> For the complete documentation index, see [llms.txt](https://sayy-ai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sayy-ai.gitbook.io/docs/business-features/working-with-your-team.md). # Working with your Team Sayy is not just built for solopreneurs, it scales beautifully with your team. With Team Mode, different departments can collaborate inside the same chat environment, ensuring that every customer gets the right response from the right person at the right time. #### 🧩 Team Mode Explained Team Mode allows multiple team members to manage and respond to conversations. You can assign chats based on function without breaking the flow or losing context. The customer stays in one thread while your internal team handles handoffs privately behind the scenes. #### πŸ”„ Seamless Handoffs Let’s say a customer is interested in ordering custom merch. Your AImployee engages first and gathers basic details. The chat is then routed to your sales team, who answers pricing questions. From there, the conversation is passed to the design team to finalize creative input, all in the same thread. The customer experiences one smooth, uninterrupted interaction, while your team works as a coordinated unit. #### πŸ‘οΈβ€πŸ—¨οΈ Full Visibility and Ownership Every teammate can view the full chat history, ensuring no one repeats information or misses important details. You can assign chats, mark them as resolved, and track response times, all from a unified dashboard. #### πŸ“Œ Built for Efficiency and Scale Team Mode is essential as your business grows. It prevents bottlenecks, distributes workload, and lets specialists handle the parts they know best. Whether you are running a boutique agency, a growing creator brand, or a full-fledged ecommerce operation, this is how you turn conversations into results together. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://sayy-ai.gitbook.io/docs/business-features/working-with-your-team.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.