Real frameworks from real engagements. Scaling, AI readiness, leadership, decision-making - written from the trenches, not the ivory tower.
Speed is not the default virtue of the AI era - judgment is. Three verified case studies (CrowdStrike, Air Canada, Knight Capital) show what happens when velocity outpaces readiness. Includes the Velocity Risk Matrix: a two-axis framework for classifying every process by reversibility and blast radius, and five categories that must stay permanently slow.
The PM is absorbing four roles - Research Director, Project Manager, Designer, and with the right developer infrastructure, feature development itself. Simultaneously becoming the knowledge architect every AI system depends on. Grounded in DORA metrics, SPACE framework, Teresa Torres, Marty Cagan, and Karpathy's vibe coding. Includes a provocative 2027 PM job description and four counterarguments worth fighting about.
A practical method for adding new KPIs with the rigor product teams use for features. Built on the Three Pillars (Outcome / Execution / Foundation). Includes a step-by-step AI-native implementation using Google Workspace + Claude - one operator, 90 minutes, end-to-end (define, collect, calculate, track, feedback, update, communicate) - plus a dedicated security, compliance, and cost-risk chapter with a 12-item pre-launch checklist. Grounded in Parmenter, Grove, Doerr, Cagan, Kaplan & Norton, Sean Ellis. Includes a worked example and a poker case study.
95% of GenAI pilots fail. 67% of AI adopters work more hours, not fewer. 60% of agentic projects fail this year for one reason: bad data. The structural problems AI can't fix, the new ones it's creating, the stacked migration nobody's talking about, and 7 predictions for 2027-2030.
Goodhart's Law, Wells Fargo's $3B scandal, the UK PPI crisis, why CSAT is expensive theater, and how isolated departmental KPIs create internal civil wars between Risk and Product. With research and a 5-principle framework for healthier KPI architecture.
Every problem you don't catch now costs 10x more at the next scale. The math behind prevention, the three categories of findings (leaks, bottlenecks, risks), and when to assess.
5-stage framework to move organizations from AI experiments in engineering to AI as operating model. Built for banking, fintech, insurance, healthcare. Operator-led, vendor-neutral.
What pure-analyst DD misses - and how operator-led DD catches deal-breaking risks before you commit capital. 5-phase framework for VCs.
5-dimension framework, step-by-step process, and a free interactive checklist. Most companies aren't AI-ready - here's how to know where you stand.
The honest version: why I left, what I underestimated, and what I learned about consulting in the first 6 months.
Notes from a Marshall Rosenberg workshop. The four-step framework that transforms how leaders give feedback and navigate conflict.
Why working harder stops working - and what to do instead. A practical framework for getting the most from yourself.
