Research

AI Governance Best Practices and Standards Research

Translate AI governance standards and best practices into a practical, organization-ready governance blueprint that gives stakeholders assurance without slowing delivery.

The Challenge

  • AI governance standards are proliferating and the gap between published standards and practical implementation guidance is wide.
  • Organizations need to demonstrate governance to customers, regulators, and boards, but lack the internal expertise to translate standards into operating requirements.
  • Governance programs built without rigorous standards grounding are difficult to defend in audits or regulatory reviews.
  • The operating cadence for ongoing governance is frequently missing: policies get written but the process for maintaining and enforcing them is not designed.

Our Approach

Structured AI governance research covering standards interpretation, control selection, policy artifact drafting guidance, and operating cadence design. The output is a governance model, a policy and control outline set, and an implementation plan aligned to your maturity level and the standards most relevant to your industry.

What You Can Expect

  • A governance blueprint grounded in standards including ISO/IEC 42001 and relevant regulatory guidance, translated into your organizational context.
  • A policy and control outline set that covers the essential governance requirements without creating unnecessary overhead.
  • An implementation plan sequenced to your current maturity, so governance builds incrementally rather than all at once.
  • Assurance materials that give customers, regulators, and boards confidence that AI efforts are controlled and auditable.
  • A standards interpretation resource that your team can use as new requirements emerge.
4 to 8 weeks, depending on the number of standards in scope and the current governance maturity of the organization.

Our Process

  1. Standards Scoping: Identify the standards and regulatory frameworks most relevant to your industry, use cases, and geographic footprint.
  2. Standards Interpretation: Translate the selected standards into specific governance requirements, separating essential controls from optional enhancements.
  3. Control Selection: Map the required controls to your current capabilities and identify the gaps that need to be closed.
  4. Policy Artifact Drafting Guidance: Produce the policy outlines and control documentation templates your team needs to build the full governance artifact set.
  5. Operating Cadence Design: Design the governance rhythm: review cycles, audit triggers, escalation paths, and the cadence for updating controls as AI programs evolve.
  6. Deliver: Produce the governance model, policy and control outline set, and implementation plan.

Frequently Asked Questions

Build a governance posture grounded in standards including ISO/IEC 42001 that is defensible in audits and workable in operations. Policy outlines, controls, and an implementation plan aligned to your maturity.

Ready to bring this capability into your enterprise?