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AI Governance

AIGovernance.

Enable innovation with confidence by establishing practical AI governance that manages risk, supports compliance, and aligns with your business objectives.

How this helps

  1. Manage AI risk

  2. Establish governance frameworks

  3. Support responsible innovation

  4. Meet regulatory expectations

Common engagements

  • AI governance program design and roadmap
  • AI risk assessments (model, data, third-party, and use case risk)
  • Policy, standards, and acceptable use development
  • Regulatory alignment (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, industry-specific requirements)
  • AI vendor and tool evaluation and due diligence
  • Control mapping and implementation support
  • Ongoing monitoring, reporting, and governance maturity assessments
  • Training and awareness materials

AI governance is an emerging area of the Sorexis practice, built on established risk and third-party methods.

Ready to build responsible AI governance?

Let's discuss your goals and how Sorexis can help.