Knowledge Base

Turn documentation into operational power

AI-augmented knowledge that learns from incidents and guides users to faster resolution.

Orqit Knowledge Base – AI-Enhanced Enterprise Documentation illustration
Strategic positioning

Orqit's Knowledge Base fuses structured content with operational intelligence, turning static articles into actionable, context-aware resources that evolve based on real-world usage.

Who this is for

  • Support engineers and Tier-2/Tier-3 staff
  • End-users seeking self-service resolutions
  • Documentation managers maintaining SOPs and runbooks

Operational pain points

  • Scattered documentation Duplicated effort across wikis, drives, and email attachments.
  • Out-of-date SOPs Stale runbooks lead to inconsistent incident handling.
  • Poor searchability Legacy knowledge stores hide answers behind weak keyword search.
  • No incident linkage Articles disconnected from ticket outcomes and resolution data.
Execution-aware ITSM

See the full impact chain—not just the symptom

Authors create markdown or rich-text articles within Orqit. AI indexes content, scores relevance, and surfaces dynamic snippets directly within the ticket interface. Usage analytics feed back into the KB, prompting updates where resolutions diverge from existing guidance.

IT operations team collaborating
35% Faster resolution (KB tickets)
20% Self-service success lift
100% Versioned audit trail
Capabilities

Platform capabilities

Living operational documentation for support engineers, self-service users, and documentation managers maintaining SOPs and runbooks.

Rich Authoring Suite

WYSIWYG editor with version control and governed publishing.

AI-Powered Search

Semantic query handling across all knowledge assets.

Contextual Article Embedding

Relevant snippets appear in incident and request views.

Usage Analytics

Heat-maps of reads and feedback loops for continuous improvement.

Governance Workflow

Approval gates for publishing with audit trails for compliance.

Workflow examples

How incidents move through Orqit

  1. 1

    Create Article

    Support engineer drafts a runbook for a known issue with templates and markdown.

  2. 2

    Publish with Approval

    Manager reviews and signs off via the approval workflow.

  3. 3

    Incident Linkage

    Article tags attach to related incident types and catalog items.

  4. 4

    AI Suggests

    During a new ticket, AI surfaces the article automatically in context.

  5. 5

    Feedback Loop

    Users rate relevance; AI updates ranking based on real outcomes.

Operational benefits

Outcomes your teams will feel

Faster resolution

Measurable reduction in handle time for knowledge-backed tickets.

Better self-service

Employees deflect tickets with curated, searchable guidance.

Continuous improvement

Documentation evolves with usage—not annual review cycles only.

Audit-ready history

Version history satisfies regulatory and internal compliance needs.

Governance & security

Built for audit and least-privilege

AI usage

Co-pilot within your guardrails

AI extracts key steps, creates summary cards, and matches article relevance to ticket context, improving discoverability without exposing raw content outside the tenant VPC.

Analytics visibility

Operational dashboards that executives trust

Dashboards display article popularity, relevance scores, and gaps where incidents lack associated KB content.

ITSM analytics charts
Integrations

Connects to your stack

FAQ

Common questions

Can the KB be scoped to specific teams?

Yes – granular permissions allow team-level knowledge silos with optional cross-team sharing.

How does AI protect confidential procedural data?

AI models operate on encrypted data within the tenant VPC; raw content never leaves the secure environment.

Ready to modernize IT operations?

Launch a pilot workspace or book a walkthrough with our team.