AI Risk and Compliance life cycle tasks

concept australia Updated Sep 10, 2026 4 min read airc-life-cycle-tasks.md
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AI Risk and Compliance life cycle tasks track governance activities across the onboarding and offboarding of AI systems, AI models, and datasets. Each task is scoped to a life cycle phase.

AI risk and compliance life cycle tasks track governance activities as AI systems, AI models, and datasets move through onboarding and offboarding. When a new AI asset is onboarded it enters a governed life cycle. Governance activities throughout onboarding help organizations understand risk, apply appropriate controls, and make informed deployment decisions. Each of these important milestones are offered as pre-deployed phases which in turn consist of tasks. With these tasks, compliance managers, risk owners, and AI system owners can complete required reviews, assessments, and approvals at each life cycle phase.

AI asset onboarding life cycle tasks

The Onboarding playbook for an AI asset moves through the Assess, Build & Test, and Deploy phases. Each of these phases have associated tasks that are available predefined for your team to set up. Each life cycle phase and its associated tasks are dependent on the successful completion of the preceding phase.

Task name

Purpose

Associated actions and role-specific privileges

Assigned to

Conditional visibility logic

Applicable to AI asset

Assess

Impact assessment

Review and document how this AI asset may affect people, processes, and the business. Identify potential risks, ethical considerations, and regulatory requirements before operational use.

  • AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]: The AI asset owner can initiate the assessments.
  • AI Steward [sn_ai_governance.ai_steward]: The AI steward can view response of the assessment

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

Appears during the assess phase when in the In Review or Draft state. Disappears when task is completed and transitions to Approved for Development state.

  • AI system
  • AI model

Perform risk assessment

Evaluate the likelihood and severity of risks associated with the AI asset and determine appropriate risk classification and required controls to inform governance requirements.

AI Risk & Compliance Analyst [sn_grc_ai_gov.ai_risk_and_compliance_analyst]: Performs risk assessment

AI Risk & Compliance Analyst [sn_grc_ai_gov.ai_risk_and_compliance_analyst]:

Appears when impact assessment is complete during Draft state. Disappears when task is completed and transitions to Approved for Development state

  • AI system
  • AI model
  • Dataset

Build and test

Collect information on the deployment regions of the AI system

  • Implement value templates to derive usage and adoption metrics
  • From AICT, the Collect Information on Deployment Regions task moves to In Review. In AIRC, the Share Deployment Details task progresses to complete — completing the task in both systems. Control attestations and risk assessments are completed from AIRC.

Asset Owner or AI Steward or AI Risk & Compliance Analyst

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

 

AI system

Create control attestation

Each AI asset is associated with control objectives that define the requirements it must satisfy. You can attest to controls, capture supporting evidence, and monitor compliance status throughout the life cycle of the asset.

AI Risk & Compliance Analyst [sn_grc_ai_gov.ai_risk_and_compliance_analyst]: Can update the states of the record from theAI Risk and Compliance Workspace

AI Risk & Compliance Analyst [sn_grc_ai_gov.ai_risk_and_compliance_analyst]

Appears when the asset is approved for deployment. Disappears when task is completed and the asset reaches Ready for Deployment state.

AI system

Perform control attestation

Use AI Risk and Compliance to attest controls associated with your AI systems. Control attestations confirm whether a control is operating effectively and help maintain your organization's compliance posture.

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]: - The AI asset owner can move the task to In progress state

  • The AI asset owner can move the task can move the task to review state

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

Appears when the asset is approved for deployment during the build phase. Disappears when task is completed and when asset reaches Ready for Deployment state.

  • AI system
  • AI model
  • Dataset

Conformity assessment

Perform a conformity assessment to evaluate whether an AI asset conforms to applicable requirements in AI Risk and Compliance.

  • AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]: The AI asset owner can initiate assessments
  • AI Steward [sn_ai_governance.ai_steward]: The AI Steward can view responses to assessments

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

Appears when asset is Approved for Deployment during the build phase. Disappears when task is completed; when asset reaches Ready for Deployment state.

AI system

Deploy

Deploy asset

When governance readiness is confirmed and deployment is approved, the AI system is deployed and transitions into the operational monitoring phase.

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

AI asset owner [sn_ai_asset_mgmt.ai_asset_owner]

Appears when asset is approved for deployment when all pre-deployment tasks are complete. Disappears when task is completed and the asset is move to the active state

  • AI system
  • AI model
  • Dataset
The Onboard playbook for an AI model and for a Dataset currently defines a smaller task set. Both asset classes generate **Impact assessment** \(AI model only\) and **Perform risk assessment** in the Assess phase, both marked **Production**. Neither asset class has Collaboration or Architecture review tasks defined.
Keywords AI Risk and Compliancelifecycle tasksAI governance
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