About Steven Vaile
He has spent more than 30 years at the intersection of advanced technology, commercial growth and governance, with senior roles and transaction experience across businesses acquired by IBM, EMC and BMC. His career began in the Royal Navy, working on complex control systems, and developed through leadership positions in causal and root cause analysis software, where repeated exposure to high-stakes infrastructure shaped a lasting understanding of how systems fail and why governance decisions matter.
That perspective continued through founding and scaling businesses across the Gulf and South-East Asia, including work on Cambodia's first credit bureau and the expansion of Mad Monkey across multiple jurisdictions.
Today he serves as board adviser and director to a number of companies in deep technology, including advanced AI, quantum technology and cyber security, advising on policy, effective adoption, disruption and preparedness for emerging technologies. The thread throughout has been causal analysis — first applied to complex technical systems, and now to board decision-making, risk and strategy.
The differentiator
Causal analysis
Most governance problems have a root cause that is not the presenting problem.
A board approves an AI investment because the CTO sounds confident and the data looks compelling. Eighteen months later, the deployment has not produced the return the board approved it for. The standard response is to question the technology, the team, or the market timing. The causal analysis response is to go one level back: the board approved a proposal it could not evaluate because no-one in the room had the right framework to ask the question that would have revealed the gap. The technology was fine. The governance was not.
This is what Steven's background produces in practice. Not a framework from a consulting playbook. A methodology — developed across Navy engineering, enterprise software exits, institutional consultancy, and commercial AI operations — for identifying where decisions actually fail, as opposed to where they appear to have failed.
That methodology applies directly to board AI governance. It is the reason the causal analysis background matters more than any individual credential.
How Steven works
Engagements typically begin with a paid board assessment — a structured review of where the company sits on AI maturity and what the governance gaps are. That assessment runs two to three days and produces a written report the board can act on. From there, the relationship extends to a formal advisory board position: quarterly meetings, ad hoc availability between meetings, and a written perspective on one significant technology governance decision per quarter.
The position is independent. There is no firm behind it, no secondary interest in a follow-on engagement, and no conflict with the advice.
For deep tech founders, the engagement is project-scoped. Steven audits current commercial messaging, runs a workshop with the founding team, and delivers a repositioned value proposition, sales narrative structure, and website messaging framework. The deliverable is a document that can be applied immediately.
