Field notes on AI transformation
Short, practical writing on discovery, readiness, governance, and architecture — no gated whitepapers, no email wall.
AI Use-Case Scoring Template
The one-page framework we use inside every Discovery Workshop — score any AI initiative on (Impact × Feasibility) ÷ Governance Risk and rank your roadmap by reality, not by whoever pitched loudest. No email wall.
Why AI discovery shouldn't take six weeks
Most AI initiatives stall before they start — not from a lack of ambition, but from a lack of structure. Here's what that structure actually looks like.
The six dimensions of AI readiness (and why most companies only check one)
Most AI readiness conversations start and end with data quality. That's necessary, but it's one dimension out of six.
Consulting expertise vs. platform economics — why not both?
Traditional consulting rebuilds the same deliverables from scratch every time. Generic SaaS has no domain expertise. There's a real gap between them.
A field guide to AI governance for regulated industries
Governance isn't a checkbox you add at the end. In banking, insurance, and healthcare, it has to be part of the design from day one.
From Discovery Workshop to roadmap: what actually happens in five steps
A walkthrough of what a structured AI discovery engagement produces, step by step, and why the order matters.
Why vendor-neutral AI architecture matters more than picking the 'best' model
The model you choose today will not be the model you use in two years. The architecture decisions you make today will be much harder to undo.