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+# AI integrations
+
+Zulip’s [topics](https://zulip.com/help/introduction-to-topics) organize
+conversations within a channel, which is ideal for integrating with AI systems
+and collaborating with AI agents. With Zulip's structure, it's easy to prompt an AI
+with the appropriate context for what you want to accomplish.
+
+You can connect your AI models of choice with Zulip using the [interactive bots
+API](https://zulip.com/api/running-bots), which makes it convenient to have AI
+models participate in conversations in whatever ways your organization finds
+most effective as the technology evolves.
+
+Future Zulip releases will also contain built-in AI features, such as topic
+summarization. A major advantage of self-hosting your team chat system
+in the age of AI is that you maintain full control over your internal
+communications. It’s up to you how you allow third parties and AI models to
+process messages.
+
+Zulip Server 10.x includes a beta topic summarization feature that is available
+for testing and experimentation. We appreciate any
+[feedback](../contributing/suggesting-features.md)
+on your experience, and what configuration options and additional features your
+organization would find useful.
+
+## Built-in AI features
+
+### Data privacy
+
+Making sure customer data is protected is [our highest
+priority](https://zulip.com/security/). We don’t train LLMs on Zulip Cloud
+customer data, and we have [no plans to do
+so](https://blog.zulip.com/2024/05/23/self-hosting-keeps-your-private-data-out-of-ai-models/).
+
+We are committed to keeping Zulip 100% open-source, so the source code that
+defines how data is processed is available for third parties to review and
+audit.
+
+### General configurations
+
+Self-hosted Zulip installations can choose whether to self-host their own AI
+models or use a third-party AI model API provider of their choice. Zulip’s AI
+integrations use the [LiteLLM](https://www.litellm.ai/) library, which makes it
+convenient to configure Zulip to use any popular AI model API provider.
+
+- **Server settings**: You can control costs using `INPUT_COST_PER_GIGATOKEN`,
+  `OUTPUT_COST_PER_GIGATOKEN`, and `MAX_PER_USER_MONTHLY_AI_COST` settings,
+  which let you set a monthly per-user AI usage budget with whatever pricing is
+  appropriate for your selected model.
+- **Organization settings**: Administrators can specify who can use each AI
+  feature that is enabled by the server. The permission can be assigned to any
+  combination of roles, groups, and individual users.
+- **Personal settings**: Users who find AI features intrusive or distracting can
+  hide them from the UI with a **Hide AI features** personal preference setting.
+
+### Topic summarization beta
+
+:::{note}
+
+Topic summarization is not yet available in Zulip Cloud.
+
+:::
+
+The Zulip server supports generating summaries of topics, with convenient
+options for doing so in the web/desktop application’s topic actions menus.
+
+#### How it works
+
+:::{warning}
+
+As with all features powered by LLMs, topic summaries may contain errors and
+hallucinations.
+
+:::
+
+The topic summarization feature uses a Zulip-specific prompt with off-the-shelf
+third-party large language models.
+
+When a user asks for a summary of a given topic, the Zulip server fetches recent
+messages in that conversation that are accessible to the acting user, and sends
+them to the AI model to generate a summary.
+
+Emoji reactions, images, and uploaded files are currently not included in what
+is sent to the AI model, though some LLMs may have features that might follow
+links in content they are asked to summarize. (Note that Zulip’s permissions
+model for uploaded files will prevent the LLM from accessing them unless the
+files have been posted to a channel with the [public access
+option](https://zulip.com/help/public-access-option) enabled.)
+
+#### Enabling topic summarization
+
+:::{important}
+
+If you use a third-party AI platform for topic summarization, you are trusting
+the third party with the security and confidentiality of all the messages that
+are sent for summarization.
+
+:::
+
+Enable topic summarization by configuring `TOPIC_SUMMARIZATION_MODEL`
+and related configuration settings in `/etc/zulip/settings.py`. Topic
+summarization and settings for controlling it will appear in the UI
+only if your server is configured to enable it.
+
+#### Choosing a model
+
+When modeling the pricing for a given model provider, you’ll primarily want to
+look at the cost per input token. Because useful summaries are short compared to
+the messages being summarized, more than 90% of tokens used in generating topic
+summaries end up being input tokens.
+
+Our experience in early 2025 has been that midsize ~70B parameter models
+generate considerably more useful and accurate summaries than smaller ~8B
+parameter models.
diff --git a/docs/production/index.md b/docs/production/index.md
index dfe9dc9ea7..5ce74b03e5 100644
--- a/docs/production/index.md
+++ b/docs/production/index.md
@@ -26,6 +26,7 @@ reverse-proxies
 multiple-organizations
 email-gateway
 video-calls
+ai-integrations
 giphy-gif-integration
 scim
 ```