Hey everyone! Last month we hosted a Community Office Hours on Discourse AI for Enterprise Communities current customers, and I really wanted to share this one more broadly with the Meta community! AI in Discourse is focused on making communities easier to run and more useful, not adding complexity. It’s about removing repetitive work, surfacing better insights, and making your community easier to navigate, manage, and grow. Watch the Office Hours Replay AI for Enterprise Webinar Part 1: Community Office Hours 2026 AI Search (Semantic + Conversational) Search works based on meaning, not exact keywords, so it can find relevant discussions even when phrasing, typos, or languages differ. This helps users get to answers faster and reduces duplicate questions. Searches based on meaning, not exact wording Handles typos, phrasing differences, and multiple languages Surfaces relevant discussions traditional search would miss Optional conversational results that summarize answers with sources Impact: Less duplicate questions Faster self-service for users Automated Moderation AI helps reduce manual moderation by automatically flagging or acting on content based on rules you define. It supports moderators without removing control, keeping a human in the loop. Detects spam and disruptive behavior early Flags or hides content based on custom prompts Works especially well for new or low-trust users Fully customizable to your community standards Impact: Less time spent reviewing every post Faster response to issues Scales moderation without adding headcount Summaries + Related Topics AI-generated summaries and related topics make it easier to understand conversations quickly and discover relevant content. This helps users engage without needing to read everything. Auto-generates summaries for long discussions “Summarize” button for full topic overviews Suggests related topics based on meaning, not tags Works across languages Impact: Easier to jump into conversations Higher engagement from latecomers Less friction in navigating content AI + Automation AI can automate repetitive tasks like tagging, organizing, and reporting, helping teams stay focused on higher-value work. It also enables ongoing insights without manual effort. Automatically tags and categorizes content Creates custom workflows using AI triggers Generates recurring reports (daily, weekly, etc.) Can send insights to email, Slack, or other tools Impact: Less manual admin work Better visibility into community activity More time for strategy and engagement MCP + Data Explorer MCP allows you to interact with your community data using natural language, making reporting and analysis much faster. It bridges the gap between technical data and everyday questions. Ask questions in plain language instead of writing queries Generate reports instantly from community data Break down trends over time (topics, users, activity) Can integrate with tools like Jira Impact: Faster access to insights Less reliance on technical expertise Easier decision-making across teams (We have a really excellent office hours recording on MCP that I’ll be sharing here soon!) Privacy & Control Discourse gives you flexibility in how AI is used, including which providers are involved and how data is handled. This helps meet internal requirements without limiting functionality. Choose your AI provider or use the built-in model Data does not train external models Compatible with internal or approved providers Supports different compliance and security needs Impact: Greater control over data usage Easier alignment with legal and security teams Flexible setup for enterprise environments Would love to hear your thoughts! Any features you’re most excited about, or use cases you’re already thinking about for your community?