Architects & engineering firms

AI at the firm, without exposing your clients’ projects

Save hours on site minutes, tender comparisons and project letters, yes, but never at the price of a plan or a contractor’s bid in an AI with no guarantees.

Your reality

Architecture, civil or building services engineering firms: the weeks go to site minutes, bid comparisons, amendments and fee reminders, while the design work waits. And the documents AI could digest (plans, contractors’ bids, mandate contracts, permit files) are precisely the ones a consumer AI without a data processing agreement must never see.

The point is not to keep AI out, your staff already use it for their reports, but to manage it like a site: who uses it, on which documents, with which checks.

What this costs you
  • Design hours absorbed by minutes, bid comparisons and amendments
  • Plans, contractors’ bids and mandate contracts pasted into AI tools without a data processing agreement
  • Additional services performed without a written amendment, fees never collected
  • Cost overruns and delays noted without a dated written record, evidence rebuilt when the dispute comes
The Palambur Method in action

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 mandates, safeguards included: no plan, no contractor’s bid, no identifying data goes into a public AI.

Prompt Chaptal

Procès-verbal de séance de chantier · décisions, délais, responsables

Minutes written from your meeting notes, in the same format every week, decisions and owners named.

See it in Chaptal →
Prompt Chaptal

Appel d’offres aux entreprises et tableau comparatif des soumissions

The bid comparison table prepared for the award decision, gaps and reservations made visible.

See it in Chaptal →
Prompt Chaptal

Dépassement de coût · l’annoncer le jour où il est connu

The announcement to the client written the same day, factual, with the options on the table.

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.

Where to start
Training

« Le Collaborateur, augmenté »

Your architects and engineers learn to frame AI on their real deliverables, safeguards included.

See the training →
Audit & advisory

AI usage audit

An inventory of the AI usage already present in your firm, and the framework to hold it.

See audit & advisory →
F.A.Q.

Foire aux questions

Can I paste a plan or a contractor’s bid into a consumer AI?

Not without a data processing agreement: what you paste can leave your control, and bids are entrusted to you for the award, not for a cloud with no guarantees. The framing provides anonymization before anything is sent.

Can AI write my site meeting minutes?

Yes, from your notes or a transcribed recording. A framed prompt imposes the decisions, deadlines, owners format and refuses to invent what was not said · the review stays yours.

Who answers for an AI error in a document the firm signs?

The firm, as for any document it delivers. That is why the method treats AI like a junior colleague: it prepares, the professional checks and signs.

A competition requires anonymity · does AI put it at risk?

It can, if the submission passes through a tool that keeps or reuses your content. The framing names the tools allowed and what never goes in, the anonymity of the entry included.

What happens to copyright and project confidentiality if AI processes my plans?

The risk comes from tools that learn from what they are given. The framing rule is simple: no plan goes to a model that trains on your content · and a use case in the sheet covers what the client may do with your plans.

Next step

Talk about your practice