Request an AI model
Request the development or procurement of an AI model to support an AI system. This process captures the technical and business context needed to initiate governance review, risk assessment, and life cycle tracking for the model.
Before you begin
Role required: AI risk and compliance business user (Employee Center), sn_ai_asset_mgmt.ai_asset_owner (AI Control Tower dashboard)
About this task
An AI model is a core component of an AI system that performs learning, prediction, classification, or generation based on training data. Requesting an AI model initiates governance review, risk assessment, and life cycle tracking before the model is trained, procured, or deployed.
Procedure
What to do next
After submitting an AI model request, the next steps depend on your role in the AI governance life cycle.
AI Product Owner or Requester [sn_grc_ai_gov.ai_risk_and_compliance_user]: Provide additional information as requested during intake and onboarding, including details about the model purpose, training approach, intended usage, and how the model supports one or more AI systems. You may be asked to clarify model sourcing (in-house or third-party), data dependencies, or expected business outcomes.
AI Steward or AI Center of Excellence (AI CoE) [sn_grc_ai_gov.ai_risk_and_compliance_manager, sn_ai_asset_mgmt.ai_asset_owner]: Review submitted requests for business and strategy alignment, initiate the review process and trigger required assessments, and coordinate cross‑functional reviews. Continue to oversee the AI model through its life cycle, including inventory tracking, governance activities, linkage to related datasets and AI systems, and collaboration across stakeholders.
For more information, see AI Control Tower dashboard.
Risk and Compliance Manager [sn_grc_ai_gov.ai_risk_and_compliance_manager]: Assess the AI model for regulatory, policy, and risk considerations. Assign risk and impact assessments, recommend controls and attestations, and monitor compliance throughout the AI model life cycle and its associated AI system life cycle.
For more information, see AI Risk and Compliance workspace, Initiate AI assessment on an AI asset, Initiate risk assessment on AI asset, Initiate risk assessment on AI asset's risks, and Manage controls using AI Risk and Compliance.
For an overview of how AI models move from intake through assessment, development, deployment, monitoring, and value tracking, see AI governance life cycle.