Lumi AI Assistant Explained: From Smart Replies to Automatic Meeting Minutes

For distributed teams, communication efficiency often comes down to how fast information gets processed. Meetings need minutes afterward, chat messages pile up and need replies — these small but necessary tasks eat into a team's time and focus. Lumi's built-in AI assistant is built around three capabilities tailored to exactly these high-frequency scenarios: smart reply suggestions, automatic meeting minutes, and automatic action-item extraction. Smart reply suggestions are generated in real time based on conversation context. When a message arrives, Lumi draws on prior chat history and context to offer several reply options that can be sent as-is or with minor edits. This is especially useful for cross-language communication or fast-turnaround customer inquiries, noticeably cutting down the time spent composing and typing — a particular benefit for team members communicating in a non-native language. Automatic meeting minutes work from both voice and text input. Whether a meeting happens over Lumi's video calls or as a discussion in a text channel, the system can identify spoken content, distinguish between speakers, and organize it into structured minutes covering key discussion points, agreements reached, and follow-up items — eliminating the need to manually transcribe recordings or scroll back through chat history after the fact. Automatic action-item extraction extends the minutes feature: the system identifies statements from a meeting or discussion that carry a clear owner, deadline, or to-do nature, and organizes them into a separate task list that can be synced directly into follow-up work — reducing the all-too-common problem of action items falling through the cracks after a meeting ends. For distributed teams working across time zones and languages, these capabilities work together to free up time that would otherwise go into manual note-taking and scrolling through messages after the fact, letting team members focus on actual decisions and execution rather than on organizing information.