AI Governance / ISO 42001 AIMS
We assess readiness and implement ISO/IEC 42001 roles, controls, and evidence so AI adoption scales with control.

What it helps fix
AI use is growing without clear ownership, approvals, or guardrails
Copilots, agents, and automation are being adopted faster than controls
Security, privacy, and data quality are not fully aligned to AI use
Leadership wants AI value, but needs clearer accountability and risk management
Teams want ISO/IEC 42001 readiness, often alongside ISO 27001 and existing management system logic
AI governance helps organizations move from experimentation to controlled adoption. Many teams are already testing copilots, assistants, and automation, but lack clear ownership, approval logic, monitoring, and evidence. We help put the operating model, controls, and documentation in place so AI can scale without becoming a risk.
What we do
We build the trust and control layer around AI adoption. That includes readiness assessment, governance design, role definition, risk classification, control implementation, and the ISO-style documentation needed to manage AI in a structured way.
What this includes
AI governance frameworks and operating model
Policies, roles, controls, and risk management
AI audits, responsible AI, and compliance support
ISO 42001 readiness, gap assessment, and implementation
Adoption guardrails, monitoring, and audit evidence
AIMS readiness plan and implementation backlog
Governance pack with roles, policies, controls, and templates
Audit-ready evidence structure with risk and control baseline
Outputs
Delivered through: Advisory • Implementation • Training & Enablement

AI readiness assessment
A practical starting point to understand current maturity, identify governance gaps, and define the right next steps for controlled AI adoption.
Tailored roadmap for governance, controls, and implementation
Gap summary and priority actions
Current-state readiness snapshot
Priority actions to move from experimentation to structured adoption
Gaps across ownership, approvals, controls, data, privacy, and monitoring
Current AI use, tools, workflows, and active use cases
What clients get
What it covers

How it is delivered
Advisory
We assess current AI use, identify gaps, define the governance scope, and set the priorities needed for controlled adoption.
Implementation
We build the governance layer across roles, policies, controls, documentation, and ISO-aligned routines so AI can scale with trust.
Training & handover
We train leaders, users, and builders on the operating model, control logic, and safe use, then hand over the needed routines.
Where it fits in our service lifecycle
This solution sits in the trust phase. It creates the governance layer that allows data, reporting, automation, and AI to scale without losing control.
Discovery
& Strategy
Business goals, decisions, and KPI model
Readiness, pain points,
and source mapping
Scope, roadmap, and priorities
Blueprint
Data integration and structure
Master data alignment
and quality rules
Reliability, checks, and controls
Roots
Data Foundations
& Quality
KPI dictionary and reporting model
Dashboards and
reporting automation
Performance views and exception tracking
Visibility
BI, Analytics
& Performance
Forecasting, scoring,
and segmentation
Workflow automation where it fits
AI use cases with clear purpose and control
Intelligence
Data Science
& Practical AI
Ownership, controls,
and approvals
Traceability and
monitoring
ISO 42001 alignment where needed
Shield
Governance,
Risk & Trust
It clarifies which AI use cases are approved, who owns them, and how risk and value are evaluated before scale.
It puts the discipline behind AI adoption through accountability, risk management, security alignment, and audit-ready evidence.
It helps teams adopt AI faster because the operating rules, approval paths, and control points are clear from the start.
Decision
Trust
Productivity

Related use cases
How we apply our solutions

Need a clearer AI governance path?
Tell us where AI is already showing up in your business, and we’ll help define the right controls, roles, and roadmap to scale it with trust.
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