Tier Approvers

Overview 

Tier Approvers allows organizations to define approval levels required for risk assessments and governance decisions. 

Approval tiers help ensure that risk evaluations are reviewed by appropriate stakeholders based on the level of risk or organizational requirements. 

Tier-based approvals support structured decision-making and accountability within Clarity AI governance workflows. 

Purpose 

Tier Approvers enables organizations to configure approval hierarchies aligned with internal governance policies. 

Approval tiers ensure that higher-risk AI systems or datasets receive additional oversight before approval. 

This structured approach supports consistent review processes and ensures decisions are validated by responsible roles. 

Key Features 

Define Approval Tiers 

Create multiple approval tiers representing different levels of review authority. 

Each tier can correspond to a role, responsibility level, or governance function. 

Approval tiers help ensure risk assessments are reviewed by the appropriate stakeholders. 

Assign Approvers 

Users can assign one or more approvers to each tier. 

Approvers are responsible for reviewing risk assessment outcomes and providing approval or rejection decisions. 

Multiple approvers can be configured where collaborative review is required. 

Tier-Based Governance Workflow 

Approval tiers integrate with risk assessment workflows. 

Higher-risk assessments may require review across multiple tiers before final approval. 

This ensures governance decisions reflect appropriate levels of oversight. 

Notes