Nuvexia provides AI governance advisory — AI audits and AI assurance — for organisations operating in Singapore, Europe, and India. Our methodology is built on the EU AI Act, the NIST AI Risk Management Framework, Singapore's MAS AI risk management guidelines and IMDA's AI Verify framework, and India's AI Governance Guidelines, so clients get one coordinated programme instead of separate, disconnected efforts per market.
One evidence base · Multiple compliance outputs · No duplicated work
AI Audit vs. AI Assurance — What’s the Difference?
They get used interchangeably, but they’re different services. Buyers searching for one often need to understand both before they know which they actually need.
A systematic, evidence-based review of an AI system or governance programme against a defined standard — producing a findings report of gaps, risks, and recommendations.
The ongoing practice of giving stakeholders — regulators, customers, boards, partners — continued confidence that an AI system or programme keeps operating as claimed.
Nuvexia offers both: point-in-time AI audits for a specific system or regulatory deadline, and ongoing AI assurance programmes for organisations that need continuous, defensible evidence.
Our Cross-Framework Methodology
Rather than a separate assessment per regulation, we use NIST AI RMF’s four functions — Govern, Map, Measure, Manage — as a single operating backbone, then cross-walk evidence against ISO/IEC 42001 and each region’s expectations.
Govern
Senior management accountability, policy, and governance structures — who owns risk and how decisions are made.
Map
AI system inventory, use-case risk tiers, and stakeholder impact mapping — what you have and where exposure sits.
Measure
Bias, robustness, performance and safety checks — including AI Verify-aligned technical and process evaluations.
Manage
Risk treatment, monitoring, incident response and evidence management — the loop that keeps assurance alive.
One evidence base, multiple compliance outputs — rather than duplicated work across jurisdictions. Cross-walked to ISO/IEC 42001 for certification-readiness.
Regional Coverage
Coverage as of August 2026 — dated because all three jurisdictions are changing frequently.
EU AI Act — risk-tiered law (unacceptable / high / limited / minimal) with extraterritorial reach to non-EU organisations affecting people in the EU.
Timeline per Digital Omnibus adopted 29 June 2026.
Regional sections carry dateModified: 2026-08-31 in Article schema due to frequent regulatory change.
What an AI Audit & Assurance Engagement Includes
From applicability screening to ongoing assurance — sequenced by regulatory deadline and business impact.
STEP 01
STEP 01
Which frameworks actually apply
We screen your AI systems against where you operate — Singapore, Europe, India — and map which regulations and frameworks are in scope before any assessment begins.
STEP 02
STEP 02
Against the relevant framework(s)
Evidence-based gap assessment against NIST AI RMF, ISO/IEC 42001 and the region-specific obligations identified in scoping — one evidence base, not duplicated per market.
STEP 03
STEP 03
What you have, what you can prove
Full inventory of AI systems, models, data flows and owners, with review of existing policies, logs, and governance artefacts.
STEP 04
STEP 04
Technical + process checks
Testing and validation including AI Verify-aligned technical and process checks where relevant, plus framework-specific evaluations.
STEP 05
STEP 05
Gaps, risks, recommendations
Findings report with gaps, risks and a prioritised remediation roadmap — sequenced by regulatory deadline and business impact.
STEP 06
STEP 06
Confidence over time
Continuous monitoring, evidence management and periodic re-assessment to sustain assurance and prepare for re-certification.
Who This Is For
You need one coordinated AI governance programme instead of siloed regional efforts.
Navigating MAS AIRM in Singapore and/or RBI FREE-AI in India.
You want certification-readiness or voluntary testing with audit-grade evidence.
You have EU customers, users or data flows and need to confirm applicability and risk tier.
Deeper dives
This pillar links to our existing guides — EU AI Act · MAS / financial services · PDPA · AI Verify · ISO/IEC 42001. Each deeper page links back here as the umbrella.
Frequently asked questions
An AI audit is a point-in-time, evidence-based review against a defined standard, producing a findings report. AI assurance is the ongoing practice of maintaining stakeholder confidence over time, often incorporating periodic audits as one part of a broader monitoring and attestation programme.
No — they're separate. MAS's Guidelines on AI Risk Management (AIRM) are supervisory guidance specifically for MAS-regulated financial institutions. AI Verify is a voluntary testing toolkit managed by the AI Verify Foundation, open to organisations in any sector. Nuvexia works with both, as distinct engagements or combined where a client needs both.
Yes, where the company places an AI system on the EU market or where the AI system's output affects people in the EU — similar extraterritorial reach to GDPR.
No — as of this writing it takes a voluntary, techno-legal approach favouring self-certification and sandboxes. However, adjacent rules are binding: the 2026 IT Amendment Rules on Synthetically Generated Information impose real labelling and traceability obligations on intermediaries.
NIST AI RMF is a voluntary, US-origin risk-management framework built around four functions (Govern, Map, Measure, Manage). ISO/IEC 42001 is a certifiable international AI management system standard. Nuvexia uses NIST AI RMF as the operating methodology and ISO 42001 as the certifiable structure — the two are complementary, not competing.
Yes — that's the core purpose of Nuvexia's cross-framework methodology: one evidence base mapped to each relevant regulation, rather than separate, duplicated assessments per market.
One programme, three markets
One evidence base mapped to EU AI Act, NIST RMF, MAS AIRM, AI Verify and India guidelines — rather than separate, duplicated assessments per market.
Singapore · Europe · India · AI audits and ongoing assurance