Services/AI Governance Frameworks

AI Governance Frameworks

Governance is no longer optional. It is the law.

The EU AI Act entered into force in August 2024. First obligations applied in February 2025. Full application from August 2026. Maximum penalties: €35M or 7% of global annual turnover — whichever is higher.

Yet KPMG research (2024) finds that 65% of boards lack sufficient visibility into how AI is being used within their organisation. That is not a technology gap. It is a governance gap — and it creates fiduciary exposure at board level.

of global turnover — maximum EU AI Act penalty

EU AI Act, 2024

65%

of boards lack AI visibility — a fiduciary risk

KPMG, 2024

35%

of organisations have a formalised AI governance framework

Deloitte, 2024

72%

deploying AI faster than governance can manage

PwC, 2024

The EU AI Act risk classification framework

Every AI system deployed by or within your organisation must be classified under the EU AI Act. Your obligations — and your exposure — depend entirely on which tier applies

Unacceptable Risk

Banned outright — effective February 2025

Real-time biometric surveillance in public, social scoring systems, manipulation of vulnerable groups

High Risk

Mandatory conformity assessment, human oversight, technical documentation, EU database registration

AI in HR/recruitment, credit scoring, critical infrastructure, law enforcement, biometric identification

Limited Risk

Transparency obligations — users must be informed they are interacting with AI

Chatbots, content generation systems, deepfakes

Minimal Risk

Voluntary codes of conduct recommended; no mandatory requirements

AI-enabled spam filters, basic recommendation systems

Source: EU AI Act — Official Text and Timeline

ISO 42001

The international standard for AI governance

ISO 42001, published in December 2023, is the world's first international standard for AI Management Systems. Structured analogously to ISO 27001 for information security, it provides enterprises with a risk-based, continuously improving architecture for governing AI across its full lifecycle.

ISO 42001 certification is emerging as a procurement condition for enterprise AI vendors and deployers — and is positioned as a pathway to demonstrating compliance with the EU AI Act's high-risk system requirements. Read the standard.

Risk-based AI governance

Structured risk assessment for every AI system, proportionate to its potential impact

Accountability structures

Clear ownership and accountability chains from AI systems to senior leadership

Impact assessments

Mandatory assessment of AI systems' impact on individuals, groups, and society

Human oversight

Documented mechanisms for human review and intervention in AI-driven decisions

Continuous improvement

PDCA (Plan-Do-Check-Act) cycle for ongoing governance refinement

How we build your AI governance framework

Five stages from regulatory exposure mapping to a fully embedded, board-level governance architecture. All outputs are documented and retained by your organisation

Stage 01

Regulatory Exposure Mapping

We map every AI system in your organisation against the EU AI Act risk classification tiers — Unacceptable, High, Limited, and Minimal risk. For each high-risk system, we identify the specific obligations that apply: conformity assessments, technical documentation, human oversight requirements, and registration in the EU AI database

AI system risk registerEU AI Act obligation matrixRegulatory gap analysis

Stage 02

ISO 42001 Framework Design

We design your AI Management System to ISO 42001 — the world's first international standard for AI governance, published December 2023. Structured analogously to ISO 27001 for information security, ISO 42001 provides a risk-based, continuously improving governance architecture that satisfies both regulatory and board requirements

ISO 42001 governance frameworkPolicy documentationRisk assessment methodology

Stage 03

Board-Level Accountability Structure

We establish clear accountability chains from AI system owners to the board. Only 9% of Fortune 500 boards have members with substantive AI expertise (Spencer Stuart, 2024). We design the reporting structures, terms of reference, and oversight mechanisms that close the governance gap — without requiring board-level technical knowledge

Board AI governance charterAI accountability matrixOversight reporting templates

Stage 04

Conformity Assessment & Documentation

For high-risk AI systems under the EU AI Act, we conduct the conformity assessment process and produce the technical documentation required before deployment. This includes data governance documentation, model cards, human oversight protocols, and the post-market monitoring plans required by law from August 2026

Conformity assessment reportTechnical documentation packagePost-market monitoring plan

Stage 05

Governance Embedding & Training

We embed governance into your AI development lifecycle — not as a checkpoint at the end, but as a design constraint from the start. We train your product, engineering, and compliance teams on governance-by-design principles, ensuring your organisation retains the capability to govern AI at scale without ongoing external dependency

Governance playbookTeam training programmeOngoing audit framework

Responsible AI & Ethics

Algorithmic bias, data privacy, and ethical AI deployment frameworks

AI Strategy & Roadmap Design

Governance-first AI strategy design with board-level business cases

Whistleblowing & Reporting

Our own governance commitments — transparency by design

Close the governance gap before the regulator does

Your competitors are already building AI governance infrastructure. The EU AI Act is already enforcing. The question is not whether to govern AI — it is whether your governance is designed to enable competitive advantage or merely avoid penalty.