Knowledge Navigator
AI search across your organisation's internal documentation, grounded in your own content with citations to source.
Your team spends too much time digging through docs
Before they can answer one citizen, patient or customer, they spend hours hunting through fragmented internal systems. Each shift, each region, each specialised team has its own knowledge environment. Onboarding new staff is slow because the institutional knowledge takes time to accumulate. Procedural manuals, policy documents, internal wikis, shared drives — the answers exist somewhere. The retrieval is broken.
Generic AI tools aren't the answer. An answer that drifts from your organisation's published documentation, or that a staff member can't verify back to source, is unusable in a regulated environment.
AI search provides accurate answers tied directly to sources.
30-50% faster response time
Your team finds correct answers faster and can handle more support requests per working session.
70% reduction in incoming questions
The same procedural questions that previously consumed selection support capacity are now handled by the team-facing assistant.
Faster staff onboarding
Knowledge Navigator helps new staff members find the right information much faster.
Build once, search everywhere
Internal documents (PDFs, reports, intranet pages, knowledge base articles) are parsed and converted into mathematical vectors. Using Retrieval-Augmented Generation (RAG), the system finds the relevant content and generates plain-language answers grounded in your data with citations to the source document.
EPSO: 70% reduction in incoming tickets
EPSO, the European Personnel Selection Office, recruits staff for all EU institutions across 24 official languages. Selection support staff use Knowledge Navigator to query procedural documentation in natural language. Fully source-grounded answers with precise citations. New starters reach productivity faster because the assistant compresses what previously took weeks of institutional onboarding.
