AI Strategy & Governance
Your team is already using AI. The question is whether you know about it.
Frameworks, policies, and deployment strategies that close the gap between what your people are already doing with AI and what your regulators expect.
The Problem
Shadow AI is not a future risk. It’s a current one.
Your teams are already using AI tools you haven’t approved, configured, or secured. ChatGPT in a browser tab. Copilot with default settings. Third-party AI features buried inside SaaS tools you thought you understood.
Every week without governance is another week of uncontrolled data exposure, intellectual property risk, and regulatory non-compliance. The longer you wait, the harder it gets to bring AI usage under control without disrupting the productivity gains your people are already relying on.
What We Deliver
Governance that works in production, not just on paper.
Six capabilities that take you from reactive to proactive.
AI Governance Frameworks
Your board gets confidence. Your teams get clarity. Your regulators get a framework they can inspect. Built for your context, not borrowed from a tech company blog.
Shadow AI Assessments
Your people are already using ChatGPT, Copilot, and a dozen tools you haven't sanctioned. We find the gaps, quantify the risk, and close them without killing productivity.
Enterprise AI Deployment
Proof of concept to production. Tool selection, configuration, and rollout — with governance built in from day one, not bolted on at the end.
Acceptable Use Policies
Clear, enforceable policies that tell your people exactly what they can and can't do with AI. Written in plain English, not legal boilerplate.
Data Governance for AI
AI tools don't respect data boundaries unless you build them. Classification, protection, and governance so your models see what they should — and nothing else.
AI Risk & Compliance
EU AI Act, ISO 42001, sector-specific regulations. Mapped to your actual AI usage, not a theoretical risk register.
Why VFS
We built an AI product. That changes what we can tell you.
Most governance consultancies have never shipped an AI product. We built one — Zeodyn™, from concept to production. We’ve made the trade-offs, managed the data risks, and lived with the governance decisions that only become real once a system is in production.
That’s what separates advice informed by theory from advice informed by doing. Governance in production looks nothing like governance on a whiteboard.
Next Step
Ready to govern AI properly?
Start with a shadow AI assessment. Or scope a full governance programme. Either way, start.
Talk to us