AI Governance
Manage and govern AI systems across your organization — with structured oversight, risk controls, and alignment to evolving regulatory and ethical standards.
Product Overview
Govern AI Systems with Confidence and Control
AI Governance is the process of managing risks, controls, and compliance associated with artificial intelligence systems across an organization. SmartSuite’s AI Governance software gives teams a scalable system to oversee AI usage — ensuring transparency, accountability, and alignment with regulatory and ethical standards.
SmartSuite enables organizations to inventory AI systems, assess associated risks, and implement governance controls across the AI lifecycle. With a central system of record, teams can track AI models, data usage, decision logic, and ownership in a way that is repeatable, auditable, and defensible.
The product supports emerging frameworks and standards such as the NIST AI Risk Management Framework (AI RMF), EU AI Act, and other global AI governance guidelines — while remaining flexible enough to align with internal governance models.
SmartSuite dashboards show AI risk and compliance posture as records change, so organizations can monitor model usage, review bias and risk exposure, and confirm that oversight is in place. This supports responsible AI adoption while reducing regulatory and reputational risk.
As part of SmartSuite’s connected GRC architecture, AI Governance extends beyond static documentation.
AI governance insights are continuously informed by:
- Enterprise and operational risk assessments
- Compliance requirements and regulatory obligations
- Data governance and privacy risk activities
- Incident and issue management related to AI systems
- Third-party AI vendors and model providers
AI governance therefore sits inside the wider GRC program instead of beside it.
The product supports a wide range of AI governance use cases, including:
- AI system inventory and classification
- AI risk assessment and impact analysis
- Model governance and lifecycle management
- Regulatory compliance (EU AI Act, NIST AI RMF)
An AI governance program built on SmartSuite is:
- Defensible for regulators and auditors
- Scalable across AI use cases
- Transparent and accountable for leadership and stakeholders
Core Capabilities
AI Governance covers the capabilities teams need to manage AI systems and risks across their lifecycle: workflows, risk assessment, and live dashboards in one platform. Each capability works with other SmartSuite products, so risk, compliance, and operational workflows stay aligned.
AI System Inventory
Keep one inventory of AI systems, models, and use cases across the organization.
AI Risk Assessments
Evaluate risks related to bias, fairness, transparency, and operational impact.
Model Lifecycle Management
Track AI models from development through deployment, monitoring, and retirement.
Governance Controls & Policies
Define and enforce governance controls aligned with regulatory and ethical standards.
Regulatory Framework Alignment
Align AI governance with NIST AI RMF, EU AI Act, and other emerging standards.
AI Use Case Classification
Categorize AI systems by risk level, criticality, and regulatory requirements.
Dashboards & AI Risk Analytics
Monitor AI risk exposure, compliance status, and governance metrics through real-time dashboards.
Workflow Automation
Automate approvals, assessments, and governance workflows using no-code automation.
Role-Based Access Control
Ensure secure access to AI systems, data, and governance workflows across teams.
The AI Governance Lifecycle
SmartSuite supports the full AI governance lifecycle, from inventory through monitoring, with linked workflows and dashboards.
Inventory AI Systems
Identify and catalog AI models, use cases, and associated data across the organization.
Assess Risks
Evaluate risks related to bias, fairness, compliance, and operational impact.
Define Controls
Establish governance policies, controls, and approval workflows.
Monitor & Validate
Monitor AI systems and validate compliance with governance standards.
Report & Improve
Report to stakeholders and refine governance practices.
Connected Risk Ecosystem
AI Governance shares data with other SmartSuite GRC products, so AI risk and control effectiveness can be reviewed alongside risk, compliance, and operational work.
Centralize enterprise risk management with standardized assessments, dashboards, and linked workflows that align risk, controls, and mitigation across your organization.
Manage assessment campaigns and testing schedules with a reusable question library, automated workflows, and one place for evidence collection.
Standardize vendor due diligence, centralize assessments, and monitor ongoing risk exposure to ensure supplier reliability and compliance.
Centralize creation, approval, and publication of policies with full lifecycle tracking and attestations, ensuring they remain current, accessible, and auditable.
Who This Product Is For
The AI Governance product supports stakeholders across risk, compliance, data, and technology teams — enabling responsible AI adoption and oversight.
Chief Risk Officer
Chief Data and AI Officer
Compliance Manager
IT Risk Manager
Data Protection Officer
Executive / Board Member
Frequently Asked Questions
Answers to the questions readers ask most about this topic.
AI governance is the process of managing the risks, controls, and oversight associated with artificial intelligence systems across an organization. It keeps AI development and use ethical, transparent, and compliant with regulatory requirements. As organizations adopt AI at scale, unmanaged risks such as bias, lack of explainability, and regulatory exposure create significant challenges. SmartSuite gives teams one system to track AI models, define governance controls, and monitor usage across the enterprise, and it links AI governance to broader GRC workflows so AI risk is managed alongside other operational risks.
SmartSuite lets organizations build one inventory of AI models, systems, and use cases. Each AI asset is tracked with attributes such as purpose, ownership, data sources, and risk classification, which shows how AI is used across the organization. With every system recorded the same way, teams can govern them consistently and meet regulatory requirements for transparency and documentation.
Teams assess AI risks in SmartSuite with configurable frameworks aligned to standards such as NIST AI RMF, or with their own internal methodologies. Each risk is evaluated on factors such as impact, likelihood, and regulatory exposure, and each AI system is classified by risk level so oversight goes first to the systems that need it. Standardized assessments keep results consistent across AI initiatives, and links to risk management workflows keep AI risks under active monitoring.
Organizations define governance controls for AI systems in SmartSuite, including policies on data usage, model validation, and ethical considerations. Controls can be mapped to regulatory frameworks and internal standards, and linked directly to the AI systems they cover. Teams track control implementation, testing, and effectiveness in the platform, which keeps enforcement consistent, lowers the risk of non-compliance and operational issues, and leaves an auditable record of how each AI system is governed.
To align with emerging regulations such as the EU AI Act and with industry standards, teams document their AI systems in SmartSuite, track compliance activities, and maintain audit trails. Because compliance workflows connect to AI governance, organizations can show adherence to regulatory requirements and prepare for audits and regulatory reviews from the same records.
AI governance in SmartSuite shares data with risk, compliance, and audit workflows, so AI is managed as part of one governance framework. AI risks can be linked to enterprise risk registers, controls can be aligned with compliance programs, and audit workflows can validate the effectiveness of AI controls. Because all of it lives in one platform, AI governance does not become a silo apart from the rest of the GRC program.
Yes. SmartSuite supports organizations with multiple AI systems, teams, and use cases through flexible data models, role-based access, and scalable workflows. Teams can manage AI across business units and geographies in a single platform, keeping governance consistent while accommodating complexity.
SmartSuite builds trust in AI systems through transparency, accountability, and governance structure: organizations can show how each AI model is managed, controlled, and monitored. Clear documentation and audit trails keep AI decisions explainable and defensible, which builds confidence among stakeholders, regulators, and customers.
Build Trust and Control in Your AI Systems
SmartSuite delivers a complete GRC suite that connects AI governance with risk, compliance, and operational workflows.