Who needs AI governance consulting?
Public bodies, municipalities, master developers and enterprises that deploy AI in services touching citizens, infrastructure or regulated data — particularly anyone placing or using AI systems in the EU market.
AI governance consulting · EU AI Act · GDPR · NIS2
Independent AI governance consulting for governments, municipalities and enterprises: risk classification, oversight, documentation and operating models that let ambitious AI reach production and stay there.

Classify every AI use case by risk tier, document intended purpose, and build the technical file, conformity and human-oversight evidence obligations demand — before a regulator or procurement panel asks.
Lawful basis, purpose limitation, data minimisation and DPIAs applied to models and training data, so analytics and automation stay defensible across jurisdictions.
Security governance, incident reporting and supply-chain assurance for essential and important entities running AI in critical services.
Guardrails, escalation paths, audit logging and human-in-the-loop design for autonomous agents that act on real systems and real citizens.
Evaluation criteria, contractual controls and monitoring for third-party models, so accountability does not evaporate at the vendor boundary.
An AI governance board, clear roles, decision rights and practical workshops that move policy from a document into daily delivery.
What you receive
Each engagement is scoped to your obligations and delivery calendar, not to a fixed template.
The Act applies in phases. The dates below follow the published regulation; EU proposals may adjust the high-risk timetable, so each roadmap is checked against the current official dates.
The EU AI Act enters into force.
Prohibited AI practices are banned and AI literacy duties begin for providers and deployers.
Obligations for general-purpose AI models and national governance arrangements apply.
Most remaining rules apply, including high-risk systems listed in Annex III and transparency duties.
High-risk rules extend to AI embedded in products covered by EU safety legislation (Annex I).
Inventory AI use cases, classify their risk tiers and map gaps against the EU AI Act, GDPR and NIS2.
Agree a roadmap with owners and sequencing, starting with the obligations and systems that matter most.
Put in place the policy, decision rights, human oversight, documentation templates and supplier clauses.
Train teams, set up board-level reporting and review the framework as systems and rules change.
New to the topic? Read the AI governance framework guide for the public sector.

Why this advisor
Thirty years across Europe, the Middle East and Asia: AI-enabled city control systems, a city operating brain, autonomous mobility in live service, and the governance framework for European blockchain infrastructure spanning fourteen member states. Policy and delivery, from the same hand.
See past projectsPublic bodies, municipalities, master developers and enterprises that deploy AI in services touching citizens, infrastructure or regulated data — particularly anyone placing or using AI systems in the EU market.
Strategy decides what to build. Governance decides how it stays lawful, auditable and operable once it is live — the part that determines whether a pilot ever reaches production.
With a short assessment: an inventory of AI use cases, their risk tiers and the concrete gaps against the AI Act, GDPR and NIS2, followed by a prioritised roadmap.
In phases since the Act entered into force on 1 August 2024. Prohibited practices and AI literacy duties apply from February 2025, general-purpose AI obligations from August 2025, and most high-risk obligations from August 2026 or later. The timetable for high-risk systems may be adjusted by the EU, so plans should be checked against the current official dates.
A concise, no-obligation Project Approach Brief covering your AI use cases, obligations and the first moves.