What is IT Knowledge Management?
IT knowledge management involves capturing, organizing, and delivering information that helps resolve incidents, complete requests, and support business operations. It plays a central role in IT service management (ITSM), where service teams rely on documented knowledge to improve response times, reduce errors, and maintain service consistency.

Modern IT organizations rely on knowledge management not just for ticket resolution, but also for self-service portals, regulatory compliance, and business continuity. With tools like AI-generated content, intelligent search, and retrieval-based recommendations, IT knowledge can now be delivered faster and in more context-aware ways than ever before.

Core Features of Our IT Knowledge Management Service

Knowledge Capture
We also support generative AI features to help teams draft new articles based on past cases or input prompts, speeding up documentation.

Centralised Knowledge Base
This setup ensures knowledge stays consistent, easy to update, and accessible across the organization.

Smart Access Control & Multi-tenancy
Businesses that create knowledge assets accessible to customers or partners can set up multi-tenanted knowledge bases and control which knowledge assets are accessible to individual customers or customer groups.

GenAI Article Drafting

Intelligent Search and Recommendations
During live support, technicians receive contextual recommendations in real time, reducing time spent searching. These smart suggestions help resolve tickets faster and improve consistency in solutions.

Knowledge Gap Identification
An explainer video on this capability is available here.

Self-Service Enablement
During self-service engagements with the AI virtual agent, knowledge assets or specific answers contained within knowledge assets can be shared with the end-user in a conversational interface.
Retrieval-Augmented Generation (RAG)

Benefits for Your IT Organization
- Reduce ticket volume and resolution time by enabling end users and frontline agents to resolve issues faster
- Preserve institutional knowledge so teams retain critical process and system info even through staff turnover
- Improve customer satisfaction by reducing wait times and providing consistent, accurate answers
- Support faster onboarding and training by giving new hires access to structured, verified content from day one
- Enable smarter AI agents and copilots with structured data for real-time answers and automation
- Deflect tickets through self-service and proactive article suggestions
- Support continuous improvement by analyzing gaps in the knowledge base and closing them quickly
How It Works
Assessment and Planning
Start by reviewing your current documentation sources, support workflows, and content needs. This helps define your knowledge architecture and identify high-priority areas.
Content Consolidation
Centralize existing articles, known fixes, and team documents into one structured knowledge base. AI tools assist in tagging, formatting, and organizing this content for easier search and retrieval.
Configuration and Permissions
The platform is configured to reflect your access model. This includes role-based permissions, content approval workflows, versioning rules, and audit policies.
AI Enablement and Search Optimization
AI features are activated to power smart suggestions, knowledge gap analysis, and RAG-based responses. Search settings are customized to prioritize the most relevant articles based on usage data.
Self-Service Integration
Knowledge is deployed across portals and ticketing systems. Users gain access to articles based on their role, device, department, or issue type. New articles can be surfaced automatically when patterns emerge in incoming tickets.
Training and Ongoing Support
Admins and content owners are trained on content management, tagging, version control, and using GenAI tools to speed up article creation. Regular reviews help ensure the knowledge base stays useful and relevant.

Our Approach to Knowledge Management
- Built-in AI and automation to speed up content creation and improve discoverability
- Flexible permissions that ensure the right people have access to the right content
- Seamless integration with your ITSM environment for better context and faster answers
- Structured search and tagging to reduce search time and improve ticket outcomes
- Compliance-ready workflows that maintain version history and content ownership
- Deflect tickets through self-service and proactive article suggestions
- Support continuous improvement by analyzing gaps in the knowledge base and closing them quickly
Incident Response


Onboarding and Training
Compliance Management


AI Virtual Agent Support
Self-Service Portals


Change and Configuration Management
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FAQs
Tacit knowledge comes from experience. It’s often hard to write down or explain. Explicit knowledge is documented and easy to share, like manuals or articles. Implicit knowledge is knowledge that hasn’t been shared yet but could be, often uncovered during process reviews or AI feedback loops.
Modern platforms connect directly with incident, problem, change, and request workflows. Articles can surface during ticket logging or agent handling, helping resolve issues faster. Some systems use AI to match tickets with relevant content in real time.
Yes. Articles can be assigned visibility rules based on department, job title, or access level. This ensures sensitive or internal content is only available to the right people while keeping general help content open to broader audiences.
We support bulk imports using standard formats like CSV, HTML, or Markdown. Our team helps map content structure, tags, and roles. The process includes cleanup recommendations to remove duplicates or outdated articles before go-live.
Most setups are completed in under eight weeks. This includes configuration, content migration, testing, and training. Timelines vary based on the number of articles, integrations, and role-based access policies.
Yes. Our platform supports multiple languages, region-specific versions, and fallback translations. You can assign language settings by user group and maintain article versions for each supported language.
Admins can set review cycles, assign owners to content, and track article performance using analytics. AI can also flag low-performing content or suggest edits based on usage trends, unresolved tickets, or search failures.
Yes. Articles served at the point of need help deflect tickets and shorten resolution times. Agents work faster with accurate, approved content, and users find answers through self-service. This reduces pressure on service teams and improves SLA compliance.