Content audit
Sources, quality, owners, duplication.
Single source of truth for support and staff — search + AI with citations and ACL.
Corporate knowledge base is not wiki for its own sake. Structured content + search + AI assistant with citations reduces L1/L2 load. Bober AI Systems builds KB for IT, HR, sales enablement and customer support.
Kaspersky AI assistant — reference: private LLM, RAG on product docs, guardrails, feedback when answer fails.
Content lifecycle: owner → draft → review → publish → auto re-index. Stale content flagged by age and thumbs-down.
Role ACL: sales does not see HR, support sees customer-facing articles. Retrieval filters at query time.
Integrations: suggest article on ticket create, Telegram bot for employees.
MVP 4–8 weeks. Budget from €4,000. Discovery identifies content debt first.
Sources, quality, owners, duplication.
RAG stack or KB SaaS hybrid, ACL model.
Assistant, suggested replies, feedback.
Champions, metrics, content SLA.
−35%
L1 ticket volume
−50%
onboarding time to productivity
1 source
of truth for frontline answers

−50% повторных обращений L1
Консультанты быстрее закрывают типовые обращения, единообразно отвечают на вопросы о продуктах и тратят больше времени на сложные инциденты и апсейл.
View case study →
−50% повторяющихся обращений, быстрее онбординг новых операторов.
View case study →Single source of truth for support and staff — search + AI with citations and ACL.