Top 10 Enterprise Knowledge Management Systems

Enterprise knowledge management has become a bigger priority as employees use AI to find, summarize, and create information at work. 

Microsoft found that 75% of knowledge workers were already using AI at work in 2024, while 62% said they spent too much time searching for information during their workday. 

Hence. employees already spend significant time finding information, while AI is becoming a major interface for workplace knowledge. Enterprise knowledge management systems address that gap by making company information easier to find, verify, govern, and use.

A top-notch knowledge management system for enterprises can bring information from documents, wikis, business applications, policies, and internal conversations into a system employees can search and use.

What is an Enterprise Knowledge Management System?

An enterprise knowledge management system (EKMS) is software that stores, organizes, searches, and distributes an organization’s internal knowledge. The system can hold policies, SOPs, product documentation, training materials, FAQs, project records, meeting notes, customer information, and expert knowledge.

An enterprise knowledge management system gives employees a central place to find information instead of searching through separate folders, emails, chats, wikis, and business applications. Modern platforms also use AI search, natural-language queries, semantic search, knowledge graphs, document summarization, and AI assistants to retrieve information from large company repositories.

An EKMS also controls who can access, edit, approve, and publish information. Enterprise systems can apply permissions from connected applications, maintain document versions, record content changes, and route outdated information to designated reviewers.

The main purpose is to turn scattered company information into searchable and governed organizational knowledge. A good system should tell employees where information came from, respect access permissions, and keep important knowledge current.

What Does an Enterprise Knowledge Management System Store?

• Policies: HR, security, compliance, and operational policies
• SOPs: Step-by-step procedures for recurring business processes
• Product knowledge: Product specifications, manuals, release information, and troubleshooting guides
• Customer knowledge: FAQs, support solutions, account information, and service procedures
• Training content: Courses, onboarding material, guides, and internal tutorials
• Project knowledge: Project plans, decisions, meeting notes, and technical documentation
• Expert knowledge: Information contributed by employees with specialized expertise
• Company information: Organizational structures, processes, guidelines, and internal resources

How Does Enterprise Knowledge Management Work?

An enterprise knowledge management system first collects information from different sources. Depending on the platform, those sources can include SharePoint, Google Drive, Slack, Microsoft Teams, Salesforce, Jira, Confluence, CRM systems, document repositories, and internal databases.

The system then indexes and organizes the information. AI-powered platforms can identify relationships between documents, people, topics, and business processes. Semantic search can also retrieve documents based on meaning rather than exact keyword matches.

Employees can then search the knowledge base or ask questions in natural language. The system retrieves relevant information and, on AI-enabled platforms, can generate an answer using the available company knowledge.

Enterprise controls manage permissions, approvals, version history, content ownership, and knowledge reviews. Those controls prevent employees from receiving information they cannot access and give administrators a way to remove or update outdated content.

How We Picked The Best Enterprise Knowledge Base Software Tools For Businesses?

We looked at what each platform actually gives a business for storing and finding internal information. A useful enterprise knowledge base needs to handle company documents, SOPs, policies, product information, employee guides, FAQs, and other material that teams need during daily work.

Search quality came first. We looked for platforms that can search large knowledge repositories, understand natural-language questions, and return relevant information quickly. AI search, semantic search, filters, source links, and search across connected applications added value.

We checked how each platform manages content. Article editors, document categories, version history, approvals, review dates, content ownership, and duplicate detection help teams maintain a usable knowledge base as information changes.

Integrations mattered because company knowledge rarely lives in one place. We looked for connections with tools such as Slack, Microsoft Teams, Google Drive, Salesforce, Jira, Confluence, SharePoint, and other business applications. Platforms that can search connected systems reduce the need to copy the same information into several databases.

Access controls also mattered. Enterprise software needs user permissions, SSO, role-based access, audit logs, and security controls. AI search also needs permission-aware retrieval so an employee does not receive information from a document they cannot normally access.

We looked at the actual AI features rather than counting AI as a checkbox. Some platforms generate answers from company documents. Others create articles, summarize documents, identify outdated information, build AI agents, or search across several business applications. We gave higher marks to products that connect AI answers to the company’s existing knowledge.

Knowledge maintenance separated the basic tools from the enterprise products. A knowledge base becomes less useful when old policies, duplicate articles, and incorrect procedures remain in the system. We looked for verification workflows, content reviews, version control, ownership rules, and tools that identify information that needs an update.

Analytics also made a difference. Useful reports can show popular articles, failed searches, content usage, knowledge gaps, and employee search behavior. Those numbers give knowledge managers information for deciding what to update or create next.

We also compared the intended use of each product. Glean targets enterprise search across business applications. Confluence handles company documentation alongside project work. Document360 serves structured documentation and knowledge bases. Guru puts verified knowledge inside employee workflows. SharePoint handles documents, intranets, sites, and Microsoft 365 content.

Pricing and scale completed the comparison. We checked published prices where vendors disclose them and noted when a company requires a custom quote. We also looked at user limits, storage, integrations, administration, security features, and the amount of knowledge a platform can handle as a company grows.

The final list therefore includes both dedicated knowledge base products and broader enterprise platforms. Each tool earns its place for a specific combination of search, content management, AI, governance, integrations, security, and price.

Best AI Knowledge Management Software Tools

Here are the best enterprise knowledge management tools reviewed and compared:

1. Glean

Website: Glean

Glean is an enterprise knowledge management and workplace search platform. It searches information across 100+ applications and uses an Enterprise Knowledge Graph to connect people, content, and company activity. Glean supports permissions-aware search, AI answers, document summaries, Glean Chat, and AI Agents. Its connector library includes applications such as Slack, Google Drive, Salesforce, Jira, Confluence, Microsoft SharePoint, and Zendesk.

Features

• Enterprise search
• Enterprise Knowledge Graph
• AI answers
• Glean Chat
• AI Agents
• Document summaries
• Permissions-aware search
• Real-time indexing
• 100+ application connectors
• Knowledge discovery
• Personalized search

Pros

• Searches information across many business applications
• Keeps existing application permissions during search
• Connects people, documents, and business context through the Knowledge Graph
• Supports both employee search and AI agents

Cons

• Glean uses custom enterprise pricing
• Large deployments need connector and permission planning
• Companies with simple documentation needs may not need its broader search infrastructure

Pricing: Custom pricing.

2. Bloomfire

Website: Bloomfire

Bloomfire is an AI-powered knowledge management system for enterprise teams. Its platform includes a Self-Healing Knowledge Base, AI-Powered Enterprise Search, AI-Powered Authoring Tools, Q&A Collective Knowledge Engine, Learn & Confirm Knowledge Checks, and Analytics Suite. Bloomfire also provides Data Readiness for AI, which prepares company knowledge for AI applications and enterprise search.

Features

• AI-powered knowledge management
• Self-Healing Knowledge Base
• AI-powered enterprise search
• AI-powered authoring
• Q&A Knowledge Engine
• Knowledge verification
• Learn & Confirm
• Analytics Suite
• Data Readiness for AI
• SSO
• SCIM
• Encryption

Pros

• Provides a dedicated enterprise knowledge base
• Uses knowledge checks to verify information
• Flags knowledge that needs review
• Provides analytics on knowledge usage
• Supports enterprise security controls

Cons

• Bloomfire uses custom pricing
• Teams need to maintain knowledge ownership and review processes
• The platform may provide more functionality than a small company needs

Pricing: Custom quote.

3. Confluence

Website: Confluence

Confluence is an enterprise knowledge management and collaboration platform from Atlassian. Teams use Confluence for wikis, documentation, pages, databases, whiteboards, project information, and company knowledge. Atlassian’s Rovo adds AI Search, Rovo Chat, and Rovo Agents, while integrations with Jira and other Atlassian products connect project information with documentation.

Features

• Enterprise wiki
• Documentation
• Pages
• Databases
• Whiteboards
• Rovo AI Search
• Rovo Chat
• Rovo Agents
• Jira integration
• Workflow automation
• Permissions
• Enterprise administration

Pros

• Supports structured company documentation
• Connects closely with Jira
• Rovo searches information across connected applications
• Databases provide structured knowledge storage
• Enterprise plans include administrative controls

Cons

• Atlassian users get the most value from its integrations
• Large workspaces need clear page and database structures
• Advanced Rovo capabilities require eligible plans

Pricing: Free plan available. Paid plans start at $5.42/user/month.

4. Microsoft SharePoint

Website: Microsoft SharePoint

Microsoft SharePoint is an enterprise content management and knowledge management platform within Microsoft 365. SharePoint provides sites, pages, document libraries, lists, intranets, permissions, and enterprise search. Microsoft 365 Copilot adds AI capabilities to SharePoint, while SharePoint agents can answer questions using permitted company sites, pages, lists, and files.

Features

• Enterprise content management
• Intranet sites
• Document libraries
• Pages
• Lists
• Enterprise search
• Microsoft 365 Copilot
• SharePoint agents
• Permissions
• Workflow automation
• Content governance
• Microsoft Teams integration

Pros

• Integrates directly with Microsoft 365
• Uses Microsoft permissions for content access
• Handles large document repositories
• SharePoint agents can use company content as knowledge
• Supports detailed content governance

Cons

• Large SharePoint environments need careful information architecture
• Administration can become complex
• Copilot features require additional licensing

Pricing: SharePoint Plan 1 starts at $5/user/month.

5. Guru

Website: Guru

Guru is an enterprise knowledge management platform built around verified company information. Its Knowledge Cards store answers, procedures, policies, and other internal information, while its AI search retrieves knowledge from Guru and connected applications. Guru also provides verification workflows, knowledge analytics, browser access, Slack integration, and Microsoft Teams integration.

Features

• Enterprise knowledge management
• Knowledge Cards
• AI search
• Knowledge verification
• Automated suggestions
• Browser extension
• Slack integration
• Microsoft Teams integration
• Analytics
• Knowledge governance
• Expert identification
• Enterprise security

Pros

• Knowledge Cards give teams a structured format for internal information
• Verification workflows identify information that needs review
• AI search retrieves company knowledge through natural-language questions
• Slack and Teams integrations put knowledge inside employee workflows

Cons

• Per-user pricing increases with employee count
• Teams need owners for knowledge verification
• Companies with large document archives may need additional content-management systems

Pricing: Starts at around $25/user/month; enterprise pricing is available by quote.

6. Notion Enterprise

Website: Notion

Notion Enterprise is a knowledge management workspace for docs, wikis, projects, and databases. Notion AI adds Enterprise Search, AI Meeting Notes, Research Mode, and AI writing and analysis. Teams can use databases for structured information and linked pages for policies, processes, project documentation, and internal wikis.

Features

• Enterprise wiki
• Docs
• Databases
• Projects
• Notion AI
• Enterprise Search
• AI Meeting Notes
• Research Mode
• Templates
• SAML SSO
• SCIM
• Audit logs
• Admin controls

Pros

• Supports both structured databases and traditional documentation
• Enterprise Search retrieves information across connected workspaces
• AI works directly inside company documents
• Teams can manage projects and knowledge in the same workspace
• Enterprise provides advanced security and administration

Cons

• Flexible structures can create inconsistent documentation
• Large workspaces need clear ownership and governance
• Enterprise pricing requires a sales conversation

Pricing: Custom enterprise pricing.

7. Document360

Website: Document360

Document360 is an AI-powered knowledge base platform for internal and external documentation. Teams can use it for SOPs, API documentation, user manuals, FAQs, product documentation, and employee knowledge bases. The platform includes AI-powered search, AI chatbots, article generation, version control, workflow automation, duplicate content detection, analytics, and access controls.

Features

• Internal knowledge base
• Customer knowledge base
• SOP documentation
• API documentation
• User manuals
• AI-powered search
• AI chatbot
• Article generation
• Version control
• Duplicate content detection
• Workflow automation
• Analytics
• Access controls
• FAQs and glossaries

Pros

• Supports several types of structured documentation
• Version control records documentation changes
• Duplicate content detection identifies repeated articles
• AI search gives employees conversational access to documentation
• Supports internal and customer-facing knowledge

Cons

• The platform centers on structured documentation
• Advanced capabilities require higher plans
• Large enterprises may need integrations with additional workplace systems

Pricing: Starts at around $199/project/month.

8. Helpjuice

Website: Helpjuice

Helpjuice is a knowledge base platform for employees and customers. Its system stores articles, FAQs, procedures, and documentation in a searchable knowledge base. Helpjuice includes AI Search, AI Writer, AI Chatbot, article translation, live collaboration, workflows, version history, analytics, SSO, and custom design.

Features

• Employee knowledge base
• Customer knowledge base
• AI Search
• AI Writer
• AI Chatbot
• Article translation
• Live collaboration
• Workflows
• Version history
• Analytics
• SSO
• Custom design
• Localization

Pros

• Supports both internal and customer-facing knowledge
• AI Search handles natural-language questions
• Version history records changes to documentation
• Teams can customize the knowledge base interface
• Translation tools support multilingual documentation

Cons

• Pricing starts higher than many basic wiki products
• AI features vary by plan
• The platform centers on knowledge-base management rather than broader workplace collaboration

Pricing: Starts at $249/month for 30 users.

9. Slab

Website: Slab

Slab is an internal knowledge base for company documentation. Teams create posts and organize them into Topics, while search retrieves information from the knowledge base and connected services. Slab integrates with tools such as Slack, GitHub, and Google Drive, and its enterprise plan adds SSO, advanced permissions, analytics, and security controls.

Features

• Internal knowledge base
• Posts
• Topics
• Search
• Slack integration
• GitHub integration
• Google Drive integration
• SSO
• Permissions
• Analytics
• Enterprise security
• Documentation management

Pros

• Gives companies a dedicated internal documentation system
• Topics organize related information
• Integrations connect company knowledge with other applications
• Search retrieves stored documentation quickly
• Enterprise controls support larger deployments

Cons

• Slab has a narrower scope than Microsoft 365 or Notion
• Enterprise pricing requires a sales conversation
• Complex document-management requirements may need another platform

Pricing: Free plan available. Paid plans start at $6.67/user/month when billed annually.

10. eGain AI Knowledge Hub

Website: eGain AI Knowledge Hub

eGain AI Knowledge Hub is an enterprise knowledge management system for customer service and AI applications. It connects information from SharePoint, CRM systems, product documentation, policies, intranets, and legacy knowledge bases. The platform uses AI for knowledge creation, curation, search, governance, and delivery to customer-service employees, customers, and AI agents.

Features

• AI Knowledge Hub
• Enterprise knowledge integration
• AI-assisted knowledge creation
• Expert knowledge curation
• Knowledge search
• Content workflows
• Knowledge governance
• AI agent knowledge
• Customer-service knowledge
• Enterprise integrations
• Knowledge analytics

Pros

• Connects information stored across different enterprise systems
• AI assists with knowledge creation and curation
• Workflows control knowledge updates
• Supports knowledge delivery to AI agents
• Fits customer-service knowledge environments

Cons

• Enterprise pricing requires a sales process
• The platform targets complex knowledge environments
• Customer-service use cases account for a large part of its product scope

Pricing: Custom enterprise pricing.

How to Pick The Best Knowledge Management Tool

The right knowledge management tool should fit your business structure, knowledge workflow, team size, and future growth. Compare tools based on how your company creates, manages, and uses knowledge rather than choosing the platform with the longest feature list.

1. Define Who Will Use It

List the teams that will use the platform and what each team needs from it. HR may need policy documents, sales may need product and pricing information, while support teams may need troubleshooting guides and customer answers.

Choose a platform that supports the number of users, departments, locations, and external users you expect to add.

2. Decide What Type of Knowledge You Need

A company wiki, employee knowledge base, customer help center, technical documentation system, and enterprise search platform solve different problems.

Choose based on your main content type:

• Employee knowledge: Policies, procedures, onboarding, and internal guides
• Technical knowledge: API documentation, developer guides, and product manuals
• Customer knowledge: FAQs, tutorials, troubleshooting, and support articles
• Enterprise knowledge: Information spread across several business systems
• Expert knowledge: Internal expertise, answers, decisions, and institutional knowledge

3. Examine The Content Structure

Look at how the platform organizes information. Check categories, folders, spaces, tags, databases, collections, templates, and cross-links.

A good structure should let employees reach related information without creating dozens of disconnected pages.

4. Check Authoring And Publishing

Consider who will create and approve knowledge. A large company may need separate roles for writers, editors, reviewers, publishers, and administrators.

Check whether the platform supports drafts, approvals, scheduled publishing, article ownership, and review cycles.

5. Consider Migration

Moving existing knowledge can become a major project. Find out which formats the platform can import and how it handles PDFs, Word documents, HTML pages, wikis, spreadsheets, images, and existing knowledge bases.

Ask the vendor how it preserves links, formatting, metadata, permissions, and document history during migration.

6. Evaluate Collaboration

Knowledge can come from many employees, not only dedicated documentation teams. Look for comments, mentions, Q&A, suggestions, reactions, expert identification, collaborative editing, and feedback tools if your organization needs them.

These features can help teams capture information that never reaches formal documentation.

7. Check Multilingual Support

Global companies may need the same knowledge in several languages. Check supported languages, machine translation, human translation workflows, multilingual search, and how the system handles different versions of the same article.

8. Review Mobile And Remote Access

Check how employees access knowledge outside a desktop browser. Look for mobile applications, responsive pages, offline access, browser extensions, and integrations with workplace chat tools.

The access method should match where employees actually work.

9. Examine Administration

Someone will manage users, content, integrations, permissions, and system settings after deployment.

Check the admin dashboard, bulk actions, user provisioning, usage controls, system logs, configuration options, and administrative reporting before choosing a platform.

10. Calculate The Implementation Work

The subscription price does not show the full cost of a knowledge management project.

Estimate the work required for content migration, information architecture, integrations, permissions, employee training, content cleanup, and ongoing administration. A tool with fewer features can make more sense if your team can deploy and maintain it with less work.

FAQs About Enterprise Knowledge Management Tools

What is the difference between a knowledge base and a knowledge management system?

A knowledge base mainly stores and presents information such as articles, FAQs, guides, and documentation. A knowledge management system covers a wider set of activities, including knowledge creation, sharing, discovery, verification, collaboration, governance, and analysis.

How long does it take to implement an enterprise knowledge management system?

Implementation can take several weeks to several months. A small internal knowledge base may launch quickly, while a large enterprise deployment can take longer because teams need to migrate content, connect business applications, configure permissions, create the information structure, and train employees.

Who should own an enterprise knowledge management system?

A knowledge manager, operations team, IT team, or dedicated documentation team can own the system. Individual departments should still own the accuracy of their content because HR, legal, finance, product, and support teams have different subject-matter responsibilities.

How do I measure the success of a knowledge management system?

Track metrics such as search success rate, unanswered searches, time spent finding information, article usage, employee adoption, content freshness, support ticket deflection, and repeated questions. Compare the metrics before and after implementation to see if the system reduces information gaps.

What happens when employees leave the company?

A good knowledge management process preserves important information created by departing employees. Teams should transfer ownership of their documents, capture critical expertise before departure, review private or personal content, and keep business knowledge under company-controlled accounts rather than individual accounts.