SLACK AGENT
Answer technical questions in Slack, grounded in your documentation
Connect your documentation, code and support content, then deploy across your Slack workspace or community in minutes.
how it works
Instant, accurate answers, without leaving Slack
Kapa answers in the channels where your work is already done, drawing on your documentation, historical support tickets, and code.
Connect your sources
Connect 30+ sources: help centers, GitHub code, wikis, PDFs, and SDKs.
Install the app in Slack
Hosted and production-ready in minutes. No infrastructure to maintain.
Track and improve
See top questions, documentation gaps, and feedback.
Built for your community, internal teams, and customer channels
Try Kapa with your technical content
Test and evaluate Kapa for free
Go live in less than 7 days
SOC 2 Type II & GDPR compliant
What does the kapa Slack Agent do and who is it for?
The Slack Agent is a kapa-powered bot that answers technical product questions directly inside Slack, grounded in your documentation, code, support tickets, and other connected sources. It is built for three main audiences: community channels where end users self-serve answers, internal channels where employees query company knowledge, and shared customer support channels where your team can tag the bot into conversations. This lets developers and support teams get instant answers in the place where work already happens, without context-switching to a separate tool. It is part of the broader kapa platform used by 200+ technical and enterprise companies. The same underlying answer engine also powers kapa's website widget, support form deflector, and other surfaces, so Slack can be one channel in a wider deployment.
How does the bot behave differently in public versus private channels and DMs?
You can deploy the bot two ways: a Global Workspace integration that responds in any channel it is invited to, or a Single Channel integration scoped to specific channels. By default the bot only replies when a user mentions it with @kapa, but you can enable forum auto-reply mode so it responds automatically to every new post in a channel. It works in public channels, private channels, and one-to-one DMs, and when tagged in an existing thread it reads the prior messages for context before answering. A useful detail for buyers is that you can run multiple integrations in the same workspace, with Single Channel settings taking priority over the Global Workspace configuration. Be cautious adding the bot to externally shared channels, since all members there, including external users, can then interact with it.
How does kapa keep answers accurate and avoid hallucinations in Slack?
Every answer is generated only from your connected sources rather than from the model's open-ended knowledge, and responses include citations back to the underlying documentation so users can verify them. When the connected sources do not contain enough information to answer confidently, kapa is designed to say so instead of fabricating a response, which is critical when developers act on the guidance. You can scope which sources a given agent or channel uses, so answers stay relevant to the right product or audience. Users can also give feedback on responses through reactions, and the platform surfaces the most common questions and documentation gaps so you can close them over time. This combination of source grounding, citations, and feedback loops is what makes the bot dependable in front of customers.
How is human handoff and escalation handled in support channels?
Kapa recommends a clear separation between channels where the bot answers, such as a dedicated #ask-ai channel, and channels where users expect human responses, so people always know what to expect. In shared customer support channels, your support team stays in the loop and can tag the bot into threads where it knows the answer, while keeping ownership of conversations that need a human. Because the bot replies in threads, a teammate can step in at any point in the same conversation without the AI getting in the way. You can also customize acknowledgment, follow-up, and error messages to set expectations and guide users toward a human when needed. Analytics on questions and feedback help you spot where the bot should defer and where coverage needs improvement.
How much setup effort does it take, and is it secure enough for enterprise use?
Setup is fast: you connect your sources, create a Slack integration in the kapa platform, install the hosted bot, invite it to the channels you want, and enable it with a slash command, with no infrastructure to maintain. The bot is hosted and production-ready in minutes, and reinstalling for new features preserves your existing configuration and enabled channels. On security, kapa is SOC 2 Type II certified and GDPR compliant, and the Slack bot requests only the OAuth scopes needed to read mentions and channel context, post answers, and process uploaded files. User tracking is anonymous by default using Slack IDs, with optional named tracking by email if you want to identify users across workspaces. For exact data handling and subprocessor details, buyers can review kapa's security page and Trust Center.
Can Kapa help my support team reduce tickets?
Yes. The support form deflector suggests answers before a ticket is submitted and resolves about 40% of tickets on average, up to 70% for leading companies. The Zendesk agent also suggests answers to your support agents in-app.
Can users attach files or images to their questions?
Yes, in the internal technical assistant and Slack bot. Kapa accepts PDFs, images (.jpg, .png), and a wide range of text and code files, and uses them as context for a more accurate answer.
Can I see who's using Kapa and what they ask?
Yes. Every integration tracks usage, anonymously by default or tied to email or a custom ID, and the platform gives you user and conversation analytics you can review in-app or export to CSV.