpot): Agents can search records, retrieve details to verify identity, and create new leads or contacts mid-call. Salesforce supports case comment triggers for automated follow-ups, while HubSpot allows updating contact details and creating sales deals.
• Help Desk (Zendesk, Freshdesk, Intercom): These platforms focus on ticket resolution. Shared capabilities include caller identification, mid-call search, transcript logging, and automatic ticket creation/closing. Unique features include Zendesk's bulk ticket operations, Intercom's conversation lifecycle management, and Freshdesk's automated background rule setup via webhooks.
• ITSM (ServiceNow, Jira Cloud): These tools handle internal IT support. ServiceNow agents search knowledge bases and create incidents with priority levels. Jira Cloud agents manage issue transitions and link related tickets but do not search knowledge bases.

Implementation and Workflow

Integrations are established through native connectors or custom webhook tools. The setup process involves five steps: authenticating via OAuth2 or Basic Auth, selecting the tool type (webhook, client, or code), mapping fields, testing the call, and deploying to production. Post-call webhooks can automatically send transcripts and summaries to the CRM after the conversation ends.

Practical Application

A typical refund call demonstrates the workflow: the agent identifies the caller via CRM records, reads the refund status, updates the ticket with actions taken, and sends a summary via webhook after the call. This two-way data flow ensures that agents have real-time context and that all interactions are logged without manual intervention.