
Supercharge your RepliQ support workflows with Ayudo's AI-powered agents. Connect with Zendesk, Salesforce, and Intercom to automate customer conversations and resolve tickets faster, enhancing your support efficiency.




RepliQ personalizes outreach with AI, crucial for support teams to streamline customer communication and improve service delivery.

To use RepliQ integration in Ayudo, add the RepliQ node to your workflow. Authenticate using an API key from RepliQ. Enable actions like creating support tickets from RepliQ events, syncing customer data, sending automated responses, and triggering AI agent conversations. Once connected, your AI agents can automatically handle RepliQ data in support conversations.
You'll need an API key, which can be found in RepliQ's settings. Ensure permissions include access to survey data and response management. Admin access might be required for setup. Ensure your credentials have access to customer data for full support automation capabilities.
Yes! RepliQ works seamlessly with Zendesk, Intercom, Slack, Gmail, and Freshdesk. For example, when a high-value RepliQ event occurs → create a Zendesk ticket → notify your team via Slack → have an AI agent reach out proactively. These workflows are designed to enhance your support operations.
Common use cases include auto-creating support tickets from RepliQ events, syncing customer data between RepliQ and support tools, triggering AI agent responses based on RepliQ activities, sending proactive support messages via voice/text agents, and updating RepliQ records after support conversations. Each action enhances support efficiency.
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 or per-conversation pricing, you get unlimited AI agent interactions. Your support team can handle more conversations with AI agents without additional costs. This makes RepliQ automation cost-effective as your support volume scales, emphasizing support team scalability.





