To be the most trusted independent authority in AI auditing — empowering organizations to deploy AI with confidence, accountability, and verifiable integrity.

We founded AIVILIM on a simple premise: as AI systems take on greater responsibility in decisions that affect people's lives, the need for independent, credible oversight becomes not just important — but essential. Our work gives organizations the documentation, structure, and confidence to stand behind their AI deployments in front of regulators, boards, and the public.

01
Independence above all
We sell no software, no platforms, no tools. Our only product is an objective assessment. That independence is the foundation every finding we deliver is built on.
02
Standards-grounded rigor
Every engagement maps directly to NIST AI RMF 1.0 and ISO/IEC 42001:2023 — the frameworks regulators and certification bodies are converging on globally.
03
Findings that are actionable
An audit that produces a report nobody reads changes nothing. We deliver findings tied to clear remediation steps, timelines, and ownership.
04
Accountability by design
We hold ourselves to the same standard we hold our clients. Our methodology is documented, our reasoning is transparent, and our work is defensible.

The principles we audit by

Integrity
We say what we find, not what clients hope to hear. A clean audit that misses real risk is worse than no audit at all.
Precision
Vague findings create vague remediation. Every observation we make is specific, evidence-backed, and traceable to a control or clause.
Partnership
We engage as a trusted partner, not an adversarial inspector. Our goal is to help organizations improve, not simply to document their gaps.
Transparency
Our methodology is open. Clients always understand how we reached our conclusions and what evidence we relied on.
Continuous Learning
The AI governance landscape evolves constantly. We invest in staying at the leading edge of regulatory development, standards updates, and emerging risk patterns.
Accountability
We stand behind our work. If an engagement produces a finding that proves incorrect, we own it — and we make it right.

Experienced leadership.
Purpose-built for this moment.

MD
Managing Director
Founder & Managing Director
AIVILIM
AI Auditing & Governance Advisory

Focus Areas
NIST AI RMF · ISO 42001
AI Governance · Risk Management
Healthcare · Public Sector · Enterprise

The Managing Director of AIVILIM brings over 20 years of program and project management, consulting, and delivery leadership across healthcare, public sector, and private enterprise — anchored by deep expertise in technology and cybersecurity.

That background isn't incidental to AIVILIM's work — it's the foundation of it. Effective AI auditing requires understanding how large organizations actually build, deploy, and govern complex systems. It requires knowing how regulated industries operate under oversight pressure, what boards and compliance teams actually need from an independent assessment, and how to translate technical risk into language that drives action.

AIVILIM was founded on the conviction that the AI governance market needed an independent firm built around structured methodology, framework fluency, and delivery discipline — not just advisory opinions. That conviction shapes every engagement we take on.

Experience
20+ Years
Sector Coverage
Healthcare · Gov · Enterprise
Primary Frameworks
NIST AI RMF · ISO 42001
Discipline
Program Mgmt · Cybersecurity

A methodology built for rigor,
not paperwork.

Every AIVILIM engagement follows a structured four-phase process designed to produce findings that are evidence-based, audit-trail ready, and immediately actionable.

PHASE 01
Scoping & Context
Define system boundaries, intended use, stakeholder map, and applicable regulatory obligations before a single control is assessed.
PHASE 02
Evidence Collection
Structured interviews, document review, and technical assessment against NIST AI RMF and ISO 42001 clause requirements.
PHASE 03
Analysis & Findings
Control-level findings rated by severity and priority, mapped to specific framework clauses, with root cause analysis for each gap identified.
PHASE 04
Remediation Roadmap
A prioritized action plan with ownership assignments, timelines, and success criteria — so findings translate directly into organizational change.

Ready to put independent oversight behind your AI program?

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