Overview
Preserving knowledge as teams and operations change
Organizations solve the same problems repeatedly, but the knowledge often stays buried in tickets, emails, notes, and operational documents. When experienced staff leave, that knowledge leaves with them. Manual authoring can’t keep pace with service volume, so knowledge bases fall behind, support teams recreate solutions that already exist, and service quality slips. Public AI tools aren’t an option for much of this work, because sensitive data carries real security, privacy, and compliance constraints.
Business Benefits
Faster issue resolution
Service agents and support teams find approved, proven solutions quickly instead of starting from scratch.
Improved self-service
Employees and end users get immediate access to trusted knowledge and guided assistance.
Knowledge continuity
Capture institutional knowledge before it is lost and reduce the impact of workforce turnover.
Reduced operational costs
Automate knowledge creation without expanding authoring teams or paying recurring token fees.
Audit-ready governance
Keep approval records, consistent formatting, and traceability across everything you publish.
Data sovereignty
Keep AI operations, data, and decisions under your organization’s direct control.
FEATURES
Automated knowledge mining
Discover recurring issues, identify proven resolutions, and surface reusable insight from operational data.
KCS-aligned article generation
Draft consistent, KCS-aligned articles with standardized structure, formatting, metadata, and governance controls.
Human-in-the-loop validation
SME review and approval before publication keeps content accurate and accountable.
On-demand knowledge assistance
Deliver trusted answers through search, AI assistants, portals, and service desk workflows.
Multi-source data support
Integrate with ITSM platforms, enterprise content repositories, operational systems, and document management environments.
Advanced retrieval and context engineering
Support GraphRAG, context graphs, semantic search, memory optimization, chunking, embeddings, and retrieval benchmarking.
Deployment and data control
On-premises deployment. Data sovereignty and control. Open-source AI model deployment. Zero recurring token fees.
Data protection
PII identification and anonymization. Prompt injection protection. Data exfiltration defenses. TLS / HTTPS support.
Governance and access
Single Sign-On (SSO). Role-Based Access Control (RBAC). Human oversight and approval workflows. Audit logging and AI observability.
Model
