Approval Workflows

Approval workflows are structured processes that route decisions through designated stakeholders before AI systems or model updates can be deployed into production. These workflows ensure accountability and risk mitigation by requiring documentation, review, and sign-off from relevant teams such as ethics, legal, and business units. For enterprise AI governance, approval workflows create an auditable trail of decision-making and help organizations enforce consistent standards across different AI initiatives.

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Corporate PolicyGlobal2026-07-25

IBM's Agentic AI Governance Playbook Sets an Industry Benchmark for Autonomy Boundaries and Approval Controls

IBM has published an Agentic AI Governance Playbook advising organizations to define agent purpose, scope, and decision boundaries before development begins. The playbook recommends limiting access to workflows, APIs, and enterprise systems, and prescribes approval workflows, risk classification, and adversarial testing as pre-deployment requirements. The guidance applies globally and is directed at enterprises across industries deploying or planning to deploy AI agents.

IBM agentic AI approval workflows decision boundaries access controls adversarial testing agent governance least privilege