AI tools have proliferated across enterprises faster than governance structures can adapt. Your employees are already using ChatGPT, Copilot, Claude, and dozens of other AI tools—often without official sanction, proper training, or adequate oversight.
This creates a cascade of risks:
A structured path from uncontrolled experimentation to enterprise-grade capability.
We start by mapping your actual AI footprint—not just sanctioned tools, but shadow usage across teams. Most organisations significantly underestimate how much AI is already embedded in daily workflows.
We evaluate your current state against a practical governance maturity model. No theoretical frameworks—just clear ratings across policy, oversight, data protection, compliance, and cost control.
We turn assessment results into prioritised, executive-ready actions aligned to your risk and governance environment—covering controls, oversight, data protection, compliance, and cost.
If needed, we help you build and deploy governance structures: policies, approval workflows, monitoring tools, and training programs that stick.
We're not theorists warning about AI from the sidelines. We build with it, break it, and understand its failure modes from direct experience.
The same risks manifest across industries: the developer who pastes customer data into ChatGPT, the executive who bases decisions on hallucinated statistics, the team that racks up five figures in API costs before anyone notices.
Our goal isn't to slow down your AI adoption—it's to make it sustainable. Good governance enables innovation by removing the uncertainty that makes stakeholders nervous.
Brings 30+ years of enterprise technology experience, having delivered solutions for Lloyd's of London, BP, Shell, the Ministry of Defence, and dozens of global organisations. He's a published author, AI practitioner, and founder of social enterprises partnered with the World Bank and UNICEF.
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