AI Government

Compliance, control, and security for a responsible adoption of Artificial Intelligence

We help your organization identify, classify, and monitor its AI systems to move forward with security, traceability, and confidence.

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The challenge

AI is already in your organization. The question is whether it is governed.

Many companies already use Artificial Intelligence in generative assistants, SaaS tools, process automation, analytics, customer service, and software development. The problem is that this use is not always inventoried, controlled, or documented.

Dispersed use of AI tools

Many teams adopt AI solutions without a centralized view of what tools are being used, for what purpose, and under what level of control.

Sensitive data out of control

Corporate information can end up in generative models or external providers without clear criteria for security, privacy, or traceability.

Lack of evidence before audit

Without defined policies, records, controls, and responsible parties, demonstrating compliance becomes complex and reactive.

Governing AI does not mean stifling innovation.

It means creating the conditions to adopt it quickly, safely and confidently, reducing risks from the design stage.

Regulatory framework

From experimental use of AI to a governed, documented and auditable model

The advancement of Artificial Intelligence requires a shift from isolated initiatives to a governance system capable of identifying risks, assigning responsibilities, preserving evidence, and demonstrating compliance.

Regulation already demands real control.

Organizations need to know what AI systems they use, how they are classified, what obligations apply, and what documentation they must retain in the event of an internal review, audit, or regulatory requirement.

€35M in penalties or up to 7% of annual global turnover for certain breaches.

The goal is not to add bureaucracy, but to turn compliance into an operational model: clear controls, verifiable evidence, and continuous risk management.

EU AI Act

Classification of systems by risk level, applicable obligations, transparency, human supervision and documentation.

ISO/IEC 42001

Preparation towards a structured, measurable and auditable AI Management System.

NIST AI RMF

Framework for identifying, measuring, managing and monitoring risks associated with AI systems.

Service model

From identification to continuous monitoring of AI

We accompany organizations on a progressive journey to discover what AI they are using, streamline their governance, and maintain an operational model with controls, evidence, and monitoring.

01 · Assessment

Discover and diagnose

We identified existing AI systems, unauthorized uses, and the initial level of regulatory exposure.

Inventory of AI systems Risk level classification Gap analysis versus reference frameworks

02 · Implementation

Define the governance framework

We build the policies, records, procedures, and controls necessary to manage the AI lifecycle.

Corporate acceptable use policy Registration and evaluation of systems Human supervision, transparency and evidence

03 · Operation

Operate and improve

We activated a monitoring model to review controls, manage risks, and maintain traceability over time.

Periodic review of controls Executive reporting and regulatory oversight Preparation for ISO/IEC 42001 audit

The objective: AI should advance rapidly, but with visibility, defined responsibilities, active controls, and verifiable evidence.

AI Government Office

A checkpoint between business, technology and compliance

We designed and implemented an AI Governance Office that connects key areas of the organization so that each AI system has responsibilities, controls, evidence, and monitoring.

Align the use of AI with business priorities and regulatory requirements.

Define who decides, who validates, who supervises, and what evidence is retained.

It facilitates faster AI adoption, but with operational control and traceability.

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Connected Government Business, IT, legal, DPO, risk, cybersecurity and management under the same control framework.

Key benefits

Real control to adopt AI with security and trust

AI Governance allows for the transformation of scattered obligations, risks, and decisions into an operational model with visibility, evidence, and continuous improvement.

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Demonstrable compliance

It transforms regulatory obligations into verifiable controls, procedures, and evidence.

Visibility over actual usage

Identify unauthorized systems, tools, vendors, and uses within the organization.

Risk reduction

It helps prevent data leaks, bias, opaque decisions, or lack of human oversight.

Integration with compliance and security

Align AI governance, ISMS, privacy, DPO, legal, risk, SOC and management.

Preparation for ISO/IEC 42001

It facilitates the evolution towards a structured and auditable AI Management System.

Expert support

We combine governance, risk, compliance, cybersecurity, operations, and security applied to AI.

More control, less uncertainty: An AI governance model allows progress with clear roles, defined controls, and traceable evidence.

AI Government

AI is already in your organization. Now it's time to govern it.

Access the content and discover how to move towards a more controlled, traceable, and compliant use of Artificial Intelligence.

AI Government

Do you want to know if your organization is ready to govern AI?

We help you identify what AI systems exist, what risks they entail, and what evidence you need to move forward with security, compliance, and traceability.

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Initial assessment Government Roadmap Continuous control model