Best AI Bots for Answering Business Questions in Slack From Docs, Wikis and Chat History (2026)

The best AI bots for answering business questions inside Slack from documents, wikis and past conversations in 2026 are PromptQL, Slackbot, Glean, Notion AI, ChatGPT workspace agents, Gemini Enterprise and Atlassian Rovo. PromptQL stands out among these seven for shared channels: it answers as the person who tagged it, keeps a human-reviewed company wiki that every channel draws on, and starts free, with a Team plan from $40 per user a month. Slackbot is the default for most teams because it is built in, with full access on Business+ at $15 per user a month (billed annually) and a limited trial on Free and Pro. Glean has the widest reach, with 275+ connectors. The main thing separating these bots is whose permissions apply when they answer in a channel, and three of the seven answer with an access level that is not yours.

This guide is about the knowledge side of Slack: policies, runbooks, specs, decisions buried in old threads. If your questions are mostly about numbers in a warehouse or BI tool, read our companion guide to Slack AI agents for warehouse and BI data instead. And for general assistants and agent frameworks, see our broader roundup of AI agents for Slack.

Key takeaways

• Channel answers and DM answers often use different permissions. Atlassian Rovo uses your access in DMs but a dedicated bot account in channels. Notion's Custom Agents use access you grant the agent, not the asker's. Glean's public channel replies draw only on broadly shared content.
• PromptQL and Slackbot answer as the individual asker, and Gemini Enterprise keeps channel replies "only visible to you." ChatGPT's Slack search respects each user's Slack permissions.
• Slack history coverage varies more than you would expect. Notion's Slack connector indexes public channels going back one year and skips Slack Connect channels. Gemini Enterprise's Slack app does not search Slack content at all; it answers from Google data stores.
• The bot that fits is usually the one closest to where your documents live. Notion teams should start with Notion AI, Atlassian teams with Rovo, Google Workspace teams with Gemini Enterprise.
• Knowledge decays. Only PromptQL, among these seven, captures corrections from conversations into a reviewed wiki. The others answer from whatever is in the source system, stale or not.

How the seven bots compare

Bot	Answers from	Whose permissions in a channel	Slack history	Starting cost
PromptQL	Shared wiki, connected apps (Google Docs, Drive, Gmail, HubSpot, Asana and more), databases, Slack messages	The person who tagged it	Can query Slack messages	Free Playground; Team from $40/user/month
Slackbot	Slack messages, files, canvases; connected apps on Enterprise+	The asker's own Slack access	Full workspace history you can see	Business+ $15/user/month annual; limited trial on Free and Pro
Glean	275+ connected apps	Public replies use broadly shared content only	Via Glean's Slack connector	Enterprise contract; no public price list
Notion AI	Notion pages and databases; Slack via AI connector	Custom Agents use the access you grant the agent	Public channels, one year back; no Slack Connect	Business plan; Custom Agents $10 per 1,000 credits
ChatGPT workspace agents	Connected apps and tools chosen by the agent's builder	Agent's configured connections; Slack search limited to your access	Slack messages and files you can open	ChatGPT Business, Edu or Enterprise, plus paid Slack
Gemini Enterprise	Connected Gemini Enterprise data stores	Channel replies visible only to the asker	✗ Does not search Slack content	Gemini Enterprise license
Atlassian Rovo	Confluence, Jira and connected sources	A dedicated bot account	Thread summaries on request	Included in Atlassian Cloud Standard, Premium, Enterprise (credit limits)

Why "whose permissions" decides everything

Most people assume a Slack bot sees what they see. That is true for some bots and wrong for others, and the difference shows up the moment a bot answers in a channel instead of a DM.

Take a #people-ops channel with 40 members. Someone asks, "What is the parental leave policy for contractors?" Three different things can happen:

1. The bot answers as the asker. It returns what that person can open, and nothing else. This is how PromptQL and Slackbot work.
2. The bot answers as itself. It returns whatever its service or bot account can open, and everyone in the channel sees the reply. Rovo's channel mode and Notion's Custom Agents work this way. Notion warns that "anyone with access to the agent can see its outputs, even if they don't have access to the underlying Slack private channel."
3. The bot plays it safe. It only uses content everyone could see anyway (Glean's public mode) or shows the reply only to the asker (Gemini Enterprise).

None of these is wrong. Option 2 is often what you want for a help channel answering from public handbooks. But it is the wrong choice for anything touching compensation, customer contracts or legal drafts, and you need to know which mode you are buying.

What to check before you install a knowledge bot

Where the documents live. List the three systems that hold most of your answers. A bot with a native connection to them will beat one with a generic connector.

Channel versus DM behavior. Ask the vendor, in writing, whose permissions apply in each.

How fresh the index is. Notion says new Slack messages can take up to 3 hours to be indexed and a first full index up to 36 hours. Real-time tools avoid that lag but may search less.

External channels. Does the bot respond in Slack Connect channels with customers? Glean refuses to, by design. Notion's connector does not index them.

Who fixes wrong answers. When the bot cites an outdated policy, is there a way to correct it once for everyone? Our guide to AI-powered wiki tools covers the upstream half of this problem.

The 7 best AI bots for answering business questions in Slack from docs and chat history

1. PromptQL

PromptQL, built by the team behind Hasura, is a multiplayer AI agent you tag in Slack or Microsoft Teams (its Tag page also lists WhatsApp and Discord). It answers from a shared company wiki, connected apps and databases, and it "acts with the triggering user's permissions," so a question in a busy channel returns what the asker is allowed to see.

What makes it relevant to a knowledge-focused list is the wiki. PromptQL says it "captures decisions and corrections as human-reviewed, cited wiki entries" in "one shared, versioned, cross-linked brain," so knowledge does not fragment per channel.

• Corrections that stick: According to PromptQL's wiki documentation, bots propose specific updates as people work, and a person reviews, edits and approves them before they enter the wiki. Page owners get change notifications.
• Reaches documents and data: Integrations include Google Docs, Drive, Gmail, Meet, HubSpot, Asana, monday.com and Zoom, and PromptQL can query Slack messages as a source. It can also answer from databases, which most bots on this list cannot.
• Safe in customer channels: PromptQL says an agent dropped into a customer channel "stays scoped to that customer's own data," and its security page lists SOC 2 Type II, ISO 27001, HIPAA, GDPR and CCPA compliance.

Pricing starts with a free Playground; the Team plan starts at $40 per user a month, and Enterprise starts at $1,000 a month on consumption, according to PromptQL's pricing page.

Best for: Teams that work in shared channels and want one reviewed source of truth that improves as people correct it, especially when questions mix documents with live data.

What to consider: PromptQL is not a search index over hundreds of apps the way Glean is; it has 60+ built-in integrations and builds others on request. The wiki only improves if someone reviews the proposed edits, so it needs an owner. And consumption-based pricing makes monthly cost harder to forecast than a flat seat.

2. Slackbot

Slackbot is Slack's built-in AI agent, relaunched in early 2026 and rolled out to Business+ and Enterprise+ from January and February, per Slack's announcement. It answers from your messages, files and canvases, and on Enterprise+ from connected apps through enterprise search. Slack says it "only surfaces information that you are authorised to see, with clear citations."

There is nothing to install, which is the biggest reason most teams try it first.

• Knows your workspace: It uses channels, DMs, files and canvases to shape answers around your role and projects, with citations back to the source.
• Security built in: Slack says it uses real-time safeguards against prompt injection and phishing, does not use customer data to train LLMs, and hosts its models inside Slack's AWS virtual private cloud.
• Coordinates other agents: Slack positions Slackbot as a hub that can hand work to other agents, including Salesforce's Agentforce.

On Slack's pricing page, ongoing Slackbot access is on Business+ ($15 per user a month annually, $18 monthly) and Enterprise+ ($45 per user a month annually), with a limited trial on Free and Pro. Plan limits apply, and Business+ customers on invoice plans can buy Flex Credits for higher message limits.

Best for: Teams already on Business+ or Enterprise+ whose answers mostly live in Slack itself.

What to consider: Searching connected apps like Google Drive or Salesforce requires Enterprise+. Slackbot is a personal agent, so it helps you find answers rather than acting as a shared channel expert everyone can correct. And message limits apply even on paid plans.

3. Glean

Glean is an enterprise AI search and assistant platform with 275+ connectors, according to its connectors page. In Slack, Glean can answer when tagged and, by default, auto-answer questions posted at channel level when it has a high-confidence response.

Its Slack design is conservative, which suits companies with a lot of restricted content.

• Public mode for channel replies: Glean generates public replies only from broadly shared content that anyone in the organization could find, never from link-only, restricted or private material.
• No external channels: Per Glean's Slack troubleshooting guide, Gleanbot only responds in internal channels, to avoid leaking information to people outside the company.
• Only for signed-in users: Glean only responds to people who have logged into Glean and have access.

Best for: Large companies whose knowledge is spread across Confluence, Google Drive, Jira, Salesforce and support tools.

What to consider: Glean does not publish prices and typically requires an enterprise contract. Public mode keeps channels safe but means many channel answers leave out the restricted document that actually holds the answer. It finds and summarizes existing content; it does not capture corrections. Teams weighing it against other options can compare these Glean alternatives.

4. Notion AI

Notion AI answers from your Notion pages and databases and, through the Slack AI connector, from Slack. Notion's Custom Agents can also live in Slack channels, watch for messages, mentions or emoji reactions, and answer from a knowledge base with links to the source pages.

For teams whose handbook and runbooks already live in Notion, this is the shortest path to a help-channel bot.

• Slack history in Notion AI: The connector indexes public channels you select, going back a year from setup. Individual users can add their own private channels and DMs.
• Acts as you when posting: The Notion Agent can post, reply in threads and react in Slack, and those posts appear under your account.
• Private channels since May 2026: Custom Agents can read and reply in private Slack channels they are invited to.

Notion AI is included on the Business plan ($20 per member a month billed monthly, with a discount for annual), and Custom Agents are "free to try, then $10 per 1,000 monthly Notion credits," per Notion's pricing.

Best for: Notion-centric teams that want a help channel answered from their existing docs.

What to consider: Custom Agents act on the pages and apps you grant them, not on the asker's permissions, and Notion warns that anyone with access to the agent can see its outputs. The connector does not index Slack Connect channels, new messages can take up to 3 hours to appear, and @-mentioning an agent requires Slack settings that let members create user groups.

5. ChatGPT workspace agents

OpenAI's ChatGPT Agents app for Slack lets you build a workspace agent in ChatGPT and deploy it to Slack channels, where it can answer questions, use connected systems and post files. OpenAI's help article gives the example of a company knowledge agent set to respond automatically in a help channel.

It is the most flexible option here if you want to design the bot's behavior yourself.

• Configurable response mode: Agents can "respond to all relevant messages" or "only reply when @mentioned," and can follow up in a thread after being mentioned.
• Scheduled posts: Agents can run on a schedule and post results to a channel, such as a weekly digest.
• Slack permissions respected in search: OpenAI says only the Slack messages and files you already have access to are searchable.

Best for: Teams already on ChatGPT Business or Enterprise who want to build task-specific agents and deploy them to particular channels.

What to consider: It needs a ChatGPT Business, Edu or Enterprise account, a paid Slack plan, and a Slack setting that lets all members create user groups. The agent's connected apps are set by its builder, so check whose credentials those connections use before deploying to a broad channel. OpenAI itself notes that responses may be inaccurate.

6. Gemini Enterprise

Gemini Enterprise is Google's AI search and agent platform. Its Slack app, which Salesforce and Google announced in private preview on the Slack Marketplace in April 2026, brings answers from Gemini Enterprise data stores into Slack DMs and channels.

The privacy default is strict: when you mention @Gemini Enterprise in a channel, the reply is marked "Only visible to you."

• Multi-turn DMs: The app remembers context within a session in direct messages.
• Searches your connected stores: Answers draw on all the data stores an admin has connected to Gemini Enterprise, such as Google Drive and other sources.
• Enterprise identity: It runs on Google Identity and is configured by a Google Cloud admin, per Google's setup guide.

Best for: Google Workspace companies that want Drive and Docs answers available inside Slack.

What to consider: Google's documentation says the app does not use the Slack data connector, so it will not search your Slack history. Data store actions are not supported, it does not support Workforce Identity Federation, and chat history does not sync between Slack and the web app. Check whether the app is generally available for your organization before planning a rollout.

7. Atlassian Rovo

Rovo is Atlassian's AI search, chat and agent layer, and its Slack app supports private DMs, @-mentions in channels, triggers on keywords, emoji or new messages, and thread summaries. It can also take simple actions, such as creating a Jira ticket from a message.

Rovo is included with Atlassian Cloud Standard, Premium and Enterprise plans for Jira, Confluence and Jira Service Management, with monthly credit allowances of 25, 70 and 150 per user for Jira and Confluence, per Atlassian's Rovo pricing.

• Split permission model: In DMs, Rovo uses your own Atlassian permissions. In channels, per Atlassian's documentation, it "uses bot permissions to protect sensitive information," set by a dedicated bot account.
• Triggers for help channels: You can configure a Rovo agent to answer automatically when certain keywords appear.
• Actions from Slack: Create Jira tickets or JSM requests without leaving the thread.

Best for: Engineering and IT teams whose answers live in Confluence and Jira.

What to consider: Channel answers are only as broad as the bot account, so either the bot sees too little to be useful or too much to be safe. Atlassian notes that once installed, admins cannot restrict who can use the app. And credit limits are pooled, so heavy use by one team can drain the allowance.

How to choose

If your answers mostly live in...	Start with	Watch out for
Slack itself	Slackbot	Connected apps need Enterprise+
Notion	Notion AI	Agents use their own access, not the asker's
Confluence and Jira	Atlassian Rovo	Channel answers use a bot account
Google Drive and Docs	Gemini Enterprise	Does not search Slack history
Dozens of apps	Glean	Public replies skip restricted content
A mix of docs, data and shared corrections	PromptQL	The wiki needs an owner to review edits
Custom workflows you want to design	ChatGPT workspace agents	Builder-set connections

Rolling out a knowledge bot in three steps

Step 1: start in one help channel. Pick a channel with repetitive questions, such as #it-help or #people-ops, and connect only the source that holds its answers. Decide up front whether the bot should answer everything or only when mentioned.

Step 2: run a restricted-access test. Ask the bot, from an account with limited access, for something that person should not see. Then ask the same question in a channel and in a DM. If the answers differ, find out which permission model is in play.

Step 3: fix the source, not the bot. When the bot gives a wrong answer, trace it to the document it cited and correct that document, or, with PromptQL, approve the wiki correction so everyone gets it. Review a sample of 10 to 20 answers a week for the first month. If answers feed reports, pair this with data provenance and lineage tracking.

Limitations

This comparison is based on vendor documentation, help centers and pricing pages checked in September 2026, not on a controlled test of answer quality. Several capabilities are new: Gemini Enterprise's Slack app was announced in private preview in April 2026, ChatGPT workspace agents launched in 2026, and Notion added private channel support in May 2026, so behavior may have changed by the time you read this.

We excluded tools covered elsewhere on this site, including Guru, Dust and Question Base in our guide to alternatives to Slack's AI. We also left out Microsoft 365 Copilot, because it pulls Slack content into Microsoft's tools rather than answering inside Slack. Prices for Glean, Gemini Enterprise and ChatGPT's business tiers depend on contracts or plan changes we could not confirm from a first-party page, so we describe how each is sold instead of quoting a figure.

Conclusion

Run one test before you pick. Ask the same sensitive question twice, once in a DM and once in a channel, from an account with limited access. If the channel answer reveals more than the DM does, the bot is answering with its own access, and you need to decide whether that is acceptable for the channels you plan to use.

Then pick by where your documents live: Slackbot for Slack-first teams, Notion AI for Notion, Rovo for Atlassian, Gemini Enterprise for Google, Glean for sprawling app estates. Among these seven, PromptQL fits teams that want a shared, reviewed record of how the company answers questions, scoped to each asker, with room to reach live data when a question needs it.

Frequently asked questions

Does Slack have its own AI bot for answering questions?

Yes. Slackbot is Slack's built-in AI agent. It answers from your messages, files and canvases with citations and only surfaces what you are authorized to see. Ongoing access is on Business+ and Enterprise+, with a limited trial on Free and Pro. Enterprise search across connected apps requires Enterprise+.

Do AI Slack bots train on company messages?

Slack says it does not use customer data to train LLMs and hosts its models inside its own AWS virtual private cloud. Third-party bots follow their own policies, so review each vendor's data processing terms before connecting it.

Can these bots answer in Slack Connect channels with customers?

Mostly not by default. Glean refuses to respond in channels with external members, and Notion's Slack connector does not index Slack Connect channels. PromptQL says it can be placed in a customer channel and stays scoped to that customer's data. Anything posted in a shared channel is visible to your partners, so test carefully.

Do I need a paid Slack plan?

For several of these, yes. ChatGPT's Agents app requires a paid Slack plan, and full Slackbot access needs Business+ or Enterprise+. Slack's free plan keeps only 90 days of message history, which limits what any bot can search.

How do I stop a bot from giving outdated answers?

Fix the source document the bot cites, give each key page an owner, and review a sample of answers weekly during rollout. Bots that capture corrections, like PromptQL's reviewed wiki, reduce repeat mistakes, but only if someone approves the edits.

How long does rollout take?

Installing a Slack app takes minutes. Indexing can take longer: Notion says a first full Slack index can take up to 36 hours. Most teams run a two- to four-week pilot in one channel before expanding.