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STRATEGY

AI Governance & Review

Set clear boundaries for data, access, human oversight and responsible AI use.

Discuss your project

What is ai governance & review?

AI governance defines who is responsible for AI use, which tools and data are approved, and how systems are reviewed. Technical reviews can examine permissions, integrations, evaluation and operational risks.

Where it can help

  • Employees are using AI without agreed rules.
  • Data access and provider handling are unclear.
  • There is no process to evaluate changes or investigate errors.

What we can build

  • Acceptable-use and approval workflows
  • Data and provider review
  • Role and tool permission design
  • AI evaluation planning
  • Security architecture review
  • Human escalation and accountability

Good questions. Clear answers.

Does a review certify our AI as secure or compliant?

No. It identifies scope-specific risks and recommended controls. Certification and legal compliance require the appropriate qualified processes and reviewers.

PART OF A CONNECTED SOLUTION

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