Feature Request

Business Problem: Currently, respond.io supports integration with platforms like Zapier and Integromat, but there is no direct integration with n8n.cloud ( n8n.io ). Many businesses prefer n8n due to its lower costs and flexible workflow automation capabilities. Without a native integration, users must rely on workarounds or custom scripts, making automation more complex. Desired Outcome: Enable integration with n8n.cloud ( n8n.io ) to allow seamless automation of workflows. If a full integration is not immediately possible, ensuring that webhook support is available would already help users connect respond.io with n8n efficiently.

Business Problem: Currently, users can only be assigned to one team within a single space on respond.io . This limitation restricts flexibility for users who need to participate in multiple teams, such as Customer Support and Sales, but not Management. Desired Outcome: Allow users to belong to multiple teams within a single space on respond.io . For example, a user could simultaneously be part of both the Customer Support and Sales teams while not being assigned to the Management team, enabling better collaboration and access to relevant resources.

I would like to be able to delete or edit a message that I sent by mistake on the Messages module, and for it to also be removed for edited rom the recipient's device. 🔴 Important Note: This is NOT a limitation on respond.io . This is a limitation set by Facebook's team to all WhatsApp API accounts.

The official WhatsApp API currently doesn't support Group Chats. Other platforms supporting WhatsApp Groups use unofficial APIs that often break. We will consider building this feature once it is released officially for WhatsApp API. 🔴 Important Note : This is NOT a limitation on respond.io . This is a limitation set by Facebook's team to all WhatsApp API accounts.

Business Problem: In the current AI Agent, there is only one objective: Answer questions. The objective is simple, but the scope is adaptable and opens multiple avenue of possibilities. In this case, because the objectives can be subjective, it is difficult for users to configure them effectively. User struggle to set up these agents for specific tasks, despite the agents' potential to handle a wide range of subjective tasks. Desired Outcome: Develop an AI setup bot for users to converse with while setting up AI Agent of their choice. This AI setup bot aims to: Understand users' goals with AI Agent. Recommend objectives for the AI agent. Guides users in configuring the AI agent. Engages in detailed conversations to gather precise requirements. Facilitates additional use cases as needed. This approach aims to save time, lower the entry barrier for users, and provide clear guidance during the AI agent setup process, thereby enhancing the potential applications of AI in various business contexts which additionally allow users to create their own objectives. Use case (Capture, Convert, Retain): This AI Agent feature plays a foundational role in any type of phases in a sales cycle: Reduces time-to-value by accelerating setup Increases successful AI deployments Lowers user frustration and churn due to misconfiguration Encourages experimentation with more advanced or custom use cases

Business Problem Currently, Respond.io does not support any integration with Cal.com , which limits teams from offering real-time scheduling capabilities during conversations. Without API-level access, users must manually manage bookings on the Cal.com platform — adding unnecessary friction to lead capture, support handoffs, and customer follow-ups. This manual process increases drop-off risk and slows down engagement. Desired Outcome Allow users to trigger bookings via Cal.com ’s API. Fetch available time slots connected to a Cal.com user or team account to display options dynamically. Book meetings on behalf of customers from within Respond.io — no redirection to Cal.com required.

Business problem: As an agent on the go, I want to handle support Channel calls such as WhatsApp, Messenger, etc. directly from the mobile app, so that I can provide seamless customer service without being tied to a desktop. Desired outcome: Allow agents to initiate and receive calls via the mobile app. Use Cases: Agents resolving customer issues while traveling. Field agents managing customer calls during site visits. The current workaround: N/A

The current "Assign To" step in the Workflow allows for round robin assignment logic, but it assigns leads or contacts equally to each user. It would be beneficial to add a weighting option to the round robin assignment logic so that we can assign leads or contacts to agents with different weights based on their experience or skill. For example, we could assign more leads or contacts to senior agents who have more experience. This would ensure that the most skilled agents receive more opportunities to engage with leads or contacts.

With the new workflow comes in place, adding the functionality for users to analyze and get insight on the performance of the workflow would be very helpful. Ways of analyzing workflow: The workflow heatmap which consists of the error/success rate, abandonments rate, traffic of branching and etc The workflow log which consists of all the audit log to keep track of the contact activities within a particular workflow

Business problem: Currently, AI Agent does not have the capability to process images from messages. This feature would help platform users handle objective queries where the contact sends an image, AI Agent will not be able to process it answer based on the image that the contact is enquiring about. Desired outcome: Allow AI to process images based on the image from messages. Specific use cases: Identify brands of items of the image and provide a response on said brand / product Identify issues from images and provide a response based on knowledge sources (i.e. image of a malfunctioning device of a specific brand) Process an image of a form, receipt, etc Use case (Capture, Convert, Retain): This feature spans multiple phases: Capture: Visually engage users early in the journey—think visual search or product discovery via images. Convert: Streamline image-based product matching and upselling in chat. Retain: Use visual input to reduce back-and-forth and solve problems faster.