CIO in a diversified professional services firm.
Operating at the point where technology decisions, commercial priorities, and organisational reality all meet.
I’m David Hanus, the person behind Adapt2. After 25 years across enterprise technology and the last several focused hard on AI, I work with CIOs, CDOs, and strategy leads on AI programs that need to work in practice, not just on paper.
The enterprise record matters because this work sits at the intersection of strategy, architecture, delivery, governance, and executive decision-making. It is not AI theatre layered on top of a thin operating background.
Operating at the point where technology decisions, commercial priorities, and organisational reality all meet.
Built the practice from zero to more than $20M in revenue and a team of 70+, with the operating pressure that comes from growing real client work fast.
Strategy and architecture work in organisations where governance, scale, and long-lived systems are real constraints, not slideware.
The practitioner side is not an add-on. It is the part that keeps the strategy honest.
LLMs, agents, production systems, and the governance and data-foundation questions that decide whether the work survives first contact with reality.
Founder of a funded AI-first startup, with the product, customer, and delivery pressure that comes with actually shipping the work.
Retained plugin and workflow demonstrations that show how ideas translate into concrete tools, not just conceptual positioning.
Practical work across sectors where the hard part is always the combination of regulatory sensitivity and commercial pace.
B. Commerce (Accounting & Finance) and B. Science (Computer Science).
Melbourne Business School futures thinking, plus INSEAD programs in leadership, innovation, organisational change, and communications.
Currently completing Anthropic’s architect certification while working with enterprise buyers and consulting partners across Australia.
Based in Melbourne, working across Australia with enterprise buyers and consulting partners who need a senior operator who can both shape and prove the work.
If the mix of enterprise depth and practitioner AI work is the gap, a working session is the fastest way to see whether the situation needs a review, a blueprint, a validation sprint, or a smaller first move.