Governance. Risk. Compliance. Cybersecurity.
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Methodology

Methodology — AI Governance & ISO 42001

Our AI Governance & ISO 42001 methodology is built on five repeatable phases refined across hundreds of engagements in the UAE, KSA, India and Africa. Each phase produces signed-off artefacts that carry forward into the next.

  • ISO/IEC 27001 Certified
  • ISO/IEC 27701 Certified
  • ISO 9001 Certified

Delivered by an ISO/IEC 27001, 27701 & 9001 certified organisation

Guiding principles

  • Risk-led, not checklist-led — every control traces back to a business risk.
  • Evidence-first delivery — every workshop ends with an artefact in your repository.
  • Local context — Arabic, English and Hindi delivery, local regulator relationships.
  • Single source of truth — one risk register, one control set, many audits.
Principles applied to every engagement

Checklist titled "Principles applied to every engagement" with 4 items, every item marked complete: Risk-led, not checklist-led; Evidence-first delivery; Local context; Single source of truth.

  • Risk-led, not checklist-led
  • Evidence-first delivery
  • Local context
  • Single source of truth

Phase 1. Inventory

Discover all AI and ML systems across the estate.

  • Defined entry and exit criteria captured in the engagement charter
  • Weekly progress reporting against an agreed traffic-light scorecard
  • Outputs reviewed by a Lead Auditor before sign-off
  • Lessons captured to refine the next AI Governance & Risk engagement
AI Governance & ISO 42001 delivery phases

Process flow diagram titled "AI Governance & ISO 42001 delivery phases" with 4 sequential steps: Inventory; Classify; Govern; Certify.

  1. Inventory
  2. Classify
  3. Govern
  4. Certify

Phase 2. Classify

Risk-tier each system using ISO 42001 and EU AI Act criteria.

  • Defined entry and exit criteria captured in the engagement charter
  • Weekly progress reporting against an agreed traffic-light scorecard
  • Outputs reviewed by a Lead Auditor before sign-off
  • Lessons captured to refine the next AI Governance & Risk engagement

Phase 3. Govern

Policies, evaluation, monitoring, human-in-the-loop.

  • Defined entry and exit criteria captured in the engagement charter
  • Weekly progress reporting against an agreed traffic-light scorecard
  • Outputs reviewed by a Lead Auditor before sign-off
  • Lessons captured to refine the next AI Governance & Risk engagement

Phase 4. Certify

ISO 42001 implementation and external audit.

  • Internal audit dry-run with formal findings register
  • Management review with executive sponsor
  • External audit liaison and observation room support
  • Findings closure plan with target dates and owners

Quality gates

Each phase ends with a formal gate review attended by the engagement partner, your sponsor and any second-line stakeholders. No phase closes until the gate criteria are documented and signed off.

  • Gate 1 — scope, RACI and risk appetite formally agreed.
  • Gate 2 — control design reviewed and approved by your security committee.
  • Gate 3 — evidence pack independently sampled before audit submission.
  • Gate 4 — post-audit lessons-learned and continuous improvement plan signed off.
Four quality gates per engagement

Process flow diagram titled "Four quality gates per engagement" with 4 sequential steps: Gate 1; Gate 2; Gate 3; Gate 4.

  1. Gate 1
  2. Gate 2
  3. Gate 3
  4. Gate 4