
Supercharge your Toggl Track support workflows with Ayudo's AI-powered agents. Connect seamlessly with Zendesk, Slack, and Intercom to resolve tickets faster and automate customer conversations, ensuring instant responses for your clients.




Toggl Track is a time tracking software essential for customer support teams, providing insights into time spent on resolving tickets and improving service delivery efficiency.

To use Toggl Track integration in Ayudo, add the Toggl Track node to your workflow and authenticate using your API key. You can create support tickets from Toggl Track events, sync customer data, send automated responses, and trigger AI agent conversations. Once connected, your AI agents can automatically handle Toggl Track data in support conversations.
You will need an API key from Toggl Track, which you can find in the API section of Toggl Track's settings. Ensure you have permissions to access time entries and project data. Admin access may be required. Ensure your credentials have access to support data for full support automation capabilities.
Yes! Toggl Track works seamlessly with Zendesk, Intercom, Slack, Gmail, and Freshdesk. For example, when a high-value Toggl Track event occurs, you can create a Zendesk ticket, notify your team via Slack, and have an AI agent reach out proactively to the customer. These workflows enhance support efficiency.
Common use cases include auto-creating support tickets from Toggl Track events, syncing customer data between Toggl Track and support tools, triggering AI agent responses based on Toggl Track activities, sending proactive support messages via voice/text agents, and updating Toggl Track records after support conversations.
Ayudo uses per-seat pricing ($119-$179/seat/month) which is ideal for support teams. You pay per support agent seat, not per automation or ticket volume. Unlike per-ticket pricing, you get unlimited AI agent interactions, allowing your support team to handle more conversations without additional costs. This makes Toggl Track automation cost-effective as your support volume scales.





