AI voice agent integrations let your agents pull up customer records during a call and answer with real context. With that information, agents resolve queries up to 10 times faster than traditional support methods like scripted chatbots or rigid phone trees.

Modern conversational AI achieves this by removing friction between reading and updating account details during conversation. It eliminates manual data entry from your workflow while delivering personalized answers around the clock.

AI agents can also trigger workflow automations across your existing tech stack to handle things like logging tickets or updating contact details. Operations leaders deploy these automated workflows to maintain high service levels while significantly lowering the cost per resolution.

This guide shows you how to connect AI voice agents to your core software and choose the right integrations for your tech stack.

Summary

Customer support teams use voice agents to speed up resolution times and eliminate manual data entry during calls.
Conversational AI workflows create tickets and log call history automatically when connected to help desk software.
Custom webhook tools record updates mid-call, while post-call webhooks trigger workflow automation after the call ends to eliminate manual record updates.
Voice agents need system access to verify caller account details and deliver personalized responses to customer queries.
Integrating service management software enables automated tools to resolve internal IT requests across connected systems.

Why CRM and help desk integration matter for AI voice agents

If customer support teams choose to restrict access to customer records, the end result is that the AI model will only be able to answer general questions. This is no more helpful than reciting FAQ answers from a website to customers, and it fails to capitalize on the full capabilities of conversational AI.

Successful voice agent integrations require data flow in two directions:

Read data: Agents read data mid-call, allowing them to fetch contexts in real-time from customer records. They use this to verify the caller’s identity and give customer-specific responses.
Write data: Agents write outcomes back to your database so that there’s a record of how each ticket was resolved and the status of that ticket.

Deploying ElevenAgents across both integration directions connects live phone conversations directly to the core software. This setup unleashes the full capability of your conversational AI system so that it can optimize your workflow via the two main benefits discussed below.

More helpful responses

Models excel at answering questions about how to set up a service or even troubleshoot some common issues. However, a model without system access stumbles when asked questions about the customer’s account, such as the balance due on their bill or the status of a refund.

With live context, an agent can use the actual system of record to personalize responses, confirm account-specific details, and resolve issues without escalating to a human.

Reduced customer friction

It’s a well-known fact that customers hate unnecessary transfers and the possibility of re-explaining their problem to a whole new person. In fact, Forbes found that 76% of customers don’t return to a company because they felt it wasted their time with issues like long wait times, multiple transfers, and repeating their issues to customer service agents.

Capable AI models preserve context, but it may take human agents some time to review all the information and respond. Consequently, reducing the need for human escalations also lowers the risk of customer frustration.

Connecting a voice agent to Salesforce

Connecting ElevenAgents to Salesforce CRM gives your conversational AI system access to read and write CRM data during live calls. This real-time access reduces the need to look up things manually and equips your customer service team with the full context needed.

Mid-call CRM capabilities

When connected to Salesforce, conversational AI reduces repetitive work and improves customer experience via the following capabilities:

Search records: Finding information like contacts, leads, accounts, and sales opportunities by running simple SOQL
Retrieve details: Verifying the caller’s identity to qualify leads and provide answers tailored to their needs and account details by pulling complete record details
Create records: Generating new leads, creating contacts, and opening sales opportunities inside the CRM

Follow-up capabilities

When you turn on the Salesforce Case Comment trigger, agents respond to new updates and send email replies directly to customers. This real-time automation eliminates the need for human workers to manually send follow-up emails, or worse, for callers to find out they have updates to their case only after calling back or logging back into the support platform.

For more details on setting up this connection, read our ElevenAgents Salesforce integration page.

Connecting a voice agent to HubSpot

Connecting ElevenAgents to HubSpot leads to similar capabilities as Salesforce. Your conversational AI agent can take direct action mid-call while speaking with customers and handle ticket and workflow automation.

Mid-call CRM capabilities

When connected to HubSpot, your agent can handle the following tasks during calls with customers:

Search contacts: Similar to Salesforce, it can look up existing contact information and deals using email addresses or phone numbers.
Fetch history: Agents use contact IDs to pull previous interaction logs from the system and analyze updates and notes so that they can accurately answer questions.
Update records: Agents can modify contact and organization details, update records, and create new sales deals.

Follow-up capabilities

Agents integrated with HubSpot also open follow-up tickets during or after calls, and review prior interaction with customers. These steps automate the marketing and sales workflow and maintain accurate records.

For more details on how to set up this integration, read through the ElevenAgents HubSpot integration page.

Connecting a voice agent to help desk platforms (Zendesk, Freshdesk, Intercom)

Integrating your voice system with platforms like Zendesk, Intercom, and Freshdesk turns phone calls into updated support tickets and logged conversation histories. While CRM platforms focus on sales and marketing, help desk tools solve user problems. Both prioritize customer experience, but help desk tools shift the goal from conversions to resolutions.

While there are some overlaps, each platform also offers unique voice agent integration capabilities.

Zendesk uniquely supports processing file attachments on incoming comments and running bulk ticket operations. Meanwhile, Intercom stands out for allowing agents to manage conversation lifecycles directly while also scoping triggers to specific team inbox IDs. Finally, only Freshdesk connections currently automate the background rule setup via webhooks with no manual admin configuration required. Intercom and Zendesk require a manual trigger rule for this.

Here are the areas where they overlap:

Caller identification: ElevenAgents matches callers to contact files and looks for existing support requests.
Mid-call search: AI agents search past support tickets, conversations, and account interactions to get the full caller context during the call.
Transcript logging: Agents document the transcript for full transparency, so human and AI agents have the full context when following up on escalated issues.
Automatic ticket creation: Conversational AI models create support tickets with detailed comments explaining the issue and the actions taken toward resolving it.
Automatic ticket closing: Agents update ticket statuses and close support threads after resolving issues.
Updates: Agents update ticket priorities and automatically apply tags for sorting.
Event-driven triggers: Webhook triggers allow conversational AI to respond automatically to new tickets or incoming customer replies.

Connecting a voice agent to ServiceNow and Jira Cloud

Connecting ElevenAgents to ITSM platforms like ServiceNow and Jira Cloud shifts the focus from customer experience to internal IT and engineering support. Unlike customer-facing help desks, these platforms handle service requests from employees, contractors, vendors, and other stakeholders. Typical issues handled by conversational AI agents include system outages, bug reports, and access provisioning.

Both platforms connect specialized voice agent integrations directly to your technical operations, but there are some differences in how they work.

ServiceNow

Agents connected to ServiceNow search internal knowledge base articles during live calls to resolve issues before opening new cases. When an issue requires escalation, the voice agent creates new incidents, sets the priority levels, and routes tickets to the specific internal assignment groups. It accomplishes these tasks while logging the work notes for full transparency.

Jira Cloud

Agents connected to Jira Cloud don’t search knowledge base articles. Instead, this connection handles issue management, ticket creation, status transitions, and linking related issues. Agents locate open or pending issues by using a label parameter in the search tool that matches the caller’s identifier. Agents also move tickets through established workflow transitions during the call and post progress comments.

Can a voice agent update CRM records during a call?

Voice agents update CRM records in real time while speaking with callers. ElevenAgents connects directly to your database and allows automated systems to handle tasks like creating contacts and logging activities during the call. These activities maintain accurate records for your customer support team while eliminating manual and tedious work.

Your voice system relies on two main methods to accomplish this in-call support feature:

Native integrations: Built-in connectors link your voice system directly to CRM platforms used by your team, such as Salesforce or HubSpot. The agent then uses standard tools to search records and take actions.
Custom webhook tools: Webhook connectors make it possible to connect with any proprietary CRM with full customization options. The agent triggers your custom API endpoints mid-conversation to search records and take actions.

Additionally, after the call ends, you can use post-call webhooks to automatically send a full summary, transcript, or call status to your CRM.

How to connect tools to your AI voice agent

ElevenAgents reaches your CRM or help desk through direct integrations with external tools.

Here are the five steps that take an agent from setup to production-ready with integrations:

Authenticate: Open your agents settings, go through the Workspace Auth Connections section, and click Add Auth. Choose either OAuth2 Client Credentials, OAuth2 JWT, Basic Auth, or Bearer Tokens.
Select the tool type: Use a webhook tool to trigger external APIs, a client tool to trigger actions in your frontend application, or a code tool to run custom JavaScript or ElevenLabs infrastructure.
Map fields and parameters: Define the tool’s name, description, and the parameters the agent needs to extract from the conversation. For a webhook tool, map your authentication connection or secrets to the request headers and configure the request body schema to make sure the agent formats the payload correctly.
Test a call: Use the testing console in the ElevenLabs dashboard to talk to your agent. Ask a question that requires the tool, such as the status of an order, and verify that the agent runs the tool and speaks the correct answer back.
Go live: Deploy the agent to production by connecting it to a phone number or embedding the web widget in your application.

How to choose the right AI voice agent integrations for your stack

Identify a “north star” to aim for when automating phone conversations. Common options include reducing customer wait times, providing 24/7 availability, and improving customer satisfaction (CSAT) scores. Once you’ve identified the main goal, choose a platform that matches your team’s primary system of record:

CRM for sales and account context: Choose a CRM integration when your main goal is to nurture customer relationships and offer personalized 24/7 customer support. Connecting to platforms like Salesforce or HubSpot provides real-time access to contact records, lead histories, and sales pipeline deals.
Help desks for ticket-first support: Choose a help desk connector if your team needs automation for ticket management to remove bottlenecks and allow workers to focus on more complex tasks. Integrating with platforms like Freshdesk and Intercom connects phone calls directly to ticketing lifecycles.
ITSM tools for internal IT support: Choose an IT service management connector when your main goal is to improve internal processes, especially for onboarding or change management. Connecting agents to platforms like Jira Cloud and ServiceNow resolves internal requests faster to optimize workflows and boost productivity.

If your tech stack includes custom or proprietary databases, use custom webhook tools to connect ElevenAgents to these external endpoints.

Example of an AI voice agent integration in action: Handling a refund call

When linked to different tools and external systems, AI agents have a wealth of technical capabilities and knowledge to pull from. These build to give customers a smooth, high-quality experience when they call in.

Here’s an example of how integrations work together on a single call:

A customer calls to ask about a refund.
The agent searches the CRM or help desk for the caller's record and confirms identity with a detail from it.
The agent reads the refund status from the account or ticket and tells the customer.
If the refund needs action, the agent creates or updates a ticket with a comment describing the issue and what was done.
After the call, a post-call webhook sends the transcript and summary to your CRM.

Get started with ElevenAgents

Connecting your agents to core databases during live phone calls reduces friction for users, customers, and employees. It gives conversational AI models the full context they need to provide helpful answers and resolve issues with fewer escalations to your team. Our developers have created built-in connectors to simplify the process of integrating voice agents, but custom API and webhooks expand your options and provide greater flexibility. Check out our tools documentation to set up your custom webhooks and endpoints.

Learn more about our supported integrations at the ElevenAgents platform or sign up to get started today.