Solution

AI Governance as a Service (AI-GaaS)

AI Governance as a Service (AI-GaaS) provides organizations with a structured, subscription-based model to design, implement, and continuously manage AI governance, risk, and compliance frameworks. GSS embeds responsible AI principles, risk oversight, lifecycle controls, and regulatory alignment into your AI initiatives—ensuring that AI systems are secure, ethical, transparent, and compliant throughout their lifecycle. Our AI-GaaS model integrates with enterprise GRC, IT governance, and digital transformation programs, aligning with international standards such as ISO/IEC 42001, NIST AI RMF, and applicable privacy and regulatory requirements. We provide ongoing oversight, monitoring, reporting, and advisory support—transforming AI from experimental deployment into a governed, trusted, and value-driven strategic capability.

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The key activities includes


AI Governance Framework Establishment

  • Define AI governance structure (AI Committee / AI CoE)
  • Develop AI Governance Charter
  • Define AI risk appetite & accountability model
  • Align to ISO/IEC 42001 & NIST AI RMF

AI Risk Management & Monitoring

  • Develop AI risk taxonomy
  • Maintain AI risk register
  • Conduct periodic AI risk assessments
  • Monitor model drift, bias, and control effectiveness
  • Integrate AI risks into enterprise ERM

AI Impact Assessment (AIIA)

  • Perform AI system impact assessments
  • Evaluate fairness, privacy, and ethical implications
  • Assess regulatory exposure (PDPL, GDPR, sector rules)
  • Recommend mitigation controls

AI Lifecycle Governance (AI SDLC Oversight)

  • Embed controls across AI lifecycle stages
  • Review model validation & documentation
  • Ensure explainability & transparency controls
  • Monitor third-party AI vendor risks

Compliance & Regulatory Alignment

  • ISO 42001 readiness & maintenance
  • Regulatory mapping & gap reviews
  • Policy and documentation updates
  • Audit readiness support

Executive Reporting & Assurance

  • AI governance dashboard
  • Quarterly AI risk reporting
  • Board-level briefings
  • Continuous improvement roadmap

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