Practical tools and honest analysis for leaders who want AI to show up in margins, not just dashboards.
10-minute interactive self-assessment. Immediate result: your maturity level (1–5) and your top profitability leak.
The visible and hidden costs that erode software margins, the metrics that expose them, and a worked example you can run on your own numbers.
What an engineering team should actually track, why activity OKRs fail, and worked examples built on delivery metrics.
A four-step method to put a monthly price on the work your team does twice — with a worked example.
What guardrails are, what happens without them, and the five categories every team needs.
Usage is not results: the signals of adoption theatre, and how to measure whether AI is reaching your P&L.
The generation–verification asymmetry, four more mechanisms — and the guardrails that prevent them.
Three philosophies of AI-assisted development, where each fits — and why the operating model decides ROI.
Six failure mechanisms, what works instead — and how to make agile work in a small NZ software company.
What a consultant actually does, coaching vs consulting, cost, and how an engagement works.
The five-link chain from outcomes to delivery OKRs, where it usually breaks, and what lean product management means for B2B software.
Discovery, validated learning and value-based prioritisation — the service behind the guide.
We publish when a piece is ready, not to fill a calendar. Drafts are labelled as drafts and kept out of search indexes until complete.