Sectoral AI Compliance

AI Governance SaaS Compliance Advisor

AI Governance & Compliance Advisor

Sector-based AI policy management

Finance

AI Governance Policy



Objective

Ensure all AI systems are governed through a structured lifecycle framework enabling transparency, accountability, and regulatory compliance.



Controls



  • Maintain centralized AI system inventory with versioning and ownership
  • Classify models based on financial risk exposure
  • Implement approval workflows prior to deployment
  • Ensure audit logging of all model decisions



Evidence



  • Model documentation and architecture design
  • Training dataset lineage reports
  • Approval records and governance sign-offs
  • System audit logs



Ownership



Chief Risk Officer, AI Governance Committee



Review Cycle

Quarterly and upon major model changes



Regulatory Mapping

  • EU AI Act (High Risk Systems)
  • GDPR Article 22
  • Basel Model Risk Guidelines
Risk Management Policy



Objective

Identify, assess, and mitigate risks associated with AI-driven financial decisions.



Controls

  • Perform quarterly AI risk assessments
  • Implement model validation frameworks
  • Define incident escalation procedures



Evidence

  • Risk assessment reports
  • Validation test results
  • Incident logs and response records



Ownership

Risk Management Team



Review Cycle

Quarterly



Regulatory Mapping

  • Basel III
  • EU AI Act Risk Management Requirements

Healthcare

Data Governance Policy



Objective

Protect patient data integrity, confidentiality, and traceability across AI systems.



Controls

  • Encrypt all patient data in transit and at rest
  • Implement role-based access control
  • Maintain full audit trails for data usage



Evidence

  • Access control logs
  • Encryption standards documentation
  • Audit trail reports



Ownership

Chief Data Officer



Review Cycle

Semi-annually



Regulatory Mapping

  • HIPAA
  • GDPR
Model Validation and Explainability



Objective

Ensure medical AI decisions are accurate, explainable, and clinically safe.



Controls

  • Validate models using clinical datasets
  • Implement explainability tools
  • Conduct bias testing across demographics



Evidence

  • Validation reports
  • Explainability outputs
  • Bias testing documentation



Ownership

Clinical AI Review Board



Review Cycle

Before deployment and annually



Regulatory Mapping

  • EU AI Act
  • Medical Device Regulations

Retail

Transparency Policy



Objective

Ensure customers are informed about AI-driven decisions and interactions.



Controls

  • Disclose AI usage in customer interactions
  • Provide explanations for recommendations
  • Maintain decision logs



Evidence

  • Customer disclosures
  • Recommendation logs
  • UX documentation



Ownership

Customer Experience Team



Review Cycle

Annually



Regulatory Mapping

  • GDPR Transparency Principles
Vendor Risk Policy



Objective

Ensure third-party AI vendors comply with security and regulatory requirements.



Controls

  • Conduct vendor risk assessments
  • Require contractual compliance clauses
  • Monitor vendor performance



Evidence

  • Vendor contracts
  • Assessment reports
  • Security certifications



Ownership

Procurement and Risk Team



Review Cycle

Annually



Regulatory Mapping

  • GDPR
  • EU AI Act

Manufacturing

Security Policy



Objective

Protect AI systems from unauthorized access and cyber threats.



Controls

  • Implement multi-factor authentication
  • Monitor system access logs
  • Segment AI infrastructure



Evidence

  • Access logs
  • Security audit reports
  • Network architecture diagrams



Ownership

IT Security Team



Review Cycle

Quarterly



Regulatory Mapping

  • ISO 27001
Monitoring and Incident Management



Objective

Detect and respond to AI system failures in real time.



Controls

  • Implement monitoring dashboards
  • Define incident response workflows
  • Log all system anomalies



Evidence

  • Incident reports
  • Monitoring logs
  • Response timelines



Ownership

Operations Team



Review Cycle

Monthly



Regulatory Mapping

  • ISO 22301

Public Sector

Compliance Documentation Policy



Objective

Ensure full traceability and accountability of AI systems used in public services.



Controls

  • Maintain complete documentation of AI systems
  • Conduct regular compliance audits



Evidence

  • Audit reports
  • System documentation



Ownership

Government Oversight Body



Review Cycle

Annually



Regulatory Mapping

  • EU AI Act
  • Public Accountability Laws
Transparency Policy



Objective

Ensure public visibility into AI decision-making processes.



Controls

  • Publish transparency reports
  • Provide explainable outputs



Evidence

  • Public reports
  • Decision explanations



Ownership

Public Communications Office



Review Cycle

Annually



Regulatory Mapping

  • Freedom of Information Regulations