Guides
Transformation and project management
Governance, reporting and value realisation for large programmes — and how to use AI on them without producing confident nonsense.
Thirty years of running and rescuing programmes produces a fairly short list of things that actually determine the outcome. These guides are that list.
Half the series is about governance: the practices that make a programme steerable. The other half is about AI — which parts of the project management job it genuinely takes, which it cannot, and where pointing it at your colleagues turns a productivity question into a data-protection one.
They are deliberately practical. Where a method or a template helps, it is described in enough detail to use rather than referenced by name.
The platform behind the practice
TransformRadar
One EU-hosted workspace for planning, governance, programme health and value realisation — so status is assembled from live data instead of rewritten every month, and the age of an open decision is visible without anyone compiling it. Built by a practitioner, hosted in Paris on European-owned infrastructure.
- 100% EU-hosted, no CLOUD Act exposure, no customer data training foreign AI models
- Flat fee: €490/month base plus €29 per project, unlimited users
- Done-for-you onboarding — we migrate your existing spreadsheets and plans
Guides in this series
- Transformation governance that people actually use How to design steering groups, reporting and escalation so that governance produces decisions instead of status decks — and what to measure.
- AI in project management: what actually works Where AI genuinely helps on a large programme, where it produces confident nonsense, and the one rule that separates the two.
- Staying relevant as a project manager in the age of AI AI is dismantling a real part of the traditional PM role. What it takes, what it leaves, and what to do about it if you do this for a living.
- AI for status reports The best first use of AI in project management, and the trap that turns a time saving into a governance problem.
- AI for risks and issues Use AI to widen the net and challenge the register — never to score it. Where it finds what you missed, and where it invents analysis.
- AI for stakeholder analysis Where stakeholder mapping becomes processing personal data about colleagues — and how to get the benefit without writing something you would hate them to read.
- AI for team coaching and conflict handling The highest-risk use of AI in project management. What is legitimate, what is a data-protection problem, and what is simply the job.
- AI for technical insight when you are not an engineer AI closes a gap that used to define careers: understanding a technical decision well enough to ask the right question. And the way it goes wrong.