AIVILIM — AI Auditing & Governance

Audit your AI.
Before someone else does.

AIVILIM delivers rigorous, independent AI auditing services grounded in NIST AI RMF and ISO 42001 — the standards global regulators are converging on. We help organizations identify risk, establish accountability, and build trust in their AI systems.

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NIST
AI RMF 1.0
ISO
42001 Compliance
360°
Risk Coverage
// Live Audit Preview
AI System Risk Assessment
— Sample Report
NIST GOVERN 1.1 — Policy & Accountability Structure
PASS
ISO 42001 §6.1 — Risk Assessment Process
PASS
NIST MAP 1.6 — Bias & Fairness Evaluation
PASS
NIST MEASURE 2.5 — Explainability Metrics
REVIEW
ISO 42001 §9.1 — Monitoring & Performance
PASS
EU AI Act Art. 9 — Risk Management System
PASS
What We Do

End-to-End AI
Audit Services

From initial gap assessments to full certification readiness, AIVILIM delivers structured, evidence-based audits tailored to your regulatory environment. Engagements are scoped to the organization — from global enterprises to firms with no dedicated AI governance function.

01
AI Risk Assessment
Systematic identification and quantification of risks across your AI lifecycle — from data provenance to deployment and ongoing monitoring.
NIST MAP ISO 6.1 Risk Register
02
Governance Framework Design
Build internal AI governance structures — policies, roles, oversight bodies, and documentation — aligned to NIST GOVERN and ISO 42001 Clause 5.
NIST GOVERN ISO §5 Policy
03
Bias & Fairness Auditing
Technical evaluation of model outputs for disparate impact, demographic bias, and fairness across protected classes using validated methodologies.
NIST MEASURE Fairness Equity
04
Certification & Conformity Readiness
Gap analysis and remediation roadmaps for ISO 42001 certification, EU AI Act conformity, and emerging assurance schemes including BSI AIC4 and AIUC-1.
ISO 42001 EU AI Act AIC4 / AIUC-1
05
Incident Response Planning
Design and test AI-specific incident response playbooks covering model failure, data breaches, discriminatory outputs, and regulatory notifications.
NIST RESPOND ISO §10 Playbook
06
Ongoing Compliance Monitoring
Continuous assurance programs with periodic reviews, drift detection, and regulatory horizon scanning to keep pace with the evolving AI governance landscape.
NIST MONITOR EU AI Act Retainer
Our Standards Foundation

Built on the Frameworks
Regulators Trust

AIVILIM audits are anchored in the two most rigorous AI governance standards — NIST AI RMF and ISO/IEC 42001 — and extend to the regulatory and assurance regimes shaping the global market: the EU AI Act, BSI AIC4, and AIUC-1.

NIST
AI Risk Management
Framework (AI RMF 1.0)
01
GOVERN
Establish organizational accountability, culture, and policies for responsible AI development and deployment.
02
MAP
Identify and categorize AI risks in context — understanding system purpose, stakeholders, and potential harms.
03
MEASURE
Analyze, assess, and track AI risks using quantitative and qualitative metrics over the system lifecycle.
04
MANAGE
Prioritize and address risks through systematic treatment plans, controls, and residual risk acceptance.
ISO
ISO/IEC 42001:2023
AI Management System
§4–5
Context & Leadership
Define organizational context, stakeholder requirements, and executive commitment to AI management objectives.
§6–7
Planning & Support
Conduct risk/opportunity assessments, establish AI policies, and allocate appropriate resources and competencies.
§8–9
Operation & Evaluation
Implement operational controls for AI system planning, monitor performance, and conduct internal audits.
§10
Improvement
Manage nonconformities, drive corrective actions, and embed continual improvement into the AI management system.
Extended Regulatory & Assurance Coverage
EU AI Act
Reg. (EU) 2024/1689
Risk-tier classification, high-risk system obligations, GPAI transparency requirements, and conformity assessment readiness for organizations placing AI on the EU market.
BSI AIC4
German BSI · Cloud AI
Assessment against the AI Cloud Service Compliance Criteria Catalogue — security, robustness, performance, and explainability criteria for AI services delivered from the cloud.
AIUC-1
AI Agent Assurance
Readiness assessment against the emerging assurance standard for enterprise AI agents — safeguards, security, and accountability controls with audit-ready evidence.
"Organizations that establish trustworthy AI practices today will define the competitive landscape of tomorrow — compliance is not a constraint, it is a capability."
— AIVILIM Advisory Perspective

Ready to establish verifiable trust in your AI systems?

Schedule a Consultation
No commitment. 30-minute discovery call.