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Build AI systems that meet compliance requirements with confidence. Galethis helps organizations establish structured AI governance, assess compliance readiness, and implement responsible AI practices that align with evolving regulations and industry standards.
Artificial Intelligence is rapidly becoming a core part of business operations, but its adoption introduces new regulatory, governance, and operational responsibilities. Organizations must ensure their AI systems are transparent, secure, accountable, and aligned with evolving legal and industry requirements. Galethis helps enterprises assess AI systems, development practices, data handling, security controls, and governance processes against recognized standards such as the NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, ISO 27001, the EU AI Act, and GDPR where applicable. We identify compliance gaps, recommend practical improvements, and deliver implementation roadmaps that help organizations reduce risk, strengthen stakeholder trust, and deploy AI responsibly at scale.
Review AI systems, governance maturity, policies, business objectives, and applicable regulatory obligations.
Evaluate compliance gaps across AI development, security, documentation, data governance, and operational processes.
Map existing practices to relevant standards and frameworks while strengthening governance and control mechanisms.
Develop a prioritized roadmap with practical recommendations to improve governance, security, documentation, and compliance readiness.
Review recommendations with technical and business stakeholders to ensure alignment with organizational goals.
Support continuous compliance through governance reviews, monitoring, policy updates, and periodic reassessments.
Evaluate AI systems against applicable regulations, standards, and internal governance policies.
Business Value: Identify compliance gaps before they become business risks.
Assess governance structures, accountability models, and organizational oversight.
Business Value: Strengthen governance and executive decision-making.
Align AI practices with frameworks such as NIST AI RMF, ISO/IEC 42001, GDPR, and the EU AI Act where applicable.
Business Value: Simplify regulatory planning and improve compliance readiness.
Review AI documentation, model records, policies, and governance evidence.
Business Value: Improve audit preparedness and operational transparency.
Assess AI security controls, data protection measures, and privacy practices.
Business Value: Reduce security vulnerabilities and compliance risks.
Identify weaknesses across policies, controls, documentation, and operational processes.
Business Value: Prioritize improvements based on business impact.
Deliver practical implementation recommendations with prioritized actions.
Business Value: Accelerate compliance initiatives with a structured improvement plan.
Provide concise compliance reports for executive leadership and technical stakeholders.
Business Value: Enable informed decision-making and build stakeholder confidence.
Talk with our AI assurance experts about validation, governance, and dependable deployment.