Fractional CTO
& AITransformation
I help boards, founders and executive teams turn AI, product and platform decisions into practical delivery, governance and commercial leverage.
Current Focus
"Bridging the gap between legacy stability and future-ready agility."
Dan Crane
CTO, InfoAddict
Strategic Domains
Specialized leadership for organizations at the precipice of significant technological shifts.
Fractional CTO
Providing high-level technical leadership and roadmap development without the overhead of a full-time executive hire.
Digital Transformation
Systemic re-architecting of organizational processes, culture, and technology to thrive in the digital age.
Innovation Strategy
Identifying emerging technologies and business models that create unfair competitive advantages.
Selected Career Highlights
A history of delivering complex projects for market leaders and disruptive startups alike.
Tatts Group
Led the digital overhaul of gaming systems, impacting millions of transactions daily with zero downtime.
Horizon State
Pioneered blockchain-based voting protocols for global NGO and government applications.
Presper Labs
Emerging tech think tank across Asia and the Middle East — CTO across 5 brands simultaneously, delivering 4× team output through frontier model orchestration and agentic automation.
Portfolio Focus
Data-Driven Governance & Scale
"Dan possesses a rare blend of deep technical mastery and sharp business acumen. He doesn't just build systems; he builds the future of the organizations he touches."
Jamie Skella
Technologist & Futurist
Perspectives
Read All Posts
Emerging Tech • 5 Min Read
The Wayfinding Problem: Why Better AI Still Won't Tell You What to Do Next
Every improvement in AI capability makes the next layer of human judgment more, not less, important. Understanding which layer that is might be the most consequential strategic question of the next decade.
Leadership • 5 Min Read
The CEO AI Trap: Why Being the Main Decision-Maker on AI Is the Most Dangerous Place to Be Right Now
The data on CEO AI decision-making in 2026 is striking. Not because CEOs are taking AI seriously, they are. But because the gap between the weight of the decisions and the quality of the support available to make them is growing, not shrinking.
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