Build Trust. Demonstrate Compliance. Reduce AI Risk.

Independent AI audits aligned with ISO/IEC 42001 Artificial Intelligence Management Systems (AIMS) and the NIST AI Risk Management Framework (AI RMF) — helping organizations govern AI responsibly and confidently.

 
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Trust Seal - Reduced Text
ISO 42001
NIST AI RMF
Evidence-Based
AUDIT VERIFIED
94/100
AIMS Maturity Index

Live Audit Trust Seal

Score, standard tags & evidence badge

Independent Assessors

Vendor-Neutral

Global Best Practice

Two audits.
One complete picture of your AI governance posture.

Veloraa AI Auditing Services

Audit Cards
ISO/IEC 42001

AI Management System Audit

A structured assessment of your organizational AI Management System against ISO/IEC 42001 requirements — from leadership commitment through operational controls.

Evaluated
Leadership Governance AI Policy AI Risk Management AI Lifecycle Management Documentation Competence Monitoring Continual Improvement Internal Audit Readiness Management Review Controls Implementation
Deliverables
  • Gap Assessment Report
  • Compliance Score
  • Nonconformity Report
  • Recommendations
  • Executive Dashboard
  • AI Governance Roadmap
NIST AI RMF

NIST AI RMF Assessment

A risk-based evaluation across the framework's four core functions, assessing trustworthiness characteristics from governance through deployed operation.

GOVERN

Culture, policy and accountability for AI risk across the organization.

MAP

Context, use-cases and impact identified across the AI lifecycle.

MEASURE

Risks analyzed, benchmarked and tracked with rigorous methods.

MANAGE

Risks prioritized and treated, with resources allocated to respond.

Evaluated
AI Risk Governance Trustworthiness Explainability Transparency Accountability Fairness Privacy Security Safety Human Oversight
Deliverables
  • AI Risk Heatmap
  • Maturity Assessment
  • Executive Summary
  • Risk Register
  • Improvement Roadmap

Audit Scope

What falls inside a Veloraa AI audit

AI Governance
Policies
AI Models
GenAI Applications
LLMs
Machine Learning
Prompt Engineering
AI Vendors
Third-Party AI
Responsible AI Controls
Data Governance
Security Controls
Human Oversight
Model Monitoring
Incident Management
Compliance Documentation

Industries Served

Governance built for regulated, high-stakes environments

Implementation follows a sequenced four-phase programme — building GOVERN first, then MAP, then MEASURE and MANAGE in parallel, before integrating the full programme and validating operation.

Healthcare
Financial Services
Insurance
Government
Education
Retail
Telecommunications
Manufacturing
Energy
Technology

Benefits

The difference an independent audit makes

01

Without AI Audit

  • Reactive posture
  • Unknown risks
  • Poor governance
  • Low stakeholder trust
  • Manual compliance
  • Limited visibility
     
 

02

With Veloraa Audit

  • Proactive governance
  • Clear AI accountability
  • Improved trust
  • Better compliance
  • Reduced AI risk
  • Executive visibility
  • Regulatory readiness
  • Responsible AI adoption
     

Ready to Build Trust in Your AI?

 Whether you’re preparing for ISO/IEC 42001 certification, assessing AI governance maturity, or implementing the NIST AI RMF, Veloraa helps you identify risks, strengthen governance, and demonstrate responsible AI practices with confidence.

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FAQ

Questions from executive teams and audit leads

Start with a discovery call. We will review your current AI risk posture, agree on programme scope, and give you a realistic picture of what the NIST AI RMF build involves for your organization.

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What is an AI audit?
An AI audit is an independent, evidence-based assessment of how an organization governs, manages and controls its AI systems — evaluating policies, processes, technical controls and risk management against recognized standards such as ISO/IEC 42001 and the NIST AI RMF.
Any organization that develops, deploys or procures AI systems and needs to demonstrate structured governance to regulators, customers or partners — particularly in regulated sectors such as financial services, healthcare, insurance and government.
ISO/IEC 42001 certification is currently voluntary in most jurisdictions, though it is increasingly requested in vendor due diligence, procurement and regulatory engagement as evidence of responsible AI governance.

ISO/IEC 42001 is a certifiable management-system standard defining requirements for an AI Management System. The NIST AI RMF is a voluntary risk-management framework organized around four functions — Govern, Map, Measure and Manage. Many organizations use both together.

Timelines vary with the number of AI systems in scope and organizational maturity. A focused assessment typically runs four to eight weeks from discovery through executive presentation.

Typical evidence includes AI policies, risk registers, model documentation, monitoring logs, incident records, vendor agreements and records of management review — tailored to the systems in scope.

Yes. We scale methodology to organizational size, focusing on the governance foundations that matter most at each stage of AI maturity.
Yes. We support internal audit programs required under ISO/IEC 42001 Clause 9.2, including planning, execution and reporting ahead of external certification audits.
Every engagement includes a corrective action plan and governance roadmap, with the option of ongoing advisory support to close identified gaps.
We recommend an annual assessment at minimum, with interim reviews following material changes to models, data sources or regulatory obligations.
Yes. Our scope explicitly covers GenAI applications, LLM deployments and prompt engineering practices, alongside traditional machine learning systems.
Yes. Veloraa does not sell AI platforms or models, so our findings and recommendations are never shaped by a product agenda.
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