Leadership
The four outcomes: how to score any AI project before you fund it
Efficiency, cost, auditability and control. Four questions a leader can ask of any AI proposal — and what a good answer sounds like.
Insights
Practical, unhyped notes on process transformation, governance and measuring results — for leaders who have to make it work in production, in companies and in public bodies.
Latest thinking
Read the field notes
One substantial piece a month, published here and on LinkedIn.
Public sector
From platform to department: why government AI stalls at the last mile
Governments are buying platforms and assistants. The value shows up only when someone rebuilds one department’s process end-to-end, with accountability designed in.
Governance
Controlled AI adoption: a governance-first path for operations leaders
Why the fastest way to get real value from AI in operations is to design human review, approvals, and audit trails in from day one — not bolt them on later.
ROI
The document-workflow ROI model you can defend to your CFO
A practical way to estimate the return on automating a document-heavy workflow — using volume, minutes per document, and the hidden costs of delay.
Delivery
From pilot to production: why operational AI projects stall
Most AI pilots never reach production. The reasons are rarely technical — they are about baselines, governance, and integration planned too late.
New pieces, monthly
Every insight is cross-posted to LinkedIn. Follow the company page or the founder to get the next one.
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