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PRACTICE 06

AI Governance, Risk & Responsible AI.

The framework, controls and evidence base that make AI use defensible to a board, an auditor and a regulator.

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46SERVICES IN THIS PRACTICE

5SPECIALIST SUB-PRACTICES

Milestone based, or time and materials for evolving scopeDELIVERY MODEL

The problems this practice exists to solve.

No complete picture of where AI is already being used

Uniform controls that either block low-risk use or under-govern high-risk use

Boards asking questions about AI that management cannot answer

Obligations emerging faster than internal capability

Every service in this practice.

46 SERVICES · 42 NEW FOR 2026-27

SUB-PRACTICE 6.1AI Governance Foundations13 services

AI Governance & ComplianceThe framework, controls and evidence base that make AI use defensible to a board, an auditor and a regulator.Responsible AI ControlsPractical implementation of fairness, transparency, accountability and human oversight controls in delivered systems.AI Ops, Governance & GatewayOperational governance of AI systems in production, including access gateway, usage policy enforcement and monitoring.AI System Inventory & DiscoveryNEWA complete, maintained register of every AI system in use across the organisation, including embedded and vendor-supplied capability.Shadow AI Discovery & RemediationNEWIdentification of unsanctioned AI tool use across the organisation, with risk assessment and a route to sanctioned alternatives.AI Use-Case Register & Intake ProcessNEWA governed intake process through which every proposed AI use case is recorded, assessed and approved before development.AI Risk Classification & TieringNEWClassification of each AI system by autonomy, data sensitivity, decision impact and access, driving the controls that apply to it.Algorithmic Impact AssessmentNEWStructured assessment of the potential impact of an AI system on individuals, groups and the organisation, with mitigations.Model Card & System Card DocumentationNEWStandardised documentation of each model and system covering purpose, data, limitations, evaluation results and approved use.Model Registry & LineageNEWCentral registry recording every model version, its training and evaluation data, its approvals and its deployment history.AI Asset Criticality MappingNEWAssessment of which AI systems are business-critical and what the consequence of their failure would be.AI Dependency MappingNEWMapping of the models, data sources, vendors and infrastructure each AI system depends on.AI Portfolio ReportingNEWConsolidated reporting on the AI estate covering value delivered, risk exposure, cost and compliance status.

SUB-PRACTICE 6.2Agent Governance7 services

Agent Registry & Agent Identity ManagementNEWRegistration and identity management for every agent as a distinct non-human actor with an owner, a purpose and a permission set.Autonomy-Tiered Governance DesignNEWA governance model with different controls at each level of agent autonomy, replacing uniform controls that either block low-risk agents or under-govern high-risk ones.Agent Permission & Blast-Radius DesignNEWDefinition and limitation of what each agent can reach and change, so the consequence of failure is bounded by design.Agent Approval & Release GatesNEWFormal gates an agent must pass before it is granted production access or an increase in autonomy.Agent Behaviour MonitoringNEWContinuous monitoring of agent actions against expected behaviour, with alerting on deviation.Agent Kill-Switch & Containment DesignNEWThe technical and procedural ability to suspend an agent immediately and contain the effect of its recent actions.Agent Accountability & Ownership AssignmentNEWNamed human accountability for every agent in production, with defined responsibilities and review obligations.

SUB-PRACTICE 6.3AI Assurance & Testing11 services

AI Red TeamingNEWStructured adversarial testing of AI systems to find harmful, non-compliant or incorrect behaviour before users or regulators do.Prompt Injection & Jailbreak TestingNEWTargeted testing of a system's resistance to instruction injection through user input, documents and retrieved content.Bias, Fairness & Disparate-Impact TestingNEWMeasurement of whether an AI system produces materially different outcomes across groups, with documented findings and mitigations.Explainability & Interpretability ImplementationNEWImplementation of the technical means to explain why a model or agent produced a particular output.AI Transparency & User Disclosure DesignNEWDesign of how and where users are told they are interacting with AI and what it can and cannot do.Third-Party & Supply-Chain AI Risk AssessmentNEWAssessment of AI capability embedded in vendor products and services, and the risk it introduces.Vendor AI Due DiligenceNEWStructured evaluation of an AI vendor's models, data handling, security, evaluation practice and contractual commitments.Training-Data Provenance GovernanceNEWControls establishing where training and fine-tuning data came from, what rights attach to it and how it is retained.Copyright & IP Risk Assessment for GenAI OutputsNEWAssessment of intellectual property and copyright exposure arising from generative AI outputs and the controls that reduce it.ISO/IEC 42001 ReadinessGap assessment and preparation for certification against the ISO/IEC 42001 artificial intelligence management system standard.ISO/IEC 42001 Implementation & Certification SupportNEWFull implementation of the AI management system, internal audit, corrective action and support through external certification audit.

SUB-PRACTICE 6.4Regulatory Alignment10 services

NIST AI Risk Management Framework AlignmentNEWMapping of the organisation's AI controls to the NIST AI Risk Management Framework with gap remediation.EU AI Act Readiness & Conformity AssessmentNEWClassification of AI systems under the EU AI Act and preparation of the technical documentation and conformity evidence required.Australian Voluntary AI Safety Standard AlignmentNEWAssessment and implementation against Australia's voluntary AI safety guardrails.NSW AI Assurance Framework ComplianceNEWPreparation of the assessment and evidence required by the New South Wales AI Assurance Framework for government-facing systems.Australian Federal AI Policy ComplianceNEWAlignment with Commonwealth policy for the responsible use of AI in government, including accountability and transparency obligations.Saudi SDAIA AI Ethics Principles ComplianceNEWAlignment of AI systems with the Saudi Data and Artificial Intelligence Authority's AI ethics principles.Saudi NDMO Data Governance ComplianceNEWImplementation of the National Data Management Office's data governance and classification requirements.Saudi PDPL ComplianceNEWAssessment and implementation of controls required by the Saudi Personal Data Protection Law.UAE AI Charter, DIFC & ADGM ComplianceNEWAlignment with the UAE AI Charter and the data protection regimes of the DIFC and ADGM financial free zones.AI Procurement & Contract Clause DraftingNEWDevelopment of AI-specific contractual positions covering IP, liability, data use, evaluation rights and exit.

SUB-PRACTICE 6.5AI Assurance Operations5 services

AI Incident Management & ReportingNEWDefined process, roles and reporting for AI incidents, including regulatory notification where required.AI Internal Audit ReadinessNEWPreparation of the control evidence, documentation and walkthrough material an internal or external auditor will request.AI Board Reporting & Executive Governance DashboardsNEWReporting that gives a board a defensible view of AI value, risk, incidents and compliance status.AI Literacy & Role-Based Training ProgramsNEWTraining tailored to executives, managers, developers and general staff on responsible and effective AI use.AI Acceptable-Use Policy DraftingNEWDevelopment of a clear, enforceable policy defining permitted and prohibited AI use across the organisation.

What we deliver.

AI system inventory and use-case register

Risk classification and tiering model

Governance framework, forums and decision rights

Control library with evidence requirements

Board and executive reporting pack

Capability uplift and handover

The outcomes that follow.

A complete and maintained view of the AI estate

Controls proportionate to actual risk

Answers available when the board asks

A defensible position with regulators

Faster approval for low-risk AI use

How every engagement runs.

01Discoverconfirm objectives, stakeholders, constraints and success measures

02Assessreview current systems, data, controls and delivery readiness

03Designprepare the target design, backlog, governance and implementation plan

04Validatetest the priority requirements through a prototype, pilot or controlled design review

05Implementconfigure, integrate, test and deploy the approved solution

06Enabletrain users, transfer knowledge and establish operating procedures

07Optimisemonitor adoption, performance, cost, quality and improvement opportunities

BUILT FORGovernment agencies and regulated public-sector bodiesBanks, insurers, superannuation funds and professional-services firmsHealthcare providers, aged-care operators and NDIS businessesUtilities, energy and resources operators

What our customers say.

All customer stories

"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.

Finance ManagerGCC Construction Group, Dubai

"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.

Project DirectorTier-One Contractor, Sydney

"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.

Commercial DirectorProperty Developer, Dubai

"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.

Group CFOInfrastructure Holding, Riyadh

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