agineo

The most common AI governance strategy I encounter is a spreadsheet. Organizations know they need to govern their AI. But most do not know where to begin. There are no clear processes, no defined ownership, and no real visibility into which AI solutions are actually in use across the enterprise. The platform is what changes this. Not just as a tool, but as a starting point. Something like ServiceNow’s AI Control Tower makes the invisible visible: which models, copilots and agents are active, who owns them, and what risks are attached. Without that foundation, you are governing in the dark. With it, #governance becomes something you can actually operationalize. 𝗕𝘂𝘁 𝘁𝗵𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗮𝗹𝗼𝗻𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗲𝗻𝗼𝘂𝗴𝗵. The second element is #accountability. As AI adoption scales, ownership of AI-related decisions, risks and outcomes needs to be explicit. New roles are emerging: AI Stewards, AI Product Owners, AI Risk and Compliance Managers. Existing functions like Security, Legal, Data Governance and Enterprise Architecture carry just as much responsibility. Accountability does not appear by itself. It has to be assigned deliberately. The third is #execution. Governance only creates value when it becomes operational: structured workflows for onboarding AI, assessing risks, approving use cases, managing exceptions and governing the full AI lifecycle. Without that, governance remains a policy document on a shared drive. None of these three works without the other two. But without the platform, most organizations never get started at all. How far along is your organization on this?

Service demand is rising. Simply adding more manual effort is not scalable. With ServiceNow and AI, service teams can streamline service delivery, route requests more intelligently, reduce repetitive work and create more consistent experiences, built for delivering results.

Many IT teams want to improve visibility, reduce manual effort and prevent disruption, and gravitate to AI as a solution, but the first AI use cases are not always obvious. See how ServiceNow and AI can help you modernise IT operations with a practical, step-by-step approach - targeted, practical, and built to scale.

Many organisations struggle to keep pace with growing compliance demands. With agineo, you can strengthen risk and compliance in ServiceNow - targeted, consistent, and built for scalable compliance workflows.

Viele Organisationen verfolgen ambitionierte KI-Ziele, haben aber Schwierigkeiten, diese in konkrete Initiativen zu übersetzen. Mit ServiceNow und agineo können Führungsteams Anwendungsfälle identifizieren, priorisieren und skalieren, die KI-Strategie und Umsetzung miteinander verbinden - gezielt, praxisnah und auf konkrete Ergebnisse ausgerichtet.

Transparenz verbessern, manuellen Aufwand reduzieren und Störungen vermeiden. Viele Teams blicken in Richtung KI, um Unterstützung zu erhalten. Die ersten KI-Anwendungsfälle sind jedoch nicht immer sofort ersichtlich. Erfahren Sie, wie ServiceNow und KI Sie dabei unterstützen können, IT Operations mit einem praxisnahen Schritt-für-Schritt-Ansatz zu modernisieren - gezielt, umsetzbar und skalierbar.