EU AI Act · ISO/IEC 42001 · Independent Assurance

EU AI ACT
COMPLIANCE
BEFORE YOUR
COMPETITORS.

Independent AI governance assurance aligned with EU AI Act obligations and ISO/IEC 42001 — built for regulated financial institutions operating high-risk AI systems under active regulatory scrutiny.

Assess Your AI Risk Exposure Download EU AI Act Brief
Aligned with
EU AI ActISO/IEC 42001High-Risk AI
EU AI ActRegulation aligned
ISO/IEC 42001AIMS standard
High-Risk AIClassified systems
GDPR Art.22Automated decisions
Audit-ReadyEvidence packages

The challenge

Claiming AI compliance
is not the same
as proving it.

The EU AI Act is in force. High-risk AI systems require documented governance, traceability, and independent validation. Most organisations have policies — but not the evidence to defend them.

The Act is in force and regulators are watching

The EU AI Act establishes mandatory obligations for high-risk AI systems with enforcement timelines now active. Financial institutions operating credit scoring, fraud detection, or customer-facing AI face compliance requirements most have not yet documented to the required evidentiary standard.

Internal teams cannot objectively assess their own AI

AI governance assessments conducted by the same teams that built or deployed systems carry inherent conflicts that regulators identify immediately. Independent validation with traceable methodology and documented evidence is now the standard regulators and audit committees require.

Engagement models

Two assurance lenses.
One independent standard.

EONTA delivers AI assurance across two structured tracks — classification and governance — each calibrated to regulatory requirements and your attestation timeline.

EU AI Act · Risk Classification

AI Risk Classification

Independent classification of your AI systems under the EU AI Act taxonomy — prohibited, high-risk, limited-risk, and minimal-risk — with documented evidence for each determination.

  • AI system inventory and use-case mapping
  • Risk classification under EU AI Act Annex III
  • Governance control design assessment
  • Human oversight mechanism validation
  • GPAI model compliance review

Classification documented and traceable

Aligned to current implementing acts

Designed for regulatory review and submission

"Do we know which of our AI systems are classified as high-risk under the EU AI Act?"
ISO/IEC 42001 · Governance Assurance

AIMS Control Assurance

Formal assurance over your AI Management System — design effectiveness, control implementation, and audit-ready documentation aligned to ISO/IEC 42001 requirements.

  • ISO/IEC 42001 control gap assessment
  • AIMS design and operating effectiveness
  • Audit-ready evidence documentation package
  • GDPR Article 22 intersection review
  • Traceability and accountability mapping

Independent — no implementation conflict

Evidence-based — not advisory opinion

Structured for regulatory submission

"Can we demonstrate our AI governance to a regulator or auditor — with evidence?"

Core capabilities

What we assess.

Each capability delivers structured, evidence-based evaluation against current regulatory requirements and ISO standard obligations.

AI System Inventory

Scope mapping of all AI systems, use-cases, and data flows — establishing the foundation for accurate risk classification.

EU AI Act Risk Classification

Formal classification under Annex III taxonomy with documented rationale defensible to the AI Office and national regulators.

ISO/IEC 42001 Conformity

Assessment of your AI Management System design and operating effectiveness against the full ISO 42001 control set.

Governance Control Testing

Validation of human oversight mechanisms, transparency obligations, and post-market monitoring controls.

Audit-Ready Documentation

Structured evidence packages — traceability matrices, control assessments, and risk registers — ready for regulatory review.

GDPR & AI Act Intersection

Review of automated decision-making obligations under GDPR Article 22 in the context of high-risk AI system deployment.

How it works

From AI inventory
to regulatory confidence.

A structured four-phase engagement calibrated to your AI Act compliance timeline and internal governance requirements.

Inventory

Map all AI systems, use-cases, data inputs, and decision outputs across your organisation.

Classify

Apply EU AI Act risk taxonomy to each identified system with documented, auditable rationale.

Assess

Evaluate governance controls, human oversight, and ISO 42001 alignment against current implementation.

Document

Produce audit-ready evidence packages — traceability matrices, findings reports, and regulatory-ready summaries.

Why EONTA

Why EONTA
for AI assurance.

Financial Sector Regulatory Context

EONTA's AI assurance methodology is built around the specific regulatory environment financial institutions operate in — not generic compliance checklists. EU AI Act classification in financial services carries sector-specific nuance that generic frameworks miss.

Evidence-Based — Not Advisory

We produce documented, traceable evidence packages — not advisory opinions. The difference matters when regulators ask to see your compliance rationale, not just your policy statement.

No Implementation Conflict

EONTA does not build AI systems, train models, or provide AI consulting. Our only interest is the quality of your governance assurance — which is precisely why our conclusions can be trusted.

Who this is for

Built for those
accountable for AI risk.

EONTA's AI assurance services are designed for the governance functions and executive roles directly accountable for AI compliance, risk oversight, and regulatory standing.

Primary stakeholders

Chief AI OfficersCCOs & Compliance TeamsData Protection OfficersCROs & Risk ManagersInternal Audit FunctionsBoard Audit CommitteesChief Data OfficersRegulatory Affairs Teams

Common engagement triggers

AI Act enforcement timeline approaching

Organisations seeking to classify high-risk AI systems and establish governance documentation before regulatory deadlines.

Regulator or audit committee challenge

Governance functions requiring independent validation of AI governance quality following internal or external scrutiny of AI systems.

New AI system deployment

Institutions deploying new AI in credit, insurance, or customer-facing roles requiring classification and governance assurance before go-live.

Frequently asked

Questions before
every AI engagement.

Under EU AI Act Annex III, AI systems used for creditworthiness assessment, insurance pricing, and customer risk classification are high-risk. Systems used for employment decisions, biometric identification, and certain law enforcement applications also carry high-risk designation. EONTA's classification assessment maps your specific AI systems against current Annex III categories and implementing acts, producing documented rationale for each determination.
The EU AI Act is a regulatory obligation with legal consequences for non-compliance. ISO/IEC 42001 is a voluntary management system standard providing a governance framework for AI. They are complementary: ISO 42001 provides the management structure that supports EU AI Act compliance. EONTA assesses both, identifying where ISO 42001 implementation supports regulatory obligations and where gaps remain.
EONTA produces structured assurance reports with documented evidence — not certification. Certification under ISO 42001 requires an accredited certification body. Our assurance outputs provide the evidence foundation for certification if pursued, and the documentation your regulatory affairs and legal teams need for compliance representations. The deliverable is evidence-grade, audit-ready assurance.
Duration depends on the number of AI systems in scope, their complexity, and documentation maturity. A classification-only engagement for a limited AI inventory typically concludes in 3–5 weeks. A full AIMS assurance engagement covering ISO 42001 and EU AI Act obligations typically requires 6–10 weeks from scope confirmation to final report. A scoped timeline is confirmed at the outset.
Very little at the outset. An initial scoping call requires a general inventory of AI systems in use, their primary functions, and any existing governance documentation. From that conversation, we produce a scoped engagement proposal. All scoping conversations are confidential and carry no obligation to proceed.
Deliverables include: an AI system risk classification register with documented rationale; a governance control assessment report; an evidence package structured for regulatory review; a gap analysis with prioritised remediation recommendations; and a board-ready executive summary. For ISO 42001-scoped engagements, we also produce a readiness assessment against the standard's control domains.
Both. Production AI systems are often the most critical to assess — they are already making decisions with real business and regulatory consequences. Development-stage assessments allow governance to be built in from the outset. Our methodology applies to both contexts, with the evidence collection approach adapted accordingly.
The EU AI Act is a regulatory obligation — it creates legal requirements for high-risk AI systems with enforcement consequences. ISO/IEC 42001 is a voluntary management system standard that provides a governance framework for AI. They are complementary: ISO 42001 provides the management system structure that supports EU AI Act compliance. EONTA assesses both, identifying where ISO 42001 implementation supports regulatory obligations and where gaps remain.
EONTA produces structured assurance reports with documented evidence — not certification. Certification under ISO 42001 requires a certified body. Our assurance outputs provide the evidence foundation for certification if pursued, and the documentation your regulatory affairs and legal teams need for compliance representations. The deliverable is evidence-grade, audit-ready assurance — not a certificate.
Duration depends on the number of AI systems in scope, their complexity, and existing documentation maturity. A classification-only engagement for a limited AI inventory typically concludes in 3–5 weeks. A full AIMS assurance engagement covering ISO 42001 and EU AI Act obligations typically requires 6–10 weeks from scope confirmation to final report. We provide a timeline at the outset.
Very little at the outset. An initial scoping call requires a general inventory of AI systems in use, their primary functions, and any existing governance documentation. From that conversation, we produce a scoped engagement proposal. All scoping conversations are confidential and carry no obligation.
Deliverables include: an AI system risk classification register with documented rationale; a governance control assessment report; an evidence package structured for regulatory review; a gap analysis with prioritised remediation recommendations; and a board-ready summary of findings and compliance status.

Take the next step

Do you know which of your AI systems are classified as high-risk?

Most organisations operating AI in financial services don't have a documented answer. A scoping call with EONTA takes 45 minutes and changes that.

Assess Your AI Risk Exposure Email Our Team

All scoping conversations are confidential. EONTA does not share engagement details with third parties.