Control Ownership

Control ownership refers to the assignment of clear, named accountability for each safeguard that governs an AI system, such as who maintains a bias test, who approves a model change, or who reviews an access log. In enterprise AI governance, it matters because regulators and auditors increasingly ask not just whether a control exists but who answers for it when it fails. Organizations that leave controls without a documented owner often discover gaps only after an incident or examination.

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ResearchGlobal2026-10-09

Thoughtworks Maps Who Owns AI Controls When Business Units and IT Both Claim Governance

Thoughtworks has published an enterprise AI operating model. It assigns security, privacy, and compliance responsibilities to named control owners within business units. Shared technology guardrails are retained at the enterprise level.

Thoughtworks operating model control ownership AI governance accountability federated governance enterprise AI