Oversight of autonomous organizational systems (AOS) decision making is imperative for the betterment of and the prevention of harm to humanity. Human decision making oversight literature is extensive across many disciplines, but little exists about AOS decision making oversight. This was the research problem addressed, guided by the question, what fundamental concepts are essential for AOS decision making oversight? The question was answered by developing an original conceptual framework. To this end, a conceptual research design was applied to answer the research question. Conceptual research is effective for generating new knowledge using intellectual tools, logical argumentation and assimilation of interdisciplinary empirical research. The framework exposed fundamental oversight concepts for overseeing decision making in AOS, namely governance framework, delegation and autonomy, human involvement, transparency, traceability and explainability, accountability, ethical and legal compliance, risk management, and feedback, adaptation and improvement. The framework is important for all AOS and artificial intelligence (AI) scientists, academics, programmers and organizations for averting vulnerabilities, threats, failures, stagnant models, opaque decisions, auditing difficulties, undetected biases, responsibility vacuums, unclear liability, unethical behavior, ethical violations, erosion of trust, business continuity risk, legal and regulatory non‑compliance, and missed learning opportunities. Furthermore, the framework advances AOS and AI oversight and governance research, establishing fundamental concepts for theory development and knowledge progression in the domain of AOS decision making oversight.