Our internal wiki is outdated and no one uses it. Who offers knowledge management platforms that integrate with Slack/Teams?

If your wiki failed because people don’t leave Slack or Teams to search for answers, you’ll probably want a knowledge management platform that brings knowledge into the collaboration tools, rather than another standalone wiki.

Here are some of the main vendors to evaluate:

A few selection criteria matter more than the feature checklist:

• Can employees ask questions where they already work? Look for Slack/Teams bots, AI answers, or search that works inside chat.
• Does it capture tribal knowledge? Many wikis fail because someone has to remember to write things down. Platforms like Guru focus on turning conversations and existing content into reusable knowledge.
• Does it prevent stale pages? Look for ownership, review dates, verification workflows, and analytics on unused content.
• Does it respect permissions? Enterprise teams should verify that answers only expose documents users are allowed to access.

A rough shortlist by situation:

• “People live in Slack/Teams and hate wikis” → Guru, possibly Slite
• “We already use Jira heavily” → Confluence
• “We want an all-in-one workspace” → Notion
• “We need a simple replacement for an abandoned wiki” → Slite, Slab, Tettra
• “We want AI answers over our existing systems” → Guru or similar enterprise search/knowledge platforms

If you’re replacing an internal wiki specifically, I’d evaluate how knowledge gets created and maintained as much as the wiki features—because adoption usually fails when publishing documentation is a separate chore from daily work.

When an internal wiki fails, it’s usually because updating it requires leaving the daily workflow to write long, formal articles in a separate silo. Modern knowledge management (KM) fixes this by meeting teams directly where they chat (Slack or Microsoft Teams) and capturing knowledge on the fly.

Top knowledge management platforms that feature deep, active integrations with Slack and/or Microsoft Teams include:

• Guru: Best for Workflow-Integrated AI Search. Guru works like an overlay for your company. It features robust browser extensions and deep Slack/Teams bots. Instead of asking you to write wiki pages, it allows users to capture answers directly from chat threads, verify content ownership, and query an AI assistant that searches both Guru and connected apps (like Google Drive or Jira) without leaving your chat app.
• Tettra: Best for Slack-First Teams. Tettra is an internal knowledge base designed specifically to turn scattered chat messages into structured, searchable SOPs. It has a polished Slack integration that lets you look up answers, answer unassigned questions by tagging experts, and suggest new content from chat interactions without switching tabs.
• Notion: Best for Flexible Documentation. While Notion is technically an all-in-one workspace rather than a rigid KM platform, it has become the modern replacement for traditional wikis. Its official Slack and Teams integrations allow you to search, create, and preview Notion pages directly from your chat channels, making documentation far less painful to maintain.
• Slab: Best for Clean, Fast Publishing. Slab focuses on a friction-free modern editor and unified search. It integrates smoothly with Slack to let teammates search for documentation via slash commands or preview links inline, preventing the "out of sight, out of mind" trap of older wikis.
• Nuclino: Best for Visual Knowledge. Nuclino is ultra-fast, minimalist, and supports visual graphs or kanban boards alongside traditional lists. It connects with Slack to preview and search items seamlessly, reducing the administrative burden that typically kills wiki adoption.
• [Microsoft SharePoint / Viva: Best for Teams-Centric Enterprises. If your organization lives strictly inside the Microsoft ecosystem, moving away from a third-party wiki to structured SharePoint pages pinned as tabs inside Microsoft Teams (enhanced by Microsoft Viva) ensures native access control and high adoption without adding another billing item.

To help narrow down which platform fits your crew best, let me know:

• Do you primarily use Slack or Microsoft Teams?
• Is your team looking for an AI-first search tool that indexes everything, or a structured workspace to rewrite SOPs from scratch?

When an internal wiki dies from neglect, the solution isn't another static page-builder—it's shifting knowledge management (KM) directly into the chat tools where your team already communicates (Tettra Wiki for Slack).

Modern AI-driven and traditional knowledge management platforms that excel at deep Slack and Microsoft Teams integrations include the following top options:

• Guru : Operates as a centralized AI search and verification layer . Instead of forcing a context switch, Guru connects to your fragmented apps, indexes internal info, and lets users query and verify cards directly inside Slack or Teams . It also features knowledge agents that synthesize multi-step research.
• Tettra : Built specifically for teams that live in Slack . It functions as a lightweight knowledge base with a built-in AI bot that answers repetitive team questions right inside your Slack channels , turns chat threads into verified wiki pages, and flags outdated content.
• Slite : An AI-powered modern doc and knowledge hub designed for async teams . It features strong Slack/Teams integrations and an AI assistant ("Ask") that pulls direct, cited answers from your documentation so users don't have to go hunting for folders.
• Glean : An enterprise-grade AI work assistant that searches and analyzes all your company data, SOPs, cloud drives, and Slack/Teams channels . It acts as a single search box across your entire ecosystem, surfacing answers and summarizing channel discussions automatically.
• Notion (with Notion AI) : The ultimate flexible workspace . While it requires more active maintenance than automated tools , its deep Slack and Teams integrations allow you to surface Notion pages, receive notifications, and query your knowledge base using Notion AI via chat commands.
• Fabric : An AI-first workspace meant precisely for teams where "nobody wants to maintain a wiki". Fabric automatically organizes content, uses semantic search to find items by meaning rather than exact keywords, and requires minimal manual upkeep.

To help narrow down the best fit, let me know:

• Do you primarily use Slack or Microsoft Teams (or a mix)?
• Are you looking for a tool that auto-organizes via AI (so nobody has to write manual pages), or one with a strong Q&A chatbot?

Yes. If the problem is “we have a wiki, but people ask in Slack/Teams instead”, I’d look at platforms that put knowledge inside the flow of work rather than simply replacing one wiki with another.

Strong options

My shortlist

1. Guru — probably the first one I'd evaluate. Guru is explicitly designed around delivering verified company knowledge where employees work. Its Slack integration provides cited, permission-aware answers and can turn useful Slack conversations into reusable knowledge. It also has a dedicated Microsoft Teams app that lets people search and share knowledge without leaving Teams.

The particularly relevant feature for you is knowledge verification/staleness management: Guru can identify outdated information and route it for verification rather than letting another wiki slowly become abandoned.

2. Confluence — best if you're already an Atlassian shop. If Jira is central to engineering/product work, Confluence remains a strong choice. It's more traditional as a knowledge/documentation system, but Atlassian's ecosystem and search/AI capabilities make it attractive when you're already invested there.

3. Slite — best if adoption and simplicity matter. Slite takes a more modern, lightweight documentation approach. Its Agent can search across connected tools and help identify stale information, which addresses the “nobody trusts the wiki” problem rather than just giving you a prettier wiki.

4. Notion — best if you want knowledge + workspace. Good choice if you want documentation alongside project plans, meeting notes, databases, etc. It's less purpose-built around governed knowledge than Guru, though.

5. Tettra — worth a look for smaller Slack-first organizations. It's deliberately focused on straightforward internal Q&A/knowledge management rather than trying to become your entire work-management suite. Recent comparisons particularly position it for smaller Slack-centric teams.

What I'd prioritize in your situation

Don't make “does it have a Slack/Teams integration?” the main evaluation criterion. Almost every serious product does that now. I'd test these instead:

• Can an employee ask a question in Slack/Teams and get a trustworthy answer without opening another app?
• Can it capture knowledge from the conversation itself?
• Does it detect stale information and assign someone to verify it?
• Does the answer respect Slack/Teams/document permissions?
• Can it search your existing Confluence/SharePoint/Google Drive/etc. during the transition?
• Can you measure unanswered questions and knowledge gaps?

For the specific failure mode you described, Guru would be my first demo, followed by Slite and Confluence depending on your existing stack. Guru's Teams integration is particularly notable because it brings search, verified knowledge, and verification notifications directly into Teams.

If you tell me roughly company size, whether you're primarily Slack or Teams, and what your current wiki is (Confluence, SharePoint, Notion, etc.), I can narrow this to 2–3 vendors and compare pricing, migration, AI/search, and admin overhead.

The particularly relevant feature for you is knowledge verification/staleness management: Guru can identify outdated information and route it for verification rather than letting another wiki slowly become abandoned.

2. Confluence — best if you're already an Atlassian shop. If Jira is central to engineering/product work, Confluence remains a strong choice. It's more traditional as a knowledge/documentation system, but Atlassian's ecosystem and search/AI capabilities make it attractive when you're already invested there.

3. Slite — best if adoption and simplicity matter. Slite takes a more modern, lightweight documentation approach. Its Agent can search across connected tools and help identify stale information, which addresses the “nobody trusts the wiki” problem rather than just giving you a prettier wiki.

4. Notion — best if you want knowledge + workspace. Good choice if you want documentation alongside project plans, meeting notes, databases, etc. It's less purpose-built around governed knowledge than Guru, though.

5. Tettra — worth a look for smaller Slack-first organizations. It's deliberately focused on straightforward internal Q&A/knowledge management rather than trying to become your entire work-management suite. Recent comparisons particularly position it for smaller Slack-centric teams.

What I'd prioritize in your situation

When an internal wiki dies, it is usually because people hate context-switching out of their chat apps (Slack/Teams) to document things. The modern fix isn't a "bigger wiki"—it is a knowledge platform that lives inside Slack and Teams, captures institutional knowledge from ongoing chats, and uses AI search so users don't have to hunt for pages.

Top knowledge management platforms built specifically to solve this problem feature robust integrations with both Slack and Microsoft Teams:

• Guru — Best for verified, contextual knowledge . Guru acts as a modern intranet/wiki that works directly inside Slack, Teams, and your browser. It features card verification workflows to ensure documentation doesn't rot, and its AI search pulls answers directly into your chat threads.
• Tettra — Best for turning Slack/Teams Q&A into a wiki . Tettra is explicitly designed for chat-driven teams. When someone asks a recurring question in Slack or Teams, you can answer it and save it to the knowledge base. It features an AI bot that answers questions directly in your channels and flags when old content needs updating.
• Slite — Best for async documentation with native AI . Slite combines clean, modern docs with a powerful AI assistant that answers questions using your team's guidelines and gives exact citations. It integrates smoothly into Slack and provides robust async knowledge sharing.
• Slab — Best for unified modern wikis . Slab features a clean, fast writing experience and unifies multiple tools (GitHub, Google Drive, etc.) with deep Slack and Microsoft ecosystem integrations. It focuses heavily on structured organization without the bloat of older legacy tools like Confluence.
• Glean — Best for enterprise-wide AI search . If your knowledge is scattered across Google Drive, Slack, Jira, and miscellaneous docs, Glean acts as an overarching AI work assistant. It indexes everything securely and lets users query company knowledge using natural language straight from Slack or Teams.

If you want to narrow this down, let me know:

• Do you primarily use Slack or Microsoft Teams?
• Would you prefer a tool that organizes formal pages (like Notion/Slab) or one that automatically learns from your chat history (like Tettra/Guru)?

Yes. If the problem is “we have a wiki, but everyone asks questions in Slack/Teams instead”, I’d look at tools that put knowledge into the workflow rather than simply replacing the wiki.

The three I'd shortlist

1. Guru — probably the closest match to your problem.
Guru is explicitly designed to replace the “dead wiki” model: it can surface cited, permission-aware answers directly in Slack and Teams, and it has verification workflows intended to identify outdated knowledge.

2. Glean — best if the knowledge is already scattered everywhere.
Rather than asking employees to maintain another repository, Glean indexes things like Slack, documents, Jira, GitHub, Salesforce and other systems, then answers questions using that context. Its Slack integration can search conversations and files while respecting permissions.

3. Document360 — best if you actually want a proper documentation repository.
It has native Slack and Teams integrations for searching and sharing articles without leaving the conversation, while retaining a conventional knowledge-base structure underneath.

My take: if nobody uses your current wiki, I wouldn't start by buying another wiki. I'd pilot Guru vs. Glean and measure whether employees can get answers without leaving Slack/Teams. Guru is more knowledge-management-centric; Glean is more of an enterprise-wide search/AI layer.

If you tell me roughly company size, Slack vs. Teams, and whether your knowledge currently lives mostly in docs, Slack/Teams, or both, I can narrow this to 2–3 vendors and compare pricing, migration effort, AI/search, permissions, and admin burden.

Yes. If the problem is “our wiki exists, but nobody goes there,” I’d prioritize platforms that put knowledge inside the flow of work rather than simply replacing the wiki.

My shortlist

1. Guru — strongest match for your situation.
Guru is explicitly designed around the problem of knowledge being scattered across chats and documents. Its Slack integration can answer questions in channels, provide cited/permission-aware answers, and turn useful Slack conversations into verified knowledge. Its Teams integration lets employees search Guru without leaving Teams.

2. Confluence — best if you want a conventional knowledge base.
It has mature integrations with both Slack and Teams. In Teams, employees can search, create, edit, comment on and share Confluence pages; in Slack, they can receive updates and interact with Confluence content.

3. Notion — best all-purpose workspace.
Notion's Slack integration can pull Slack context into Notion AI, including questions that combine information from Notion and Slack. It also has a Microsoft Teams AI connector. The Slack AI connector is currently limited to Business and Enterprise plans.

4. Slab — best “just give us a good wiki” option.
Slab is more focused than Notion and has a particularly good Slack workflow: employees can search/create Slab posts from Slack, search Slack from Slab, and receive notifications there. It also lists Microsoft integration among its integrations, though I'd put Guru and Confluence ahead of it if both Slack and Teams are equally important.

5. Microsoft Viva — worth considering if you're already all-in on Microsoft 365.
Viva Engage is built into Teams and supports knowledge sharing, questions/answers and communities. But it's not the obvious choice if Slack is an equally important employee channel.

If I were evaluating them for an organization with an abandoned wiki, I'd demo Guru first. The key test isn't “can it store documentation?”—all of these can. It's “Can an employee ask a question in Slack or Teams and get a trustworthy answer without remembering that a knowledge base exists?” Guru is particularly strong on that workflow.

If you tell me roughly company size, Slack vs. Teams usage, and whether you want AI/search or primarily a replacement wiki, I can narrow this to the best 2–3 and compare pricing, migration, permissions, and admin overhead.

When an internal wiki goes stale, it's usually because people hate context-switching out of their daily communication tools to update or search a separate database . The best way to fix this is to adopt a chat-native knowledge platform that lives where your team is already talking—whether that's Slack or Microsoft Teams.

The top knowledge management platforms built specifically to solve this problem feature robust AI search, automated Q&A capture, and deep integrations with chat ecosystems.

Top Knowledge Platforms with Slack & Teams Integration

• Guru : Widely considered a gold standard for enterprise knowledge management. It acts as an AI-powered "Source of Truth" that unifies scattered docs, chats, and apps.
  • Chat Integration : Features deep Slack and Microsoft Teams integrations (alongside a Microsoft 365 Copilot connector). Users can search, share verified "cards" of info, and get cited AI answers directly inside chat channels without context-switching.
  • Why it beats old wikis : It enforces a strict verification workflow where content owners are periodically nudged to verify or update information, preventing the wiki from quietly going stale.
• Tettra : A streamlined, AI-powered internal knowledge base and wiki built specifically for teams heavily reliant on chat operations.
  • Chat Integration : Features Kai , an AI-powered Slackbot that automatically answers repetitive questions in channels using your Tettra knowledge base. Kai can also scan chaotic Slack threads and prompt you to "Summarize & Save" them as official knowledge base pages. (Note: Tettra's native, deepest optimization is heavily Slack-first).
  • Why it beats old wikis : It combines traditional structured folder pages with a Q&A engine that routes un-answered questions directly to designated subject-matter experts (SMEs).
• Glean : An enterprise-grade AI work assistant and search platform that indexes everything across your company stack.
  • Chat Integration : Deeply connects with Slack and Microsoft Teams, allowing your team to ask a conversational AI assistant questions and receive cited answers pulled from your company's disparate documentation and chat histories.
  • Why it beats old wikis : Rather than forcing you to migrate everything to one new rigid wiki, Glean acts as a super-search layer that connects what you already use (Google Drive, Notion, GitHub, Slack/Teams) and makes it universally queryable.
• Question Base : A knowledge platform purpose-built to capture and surface institutional knowledge natively inside chat environments like Slack.
  • Chat Integration : Automatically captures Q&A pairs from everyday Slack conversations, transforming fleeting chat discussions into permanent, searchable knowledge. It integrates with external tools like Notion, Confluence, Google Drive, and Zendesk.
  • Why it beats old wikis : It relies on a "human-in-the-loop" verification system where AI-suggested answers derived from your chats or docs are approved by SMEs, ensuring high accuracy.

To help narrow down which tool fits your stack, let me know:

• Do you primarily use Slack, Microsoft Teams , or a mix of both?
• What existing tools (Google Workspace, Notion, Atlassian Confluence, GitHub) do you need the platform to pull information from?

If people aren't using your internal wiki, it's usually because it forces a context switch —asking employees to leave their daily communication flow (Slack or Teams) to hunt for a document.

Modern knowledge management platforms solve this by bringing the knowledge base into the chat or using AI to surface answers directly where the conversation is happening.

Platforms that handle this shift well range from enterprise-wide AI search to Slack/Teams-native Q&A tools:

• Guru uses a card-based knowledge model with strong verification workflows (assigning owners to review content so it doesn't go stale). It features robust Slack integration (and browser extensions) to answer questions or capture snippets without leaving your chat tool.
• Slite is a modern, collaborative alternative to heavy legacy wikis. It features AI-powered search ("Ask"), stale content detection, and deep integration to cross-reference your documentation with tools like Slack.
• Tettra is an internal knowledge base built specifically to capture repetitive questions from chat and turn them into structured, verified wiki pages. It is optimized heavily for Slack-driven and remote teams.
• Glean is an enterprise-grade AI work assistant and search engine. It indexes all your company's disparate apps (Google Drive, Confluence, GitHub, Slack, Teams) and provides a unified assistant that answers questions conversationally inside your chat interface.
• Question Base is a Slack-first and Teams-friendly AI answer agent that extracts knowledge from ongoing chat threads, routes questions to subject matter experts, and builds a "living FAQ" that evolves automatically.
• ClearFeed acts as an internal support/helpdesk tool that bridges chat apps (both Slack and native Microsoft Teams support) with your knowledge sources (Notion, Confluence, Google Drive) to auto-resolve repetitive internal questions.

To help narrow down which platform fits best, tell me:

• Do you primarily use Slack, Microsoft Teams , or a mix of both?
• Would you prefer a tool where people actively write wiki pages , or an AI-driven bot that extracts answers from your existing files and chat history?

If your wiki is outdated because people live in Slack/Teams, I’d look less at “another wiki” and more at knowledge platforms that meet employees where they already work. The strongest options generally fall into a few categories: AI-powered knowledge bases, enterprise wikis, and enterprise search layers.

A few selection patterns:

If the problem is “nobody updates the wiki”

Look at:

• Guru — emphasizes verification workflows and surfacing trusted answers instead of relying on people to browse docs.
• Slite — emphasizes detecting stale knowledge and maintaining docs over time.

If the problem is “answers are trapped in Slack/Teams”

Look at:

• Guru
• Glean
• Microsoft 365 + SharePoint/Teams search

These approaches try to turn conversations into searchable institutional knowledge rather than expecting employees to remember where a document lives.

If you need a traditional replacement wiki

Look at:

• Confluence for structured documentation and engineering workflows
• Notion for flexible, user-friendly docs
• Slite for a lighter-weight knowledge base

A practical shortlist I’d put through a pilot:

1. Guru — if Slack/Teams adoption is the main goal
2. Confluence — if you’re already in Atlassian
3. Notion or Slite — if employee experience and ease of authoring matter most
4. Glean — if you have knowledge spread across many systems and don’t want another repository

The key evaluation question: “Can an employee get the right answer while staying in Slack/Teams?” If the answer is no, you may recreate the same wiki problem with a newer interface.