I'm Robert Kehoe — CTO, board advisor, and CISSP-certified cybersecurity leader. Twenty years steering engineering and security organisations through change, now focused on helping boards and executive teams navigate AI transformation and Cybersecurity with a clear-eyed view of both the opportunity and the risk.
Most AI and cyber advice at board level is abstracted from delivery. I've spent two decades leading engineering and security organisations through transformation — and I'm still close enough to the work to tell the difference between a real agentic opportunity and a vendor pitch.
Engagements are structured around the decisions boards and executives face now: AI transformation roadmaps, cyber posture reviews ahead of funding or audit, technology strategy for agentic products, and regulatory exposure in AI-adjacent workflows.
Roadmaps for boards and executive teams that separate genuine agentic opportunity from vendor theatre. Where to invest, where to wait, and how to measure progress.
Board-level oversight frameworks, risk reporting that reflects reality, and readiness ahead of regulatory, investor, or acquisition scrutiny.
Pre-investment and pre-acquisition reviews of engineering organisations, security posture, and AI claims — with a view sharp enough to see through the deck.
Executive technical leadership during transitions, scaling pressure, or post-incident rebuild periods. Senior judgement, available immediately.
The advantage I bring to the boardroom isn't theory — it's a track record of driving AI transformation and shipping agentic products inside real organisations. Below is a snapshot of what that looks like.
As CTO and head of engineering, I've led organisations through product transformation, security maturity programmes, and the shift to AI-native product development. Current focus: helping leadership teams translate agentic AI from proof-of-concept into operational advantage.
Areas I know deeply enough to lead or advise with conviction.
I don't only talk about this — I'm actively building with it, so the advice stays current.
My career has moved between software engineering, cybersecurity, and executive leadership — typically in environments where regulation, adversaries, or scale made the margin for error small. That's shaped how I think about AI: cautiously optimistic, sharply practical.
What boards and executive teams get from working with me is senior judgement informed by current delivery. I still get my hands dirty with the technology I advise on, because the alternative — advising from a position outside the work — is how bad decisions get made.
Prefer email or a LinkedIn message? Both inboxes are mine and I read them. A couple of sentences on context is usually enough to work out a next step.