Compliance

Turn AI into a
secure, ethical and
certified engine

We align your organization with the most demanding regulations of the digital era without slowing down innovation. Comply to innovate.

FIRST CERTIFIED TECH CONSULTANCY

ISO 42001

Artificial Intelligence management system

Izertis is the first technology consultancy to obtain ISO 42001 certification with AENOR. The standard of excellence that the responsible AI market demands.

THE IZERTIS PROPOSAL

We turn innovation into responsible action.

We deploy a consulting model that not only implements AI, but guarantees its ethical and sustainable governance from day one.

Stand out with certified AI

ISO 42001 positions your organization as a benchmark in the intelligent, secure and responsible use of AI before clients, partners and regulators.

Comply with European regulation

We master the most complex regulatory ecosystem of the digital era: AI Act, GDPR, NIS2, DORA and the entire family of ISO standards specialized in AI.

Ensure transparency and trust

Build trust with stakeholders through transparency and traceability. Every algorithmic decision can be audited, explained and justified.

Drive innovation responsibly

Mitigate regulatory risks before they materialize. Optimize the return on investment in AI projects. Lead with integrity.

ISO STANDARDS SPECIALIZED IN AI

29

Years of history

Technological maturity combined with cutting-edge innovation in digital transformation.

#1

ISO 42001 AENOR

First certified technology consultancy. The responsible AI standard the market demands.

+200

Organizations supported

Public and private organizations in their processes of digital transformation and AI implementation.

TRUSTWORTHY AI FRAMEWORK

Four dimensions for integrated and responsible AI

Our AI Framework integrates four critical dimensions within a robust methodological ecosystem based on ISO/IEC 42001, 38507, 5338 and 8000. We work with you to integrate these capabilities into your existing processes and systems.

STRATEGIC VISION

Organization

→ Structure and Maturity

→ AI Governance

→ Cultural transformation

Integrate AI into strategic decision-making with understandable, auditable results aligned with organizational values. Oversight and control mechanisms under human responsibility.

TACTICAL VISION

People

→ Transformational Leadership

→ Change management

→ Talent management

AI does not replace talent, it empowers it. Reskilling of competencies, digital skills and the strengthening of critical capabilities: ethical thinking, decision-making and oversight of automated systems.

TACTICAL VISION

Technology

→ Data architecture

→ Secure design (AIDevSecOps)

→ Responsible AI models

Security as a cross-cutting principle, not as a final stage. Explainable, auditable models aligned with organizational values. Bias detection and ethical validation of results.

OPERATIONAL VISION

Processes

→ Value Chain Optimization

→ Operational Security

→ Regulatory Alignment

Every AI-driven process is designed in compliance with the AI Act, GDPR, ISO/IEC 42001. Automation does not compromise legality or ethics, and every algorithmic decision can be audited and justified.

METHODOLOGICAL WORKING PRINCIPLES

Learning by Doing

We build, experiment and learn by gathering real data about the challenge to be solved.

User Centric

We explore and define the client's need with experts certified in co-creation and innovation.

Co-Creation

We co-create projects and models that deliver incremental and disruptive innovation with stakeholders.

Lean & Agile

Short development cycles to learn more from the process and optimize efforts, avoiding inefficiencies.

AI SecOps

Adoption and implementation plans that guarantee secure use and management of the system from the outset.

INTEGRATED AI MANAGEMENT MODEL

The system that brings it all together

We approach the processes of the AI management system under the ISO/IEC 42001 model, connecting governance, risk, lifecycle and quality within a single coherent framework.

APPLICABLE LEGISLATION AND OBLIGATIONS

AI ACT

European Union AI Regulation

Approved on 14/05/2024. The reference regulatory framework for AI systems in the EU.

GDPR

General Data Protection Regulation

Applicable to all AI systems that process personal data.

NIS2

Directive on the Security of Network and Information Systems

Strengthens cybersecurity requirements for critical organizations.

DORA

Digital Operational Resilience Act

Applicable to the financial sector and its technology providers.

AI LAW

Draft law for the "good use and governance of AI"

Applicable to the financial sector and its technology providers.

5 INTERRELATED STANDARDS - ISO/IEC 42001 CORE

ISO/IEC 42001

AI Management System

The core standard. An ethical and responsible management framework. Izertis's first certification with AENOR.

ISO/IEC 23894

AI risk management

Guidance for identifying, assessing and treating risks specific to artificial intelligence systems.

ISO/IEC 23053

AI systems with continuous learning

A framework for managing AI systems that evolve and adapt in production.

ISO/IEC 38507

IT governance and the implications of AI

Corporate governance of the use of AI. Implications for the board and senior management.

ISO/IEC 5338

AI systems lifecycle

Processes for the development, deployment, operation and maintenance of AI systems.

STANDARDIZATION AND COMPLIANCE SERVICES

From strategy to continuous operation

We support your organization across the five stages of the complete AI adoption cycle, ensuring consistency, compliance and value creation at every phase.

1

AI Strategy

Vision, objectives, governance and roadmap. Deep alignment between technology and business goals.

→ Current-state assessment

→ Governance definition

→ Implementation roadmap

→ Identification of quick wins

2

Use cases

Ideation, evaluation and prioritization of the value creation of AI solutions and applications.

→ Opportunity analysis

→ Impact and feasibility assessment

→ Prioritization by value and risk

→ Prior ethical validation

3

Data management

Availability and access to high-quality structured data. AI quality begins with data quality.

→ Scalable data architecture

→ Governance and traceability

→ ISO/IEC 8000-61/62 MADM Model

→ Data quality and maturity

4

AI development

The complete lifecycle: from model selection to the development of AI solutions.

→ Model selection and evaluation

→ Integrated AIDevSecOps

→ Testing and ethical validation

→ ISO/IEC 5338 — lifecycle

5

Operation

AI/ML Ops and continuous improvement. AI in production with monitoring, governance and evolution with no downtime.

→ MLOps and continuous monitoring

→ Drift and bias detection

→ Compliance auditing

→ Data-driven continuous improvement

SERVICE

DESCRIPTION

Security Master Plans

Support to senior management on cybersecurity strategy. Implementation and prioritization of security projects aligned with AI.

Risk Analysis and Management

Plan and treatment of identified risks. Proposal of security measures adapted to the risk profile of AI systems.

GAP Analysis

Assessment of the starting point and the effort required to achieve regulatory compliance with the AI Act, ISO 42001 and other frameworks.

Alignment to the standard

Implementation and rollout of the Management System according to different national and international regulatory frameworks.

Business Continuity Plans

Implementation of disaster recovery strategies. Minimizing the impact of incidents that affect availability.

Data protection

GDPR regulatory alignment, Data Protection Officer (DPO) services and specialized legal advice.

Compliance auditing

Validation of regulatory requirements. Predictive analysis of non-compliance. Integration of regulatory and legal processes. Optimization.

Do you know whether your AI
complies with current regulation?

Request an initial GAP analysis to find out where you stand with respect to the AI Act and ISO 42001. No commitment.