Approval Process

An approval process is a documented workflow that requires designated reviewers or decision-makers to authorize actions, deployments, or changes before they can proceed. In AI governance, approval processes are critical for controlling AI system deployment, model updates, and significant operational decisions, ensuring accountability and reducing risk. These workflows help organizations maintain compliance with regulations, prevent unauthorized system changes, and create audit trails that demonstrate thoughtful oversight of AI initiatives.

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ResearchUS2026-07-01

Canada's Fisheries Agency Two-Gate AI Approval Model Offers Replicable Blueprint for Public Sector Governance Programs

ValidMind published a case study documenting how Canada's Department of Fisheries and Oceans built a mature AI governance program around a sequential two-step approval process covering use case evaluation and product review. The program embeds guardrails for legal compliance, security, and continuous monitoring. The study offers a concrete implementation reference for public sector and regulated-industry compliance teams building or maturing their own AI intake and oversight programs.

public sector approval process AI governance program continuous monitoring Canada ValidMind intake workflow model risk management