SmartSuite for the Chief Data and AI Officer

AI governance. Provides an AI model registry with risk tiering, assessment workflows and approval decisions, so every model's status and governance steps are visible.

Risk management. Monitors material AI risk themes, drift, bias and safety signals with mitigation progress alongside other enterprise risk.

Compliance management. Maps AI systems to obligations such as the EU AI Act and internal standards with linked evidence.

Privacy. Connects AI use cases that process personal data to privacy assessments.

Reporting. Delivers board-ready AI governance posture and exception reporting from live data.

What is the Chief Data and AI Officer accountable for?

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.

How does SmartSuite give a Chief Data and AI Officer a governed model inventory?

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.

How does the officer monitor AI risk alongside enterprise risk?

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.

How does SmartSuite map AI systems to the EU AI Act and internal standards?

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.

How are AI use cases connected to privacy assessments?

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.

How does the Chief Data and AI Officer report to the board?

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.

What does an organization need to start AI governance under this role?

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.