How Modelart accelerated knowledge access and employee onboarding
CyberCore turned extensive internal documentation into a central semantic-search, mentoring and policy-access system.
Keyword search did not reliably surface the right information, leaving employees dependent on colleagues who knew where documents lived.
- Faster access to relevant information
- Simpler onboarding for new employees
- Fewer interruptions for routine questions
- Reduced dependency on individual knowledge holders
Delivered solution
A central AI knowledge layer enabled natural-language questions across internal, legal and procedural documentation.
Implementation stages
Operating constraint · Knowledge centralization · Semantic retrieval · Progressive adoption expansion
Case-study indicators
1 — central knowledge layer · 3 — connected use cases · 24/7 — knowledge availability
Operational perspective
Semantic retrieval changed how the team accesses documentation: employees ask a question instead of depending on an exact document title or location.
Delivery status and evidence limits
Live in daily operations. The case confirms active use and qualitative outcomes. We do not state a time-saving percentage because that measurement is not publicly documented.