AI Governance · Defined starting point

AI Governance Assessment. Make AI use, ownership and risk visible.

A practical assessment of AI use, ownership, risk decisions, oversight and lifecycle controls. It shows what needs governance now and what can remain lightweight.

20 minutes · no obligation · usually a reply within one business day

AI Governance · Assessment

From € 1,995 excl. VAT

Report included. Final pricing follows a written scope agreement; complexity and requested depth may affect the project fee. Indicative turnaround: 2–4 working days for a defined scope, subject to timely access to documentation.

Discuss your AI Governance Assessment →
What you get

An AI governance baseline you can use.

The assessment makes AI use, ownership, risk decisions and control gaps visible before you add unnecessary process or tooling.

AI use-case and system inventory view

Known AI systems and use cases are mapped with their purpose, business context, owners and important dependencies.

Ownership and decision-rights assessment

Decision rights are reviewed across business, technology, risk, legal, privacy and security so accountability gaps become visible.

Risk and oversight gap view

Risk classification, approval, oversight and escalation are assessed against the impact of the AI use cases in scope.

Lifecycle control observations

Lifecycle controls are reviewed across acquisition, development, change, monitoring, incidents and retirement.

Prioritised governance roadmap

Management receives a prioritised roadmap that separates immediate governance needs from optional management-system formalisation.

How it works

From AI use to a governance baseline.

The assessment starts with real use cases, then follows ownership, risk decisions and lifecycle control.

Map

Identify relevant AI use, systems, owners and dependencies.

Assess

Review decisions, risk criteria, approvals, monitoring and evidence.

Prioritise

Apply stronger governance where impact and uncertainty are higher.

Choose

Decide whether to improve the operating model directly or formalise with ISO 42001.

Fit check

Use this when AI is already in use but governance is fragmented or unclear.

A good fit when AI use is growing faster than governance, or management wants a baseline before investing in ISO 42001.

Discuss your situationBack to AI Governance →
Defined scopeThe work is bounded before it starts.
Senior-ledOne senior line through assessment and decision.
No forced follow-onThe output remains useful without a mandatory next engagement.
BEFORE YOU DECIDE

Included assessment scope and its boundaries

The assessment establishes a first workable picture of AI use, ownership, risk and oversight. It is intended to inform decisions and is not a formal audit of every AI system against all legal requirements.

Typical base scope

One defined organisation or business unit, an initial inventory of known AI uses, selected interviews, review of agreed policies or registers, and an indicative governance and risk assessment.

Report and priorities

Receive an overview of identified use cases, accountability gaps, significant control questions and a practical set of priorities for management. A management summary and initial implementation route are included.

What requires a separate scope

Full legal classification of every AI system, detailed technical or model testing, exhaustive supplier assurance and ISO 42001 implementation are not automatically included.

Questions to settle before commissioning

Do we need an AI register before the assessment?

No. Creating an initial inventory is part of the assessment, provided relevant people and supplier information are available.

Does the advertised starting price cover the report?

Yes, for the agreed baseline scope. Additional business units, use cases or requested depth may change the written fee and timetable.

A practical first step

Make AI use and ownership visible before adding structure.

Tell us where AI is being used and what is creating pressure. We will help define a focused assessment scope and the decisions it needs to answer.

Discuss your AI Governance Assessment