SmartSuite for the Model Validator
The Model Validator provides independent oversight of AI risk and performance assessments, reviews issues and determines approval, conditional approval or cancellation. They monitor key AI risk indicators such as drift, bias, safety, security and compliance signals and confirm remediation is completed.
What you own
- Independently validate model risk and performance assessments
- Decide approval, conditional approval or cancellation of model use
- Monitor drift, bias, safety, security and compliance indicators
- Review issues raised against models and set remediation conditions
- Confirm remediation actions are completed and effective
- Document validation decisions with traceable evidence
Where the role sits
Each name opens that role's page.
Reports to
Direct reports
Works closely with
GRC processes
The shared GRC process map, highlighted for this role.
Owns
accountable for the process
Touches
contributes or approves
Depends on
consumes its output
How SmartSuite helps, suite by suite
Each card is the persona record from that suite's Users tab.
How they use the AI Governance suite
Governance reviews
Approves, conditions, or cancels AI model use.
Risk oversight
Monitors key AI risk and performance indicators, such as drift, bias, safety, security, and compliance signals.
Accountability
Ensures remediation actions are completed and validated.
Suites that serve this role
Products this role uses most
How SmartSuite supports this role
AI governance. Runs assessment workflows with reviewer decision logs and exception tracking so governance decisions are consistent and traceable.
Risk management. Monitors key AI risk and performance indicators such as drift, bias, safety and security signals.
Issues and actions. Ensures remediation actions are completed and validated before approval conditions are lifted.
Reporting. Records approval outcomes and open conditions for governance reporting.
Industry reference
SR 11-7 / OCC 2011-12 defines independent validation: conceptual soundness, ongoing monitoring and outcomes analysis performed by people not involved in the model's development. The UK PRA's SS1/23 carries the same principle for banks, and ASOP 56 applies to actuarial models. NIST AI RMF's Measure function and ISO/IEC 42001 extend validation to AI and machine-learning systems.
The EU AI Act requires conformity assessment of high-risk systems; insurers validate pricing and underwriting models under NAIC and state expectations; healthcare validates clinical algorithms under FDA guidance; public bodies test rights-impacting AI under OMB guidance before deployment.
In their words
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