Elium

Find out if your knowledge base can support an AI deployment, and what to fix first if it cannot. The report scores six pillars. It is free, with no sales call.

22,000 people. One source of truth. AI agents that answer in 0.5 seconds. Before that, L'Oréal Opérations had a million documents spread across a tool for every team. Every search returned candidates, not an answer. Nobody could promise the procedure you found was the one you were meant to follow. Point an AI assistant at that corpus and it has no way to tell which version governs. So they fixed the foundation first. Duplicates removed. FR/EN versions merged. A named owner on every document. Then the AI companions came last, answering from governed spaces with the source attached. 10 months from decision to launch. 8,000+ users in year one. Now all 22,000 people in Opérations. AI runs on knowledge, not hope. See how Elium works on your own knowledge.

Scattered documentation doesn't just slow your technicians down. It teaches your AI the wrong answers. Most IT teams deploy AI on top of whatever knowledge they already have. The chaos doesn't go away - it scales. Elium structures and governs operational knowledge before AI gets anywhere near it. Every procedure has a named owner, a review date, and one validated version. If the foundation is solid, everything built on top of it works. See if your knowledge is AI-ready.

The fastest IT teams aren't faster because of better AI. They're faster because of what their AI runs on. Most ITSM teams have documentation. Very few have a knowledge infrastructure built around it. Elium turns that documentation into knowledge your AI can actually run on. Every resolution guide validated, every procedure owned, delivered directly inside your ticketing tools. Whether it's your technician or your AI asking, the right answer is already there. See if your knowledge is AI-ready.

Most AI deployments have one thing in common. Nobody sorted the knowledge first. AI automation doesn't fix scattered documentation. It amplifies it. One outdated procedure, served confidently across hundreds of tickets a day. 140 technicians. 540,000 requests a year. 25% reduction in critical incident handling time. That's what SPIE ICS achieved by building the knowledge layer before anything else. Sort the knowledge first. Then scale the AI. See how IT teams use it.

Your technicians know how to fix the problem. They shouldn't have to hunt for the procedure first. Junior technicians asking seniors for answers they should already have. AI serving outdated procedures with complete confidence. Escalations that should never have happened. It's not a tooling problem. It's a knowledge problem. Elium builds the knowledge infrastructure your technicians and AI actually trust. Every resolution guide with a named owner, a review date, and one validated version. Not a wiki. Not a shared folder. A governed knowledge base that works as hard as your team does. IT teams with structured knowledge bases resolve tickets 3x faster. And their AI actually works. See if your knowledge is AI-ready.