SmartSuite for the Chief Data and AI Officer

High-risk use cases pass through approval, conditional approval or rejection workflows with your conditions recorded, so the gate you set as policy is the gate every model actually passes through.

Policy Management distributes AI policies to model and business owners, tracks acknowledgement and schedules reviews, so the operating model is evidenced in attestations rather than assumed.

Each model links to the datasets, applications and processes it depends on, so data quality and stewardship questions can be traced from a model back to the source it learned from.

Approved indicators carry thresholds and recurring re-assessment cycles, so the AI Risk Officer's monitoring produces alerts you can act on rather than reports you read later.

A use case that processes personal data routes to a standardized DPIA in Privacy Risk Management, with legal basis and reviewers assigned, so the Chief Privacy Officer sees it before deployment.

The AI Governance Lead, the Model Risk Manager and the Chief Information Security Officer work in the same model record, so their findings accumulate against the model instead of across three systems.

CRI AI RMF mappings and regulatory requirements, including the EU AI Act, sit on each model with the evidence filed against them, so the board sees compliance per system rather than a program-level assertion.

Executive dashboards show governance coverage, open exceptions and risk trends read from live records, so the quarterly posture report is a view you open rather than a deck someone builds.

Who approved each model, when, why and under what conditions is kept with the version history, so when an examiner asks how a system was authorized the answer is already written down.

Chief Executive Officer

The Chief Data and AI Officer is accountable for how the organization governs data and artificial intelligence: the data and AI governance strategy, policies and operating model, the enterprise AI and model inventory with its risk tiers, the approval of high-risk use cases and their controls, alignment with NIST AI RMF, ISO/IEC 42001 and the EU AI Act, data quality, lineage and stewardship, and the reporting of AI risk posture and governance maturity to executives and the board.

SmartSuite provides an AI model registry in AI Governance with risk tiering, assessment workflows and approval decisions, so every model's status and the governance steps it has passed are visible. The officer can see which use cases are registered, which tier each was assigned, which assessments are complete and which approvals are pending, and approve high-risk use cases with the assessment and required controls on the record.

Material AI risk themes, drift, bias and safety signals are monitored with their mitigation progress alongside other enterprise risk, so the board sees AI exposure in the same picture as operational and cyber risk. Enterprise Risk Management (ERM) holds the enterprise register the AI themes roll into; the AI Risk Officer and Model Risk Manager maintain the detailed assessments, and the officer reads the aggregate.

Each AI system is mapped to the obligations that apply to it, including the EU AI Act and the organization's internal standards, with linked evidence per requirement. For a high-risk system the officer can show which obligations it carries, which controls meet them and what evidence exists, which is the documentation the Act makes a legal duty. Policy Management holds the AI policies, and CRI AI RMF is available for teams aligning to that profile.

AI use cases that process personal data are connected to their privacy assessments in Privacy Risk Management, so an approval gate for a model that uses personal data includes the privacy assessment rather than running separately. The Chief Privacy Officer works from the same record, which is how the officer's coordination with privacy, security and compliance happens: one use case, one set of assessments, each owned by the right function.

SmartSuite delivers board-ready AI governance posture and exception reporting from live data, so the officer's report to the board, and to the Chief Executive Officer and Chief Information Officer, is a view of the current inventory, tiers, approvals and open exceptions. The AI Governance Lead, AI Risk Officer and Model Risk Manager, who report to the officer, maintain the underlying records, so the aggregate and the detail always agree.

Start with the AI use cases and models already known, their owners and the tiering criteria the officer sets; the inventory can be incomplete on day one and grow as coverage improves. New customers can start with SmartSuite Onboarding, a guided four-week program around one or two priority workflows. Because the model registry shares its risk, privacy and policy records with the Chief Risk Officer, Chief Privacy Officer and Chief Compliance Officer, AI governance is added to the organization's existing governance rather than built beside it.