The only Turkish land-vehicle maker in the global top-100
The customer produces 700+ vehicle configurations spanning military armoured vehicles, commercial trucks and buses. With 3,500+ employees and exports to 80+ countries, their ERP infrastructure, R&D centres and classification layers each carry very different operational realities.
Knowledge scattered across systems — and shadow AI creeping in
4–5 systems per lookup
Engineering docs, production procedures, supplier specs and compliance records sat in separate systems. One compliance reference meant searching four or five of them.
Access controls that hurt productivity
Over-cautious controls — driven by defence classification requirements — degraded day-to-day productivity for engineers who needed legitimate access.
Shadow AI risk
Engineers pasting classified information into public chatbots was a serious and growing concern — with no secure internal alternative to point them to.
A secure knowledge base, deployed on-premise
ARiVA was deployed inside the enterprise perimeter. Data never leaves; classification-level access controls are enforced at the retrieval layer — so the system simply cannot surface what a user is not cleared to read.
Seconds, not days — with the perimeter intact
Retrieval in seconds
Engineering documentation retrieval dropped from days to seconds.
Shadow AI shut down
With a secure internal alternative live, public chatbot use could be banned by enterprise policy.
Classification compliance
ARiVA cannot retrieve documents a user is not cleared to read, with a complete audit trail of every query.
Perimeter held
No enterprise data ever left the perimeter — the entire deployment runs on-premise.
Let’s start with a working POC in 1–2 weeks
A 30-minute discovery call. We listen — not pitch. In the following week, we design a working POC on your data.