AI at the helm, without losing the project in reporting
Save hours on minutes, committee slides and follow-ups, yes, but never at the price of a budget or a supplier contract in an AI with no guarantees.
IT, industrial, organizational or construction project managers: the week goes to progress summaries, committee slides, follow-ups and minutes, while risks and decisions wait. And the documents AI could digest (budgets, supplier contracts, disputes, users’ personal data) are precisely the ones a consumer AI without a data processing agreement must never see.
The point is not to keep AI out, your project team already uses it for its deliverables, but to manage it like a work package: who uses it, on which data, with which checks.
- Steering hours absorbed by minutes, committee slides and follow-ups
- Budgets and supplier contracts pasted into AI tools without a data processing agreement
- Committee decisions prepared on unverified syntheses
- End-of-project lessons never recorded, mistakes replayed on the next project
See for yourself
A prompt structured in 5 blocks: Instruction · Role and audience · Data · Constraints · Format. An unframed AI invents; the frame stops it.
In a workshop, we adapt these prompts to your real projects, safeguards included: no budget, no contract, no identifying data goes into a public AI.
Synthèse hebdomadaire de projet (Weekly Status)
The progress update in the same format every week, written from your raw notes.
See it in Chaptal →Comité de pilotage mensuel (slides + PV)
Slides and minutes drawn from the same thread, consistent with each other and with last month.
See it in Chaptal →Gestion d’un livrable retardé (replanification)
A reasoned replan and the message to stakeholders, before the delay settles in.
See it in Chaptal →30 use cases cover your line of work in the Chaptal catalog, out of 750 in the corpus · each one states what it produces, what it expects from you, and what it refuses to do.
« Le Collaborateur, augmenté »
Your project managers learn to frame AI on their real deliverables, safeguards included.
See the training →AI usage audit
An inventory of the AI usage already present in your projects, and the framework to hold it.
See audit & advisory →Foire aux questions
Can I paste a budget or a supplier contract into a consumer AI?
Not without a data processing agreement: what you paste can leave your control. The framing provides anonymization before anything is sent, and tools that train no public model on your content.
Can AI write my minutes and steering committee reports?
Yes, from your notes or a transcribed recording. A framed prompt states the expected format and what it refuses to invent · the review stays yours.
My project processes personal data · what does the nLPD change?
It requires framing the processing before you build, not after. A use case in the sheet walks through exactly that framing, from the data inventory to the rights of the people concerned.
Does AI replace my project management tool?
No. It writes, summarizes and prepares from what your tools already contain: the plan, the budget and the risk register stay in your systems.
Should the whole project team be trained, or just the project manager?
Usage appears everywhere, not just with the project manager. A common base for the team, then deeper work for those who steer, holds better than isolated expertise.