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.
Perspectives is where we publish the institutional thinking behind the practice. Each piece is a working position on what good looks like for CEOs, boards, and the technology leaders alongside them.
These are not blog posts. They are not opinion pieces. They are the structural arguments behind how we work, written so that anyone reading them can make better decisions about technology leadership in their own business, 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 →Ready to put the thinking to work?
Thirty minutes. No cost. No pitch. We confirm fit, scope, and timing. If we are not the right fit, we will say so on the call.
Start the conversation