AI Approval Workflow

An AI Approval Workflow is a structured process that routes proposed AI use cases through legal, security, AI ethics, and business approvers before development or deployment. Typical workflows include intake (the proposer registers the use case), risk scoring (against regulatory and ethical criteria), legal review (IP, privacy, contractual), security review (data handling, attack surface), ethics review (impact on people, fairness), and final go/no-go. Tools that support workflows include ServiceNow GRC, Archer, OneTrust, and increasingly specialized AI governance platforms. Real-world examples include the federal Use Case Inventory process under U.S. Executive Order 13960, corporate AI gates at JPMorgan and major insurance firms, and the conformity-assessment process emerging under the EU AI Act for high-risk AI systems. AI approval workflows operationalize AI policy by creating gates between idea and deployment — and produce the AI compliance evidence needed for responsible AI and AI risk management at scale.

Centralpoint Enforces Approval at the Tool Layer: Approved AI calls go through; unapproved ones don't. Centralpoint by Oxcyon enforces AI approval across OpenAI, Gemini, Llama, and embedded models. The platform meters consumption, keeps prompts and skills on-prem, and embeds approved chatbots into your portals via one JavaScript line.


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