AI Integrations
Connect chatbot conversations to the tools your business already uses
CallVert integrations move lead data, transcripts, customer intent, and workflow outcomes into CRM, communication tools, data tables, and custom APIs.
Which integrations should an AI chatbot have?
An AI chatbot should connect to CRM for leads, communication tools for alerts, data tables for operations, e-commerce or account systems for live context, and webhook/API endpoints for custom workflows.
Integration Library
Connect the systems behind revenue and support
HubSpot
Salesforce
Zoho
Pipedrive
Slack
Email
Google Sheets
Airtable
Notion
Shopify
WooCommerce
Webhook/API
Integration Strategy
What should move between the chatbot and your tools?
The most valuable integration is not a basic notification. It is a structured payload that gives the receiving team context and next steps.
- Send name, email, phone, company, and intent.
- Attach transcript, source page, workflow name, and lead score.
- Push custom fields such as budget, order number, product, or urgency.
- Receive live data from backend APIs when the workflow needs it.
| Integration mode | What it sends | Why it matters |
|---|---|---|
| CRM | Lead data, score, transcript | Sales sees qualified context |
| Communication | Alerts and handoff notes | Teams respond quickly |
| Data tables | Rows, tags, status | Operations can report outcomes |
| Developer API | Custom payloads and results | Connect any internal platform |
Make your chatbot part of your operating system.
Connect every meaningful conversation to the tools that run your business.