SleekFlow Product Requests

This feature enables the AI agent to analyze and interpret media files such as PDFs, Word documents, and images. Users benefit from a more seamless experience as the AI can process these files directly to provide answers or continue conversations without needing to transition the interaction to a human agent.

This feature allows the AI to retain and recall context from previous conversation sessions rather than being limited to a specific number of recent messages. Users benefit from a more seamless and personalized experience, as the AI can provide consistent support by remembering past interactions and preferences across multiple sessions.

This feature introduces a timeout branch for AI agent nodes, allowing the agent to automatically take action if a user does not respond within a set period. This ensures conversations remain active by enabling the AI to send follow-up reminders, helping to re-engage the user and move the interaction toward a resolution.

This feature allows users to gradually roll out and update their agents using A/B testing. By testing different versions with a subset of their audience, users can compare performance and make data-driven decisions to ensure the most effective agent experience is deployed.

This feature introduces a lead scoring system for all contacts based on their interactions, such as conversations and website events, as well as specific contact or custom object properties. Users benefit from this by being able to automatically identify and prioritize high-value leads based on their engagement and profile data, leading to more efficient sales and marketing efforts.

This feature implements Role-Based Access Control (RBAC) for the AI knowledge base, ensuring that only authorized users can access or manage AI training data. By restricting these permissions, the user can maintain the integrity and security of the AI's responses, preventing unauthorized changes to the information the AI provides to customers.

This feature allows users to manually assign specific conversations to an AI agent. By doing so, the user can ensure that the AI takes over the interaction at the most appropriate time, providing immediate assistance and maintaining seamless communication with customers.

This feature enables users to connect their own custom servers to the AI agent, expanding the range of actions the agent can perform. By integrating these custom servers, users can tailor the AI agent's capabilities to meet their specific needs and streamline their workflows.

This feature allows AI agents to access and interact with CRM data directly. Users benefit from more personalized and informed customer interactions, as the AI agent can leverage existing customer information to provide relevant responses and manage data without manual intervention.

This feature enables AI agents to access and interact with CRM data, including contact details and engagement history. Users benefit from more personalized and informed customer interactions, as the AI can leverage existing record information to provide accurate and relevant responses.