From high-volume Metric/Trace/Log pipelines to AI and LLM anomaly detection, deployment and operations automation, and SLI/SLO-based 24x365 operations - how TecAce builds AIOps on its own R&D solutions and delivers it on site through FDEs.

Enterprise AI OS is the operating layer that runs and governs an enterprise's many AI Workspaces & Agents and business resources under one shared policy. Across AI maturity Levels 0–4, the bottleneck sits between Level 2 and Level 3 — and that line is crossed with an operating system, not a bigger model. Governed Capability Skills, a Security & Policy Harness, a Tool/Resource Gateway, and AI Supervision build a scalable enterprise AI operating foundation that is not tied to any single domain.

Shadow AI was involved in 43% of breach incidents, and 74% of Korean companies name AI as their single largest data security risk. Here is an 8-point checklist a 30–300 person company with no dedicated AI team can run in two weeks.