AI — Responsible deployment with direction, risk management, and governance

Artificial intelligence offers enormous opportunities for quality, innovation, and efficiency. However, without clear frameworks, noise arises: fragmented initiatives, unclear ownership, unseen risks, and decision-making that requires retrospective correction.

We help organisations deploy AI responsibly, securely, and strategically — with governance, risk management, and lifecycle management as the foundation.

Why AI governance is indispensable now

Many organisations recognise this: everyone is experimenting, but no one has an overview. Risks regarding data, bias, explainability, and compliance are insufficiently addressed. AI initiatives run separately from the ISMS, privacy Policy, or risk framework.

The European AI Act requires transparency, risk assessments, and structural governance. Boards and Management Teams want to create value with AI, but in a controlled and responsible way. The core: AI requires direction, not more isolated pilots.

iQomply provides AI compliance consulting and AI risk management consulting for organisations that want to deploy AI responsibly, with governance and lifecycle management as the foundation.

AI governance: standards and services

ISO 42001
The international standard for AI management systems. Structure for responsible AI deployment within your organisation.

AI Governance
How do you ensure clear roles, decision-making, and oversight regarding AI? Governance as the foundation for responsible deployment.

ISO 42001 Maturity Model
Where does your organisation stand in terms of AI maturity? A practical model for measurement and management.

AI Implementation
From policy to a functional AI management system. Guidance from baseline assessment to implementation.

Our approach: down-to-earth, streamlined, and risk-driven

STEP 01

Governance with clear roles

We provide structure: who decides, who approves, who manages risks, and who monitors performance. Clear responsibilities are the basis for responsible AI deployment.

STEP 02

Risk-based approach

Our AI risk assessment consulting is not theoretical, it focuses on data quality, explainability, human involvement and reliability.

STEP 03

AI lifecycle from idea to decommissioning

We establish a process that ensures control in all phases: from intake and validation to monitoring, change management, and decommissioning.

STEP 04

Policy and engagement team

This includes AI policy development consulting: policy that is understandable, supported, and helps decision-making rather than creating bureaucracy.

You will have a single point of contact. Our engagement team delivers the expertise your situation requires.

Bart de Man in conversation about AI governance and ISO 42001 implementation

From AI experiment to manageable system

Many organisations are already working with AI, but without an underlying structure. No clear roles, no risk assessment, no lifecycle management. It works until it doesn’t, and no one knows exactly why.

I help organisations take that step. Not with thick reports, but with a functional AI management system that fits your scale, sector, and maturity level.

Bart de Man — Founder of iQomply

Who is this relevant for

Healthcare organisations · IT suppliers and SaaS platforms · Educational institutions · Energy and utilities · Organisations that want to deploy AI in a controlled and responsible manner · Organisations that want to implement ISO 42001 or integrate it with ISO 27001.

Is your organisation already working with AI but lacking structure? Then this is the starting point.

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