Know where you stand before the risk finds you.


A structured, phased process built around recognized governance frameworks and calibrated to your organization’s risk profile.


Most providers offering AI governance services work from the outside in, frameworks, interviews, a report. V2Soft is different. We've actually built and deployed AI in regulated environments. That changes what we look for, what we find, and how we explain it to your leadership team.
28 years of delivery experience across regulated industries. Assessments built on frameworks your regulators already recognize.

You don't need another framework document.
You need to know where your AI risk actually sits.
Start with a conversation, no commitment, no pitch. Just clarity on where to focus and what a meaningful AI governance assessment service looks like for your organization.
Q1. What exactly is an AI governance assessment service?
So basically it is an independent, evidence based review of where your AI program actually stands on risk, controls, and framework alignment. We look at what is genuinely running in production, not just what is documented, and give you a scored picture of your AI risk posture across NIST AI RMF, ISO 42001, and EU AI Act.
Q2. Do you only work against NIST AI RMF or other frameworks too?
No, not just NIST AI RMF. Our NIST AI RMF assessment consulting covers all four functions, Govern, Map, Measure, and Manage. Alongside that we work against ISO 42001 AI management system standards and EU AI Act compliance requirements. Every gap ties back to a specific framework function.
Q3. Is a control inventory the same as a gap analysis?
Not exactly, no. The control inventory documents what AI related controls you actually have in place and checks whether they are being tested properly. The AI compliance gap analysis then identifies where the design or coverage falls short and what needs fixing. They work together but they are two separate things.
Q4. What does the risk taxonomy recommendation actually cover?
It covers how AI risk should be defined, categorized, and integrated into your enterprise risk taxonomy. A lot of organizations have AI risk floating somewhere between their technology and risk teams without a proper home. This recommendation sorts that out.
Q5. How is your approach different from standard AI governance advisory firms?
Honestly the big difference is that we have actually built and deployed AI in regulated environments ourselves. Most providers offering AI governance services work from the outside in, frameworks, interviews, a report. We bring practitioner insight from real world AI delivery which makes the findings sharper and the recommendations more grounded.
Q6. The roadmap is the final phase. How is it different from a standard action plan?
So the AI governance roadmap covers near, medium, and long term initiatives, each mapped to a specific business or technology owner. It is written around risk outcomes rather than just technical tasks. The people responsible for delivery can actually pick it up and use it.
Q7. Is there a follow on contract or platform recommendation at the end?
No, not at all. Our work is purely diagnostic and advisory. No platform attached, no implementation contract waiting at the end. You get an honest independent view of where your AI risk management stands and you decide where to take it from there.
Q8. How do we know the findings will make sense to our board and not just our technical team?
Every deliverable is written specifically for board and audit committee level audiences. The Executive Summary translates technical findings into plain business risk language. The Stakeholder Readout is a live presentation your risk, compliance, and internal audit leads can sit through and follow without needing a technical background.