How we think about technology leadership.
Long-form thinking on what good technology leadership looks like right now. Written for CEOs, boards, and the technology leaders working alongside them. Published when the thinking is ready, not on a schedule.
Four working positions. Not blog posts.
The structural arguments behind how we work, written so that CEOs, boards, and the technology leaders alongside them can make better decisions whether or not they ever speak to us.
Frame AI Before You Activate It
Most businesses are doing AI in the wrong order. Tools first. Pilots first. Vendors first. Then governance scrambled together when the questions arrive. This perspective makes the case for framing AI through governance, enablement, and measurement before scaling, and explains what that actually looks like in practice.
Read the perspective →Every AI Workload Must Earn Its Model Tier
AI workloads should not stay on expensive models by default. The EARN framework helps leaders prove value, assign capability, refine economics and review model decisions as the market changes.
Read the perspective →Your Sprint Board Is Not an Implementation Backlog
AI use cases should not be treated as one giant implementation programme. EVA gives leaders a practical way to move from a prioritised Sprint Board to evidence, capability and acceleration.
Read the perspective →Australia's New AI Disclosure Rules
Australian privacy law is being updated, effective 10 December 2026, to require many businesses to disclose automated decision-making in their privacy policy. What's actually required, who it affects, and what being ready looks like.
Read the perspective →Ready to put the thinking to work?
A working conversation about where you are and what needs to change. No pitch. If we are not the right fit, we will say so.
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