SmartSuite for the AI Risk Officer

Assess each use case against the same criteria for bias, safety, security, privacy and drift, so a tier assigned in one business unit means the same as a tier assigned in another.

Record the controls and monitoring cadence required for each risk tier once, then let the AI Governance product apply them to every model that lands in that tier.

Approval, conditional approval, suspension and retirement decisions run through workflows that keep the conditions you set, the reviewer who set them and the evidence that they were met.

Enterprise Risk Management (ERM) holds AI risks with the same likelihood and impact method as operational and cyber risk, so the CRO reads one heat map rather than a separate AI annex.

Model Validators, the Chief Information Security Officer and the Chief Privacy Officer are brought into assessments where their domain applies, with their findings linked to the model rather than scattered across email.

Approved indicators and tolerance thresholds sit on each risk, with automated alerts when a metric moves, so emerging concerns reach you while there is still time to act.

Issues Management logs each AI incident and near miss with an owner, a mitigation, a deadline and the evidence that closed it, so repeat causes stand out across the model estate.

High-risk systems, open actions and exposure trends come straight from the register and assessment data, and the AI Assistant in a SmartDoc field can draft the summary, so the pack is current on the day.

CRI AI RMF mappings and regulatory classifications are stored on each model with the assessment history behind them, giving examiners a traceable line from obligation to control to evidence.

Chief Risk Officer

The AI Risk Officer owns the risk view of artificial intelligence: the AI risk taxonomy, the tiering criteria for use cases, the assessment of harms such as bias, safety, security, privacy and drift, and the controls and monitoring required for each tier. They review high-risk system approvals and their conditions, track AI incidents and near misses and report AI risk posture to the Chief Risk Officer and the risk committee. In SmartSuite that view is held in AI Governance and Enterprise Risk Management (ERM).

SmartSuite scores each AI use case against your risk taxonomy in AI Governance and records the controls and monitoring required for its tier. The officer defines the taxonomy and tiering criteria once; each new use case is then assessed for bias, safety, security, privacy and drift risk against those criteria, and the resulting tier determines what must be in place before approval. High-risk systems carry their approval conditions on the record, visible to the model owner and to later reviews.

AI risks are linked to the enterprise register in Enterprise Risk Management (ERM), so they roll up with operational, cyber and other risk rather than sitting in a separate AI list. That matters when the Chief Risk Officer asks for the overall exposure picture: a high-risk model appears alongside the other top risks, with its owner, controls and treatment status, and the officer does not reconcile two registers before the risk committee meets.

Each AI incident or near miss is logged in Issues Management with an owner, the system involved and the remediation agreed, and tracked to closure. Recording near misses as well as incidents gives the officer a pattern over time, which feeds back into the taxonomy and tiering criteria: if the same harm recurs in a tier that was thought to be low risk, the criteria can be revised with evidence rather than opinion.

The AI Risk Officer reports AI risk posture, high-risk systems and open actions to the risk committee from SmartSuite, using the same records that hold the assessments and incidents. The report shows which systems are high risk, what conditions they carry and which actions are overdue, without a separate compilation step. The officer works day to day with the AI Governance Lead, Model Risk Manager and Model Validator in the same system, so their inventory, validation and risk views agree.

New customers can start with SmartSuite Onboarding, a guided four-week program around one or two priority workflows. For this role the first workflow is use-case tiering: the officer loads the risk taxonomy and tiering criteria, registers the AI use cases already known and begins assessments from there. The function does not need a complete inventory on day one. Because the register and issue records are shared with the Chief Information Security Officer and Chief Privacy Officer, security and privacy input arrives on the same record.