AICtrlNet is a governed AI orchestration platform that provides end-to-end audit trails and granular access controls for AI workflows. It tracks all actions across AI agents, human team members, and enterprise systems (CRM, M365, LOB apps) under a unified governance model. Access is managed via role-based access control (RBAC), with permissions defined at the workflow, agent, and data level. Audit trails include full context of decisions, model inputs, human interventions, and system interactions. The platform supports model-independent orchestration across OpenAI, Claude, Gemini, and local runtimes (Ollama, vLLM), with real-time risk scoring and prompt-injection detection. It includes a 6-phase Control Spectrum to define autonomy levels per agent and workflow. With 43 role-configured agent templates and 177+ workflow templates across 41 industry packs, AICtrlNet enables compliant, production-ready operations. The MIT-licensed Community Edition supports self-hosting and air-gapped deployment.