We train your engineers and drafters to use AI on the firm's own projects — calculation memos, reports, spec and drawing review, and bids — while every number and the professional responsibility stay with the engineer. On-site for one to two months, then three months of remote reinforcement so it holds.

The honest line in an engineering firm is simple: a calculation memo, a structural report, a stamped set of drawings — those carry a person's professional responsibility, and no model changes that. So the question is never whether AI can do the engineering. It is whether AI can take the slow writing and checking around the engineering off your people without ever touching the numbers they answer for.
That is exactly where we train. We start from your own projects — your calc memos, your reports, your spec sections, your tender packages — and we build a way of working where AI drafts, organizes and cross-checks, while the engineer verifies, decides and owns the result. Not a generic demo; the work already on your desks.
Discipline is the whole point. Every figure gets traced back to its source before it goes anywhere, and there is a clear line between what a model is allowed to do and what stays human. A confident wrong number in a memo is worse than no number at all, and your team learns to work so that never happens.
Turning inputs your engineer has already worked out — loads, assumptions, results — into a clean, readable memoria de cálculo or technical report in the firm's format. The AI drafts the prose and the structure; the numbers, the assumptions and the sign-off stay with the engineer who owns them.
A disciplined second read across specs, schedules and drawings: catching the clause that contradicts the plan, the detail that is missing, the quantity that does not match between the civil, structural and MEP sets. The AI surfaces the discrepancy; the engineer decides what it means and how to resolve it.
Assembling and pressure-testing technical proposals for public and private tenders: drafting method statements and scopes in your voice, and checking a package against the tender's own requirements so a formatting slip does not disqualify a bid you were positioned to win.
Where the numbers and the engineer's judgment stay human, by design. We set a clear rule on what never goes into a public tool — client drawings, site data, bid strategy under the LFPDPPP — and make verifying every figure against the source a reflex, because a calculation carries a person's professional responsibility, not a model's.
Calc memos and reports drafted faster, in the firm's format, with the numbers still worked and checked by the engineer who stands behind them.
A reliable second read that catches spec-versus-drawing conflicts and cross-discipline gaps before they reach the site.
Tender packages assembled faster and checked against the requirements, so fewer bids die on a technicality.
A clear, written line on what project and client data never leaves the firm, defensible under the LFPDPPP.
Habits that hold up under deadline, because every engineer built them on real projects — reinforced one-on-one for three months after we leave.
No, and that is the point. The numbers, the assumptions and the professional responsibility stay with your engineer. The AI drafts the writing around the work — the memoria, the report, the proposal — and gives you a faster, sharper second read on specs and drawings. Every figure is verified against the source before it goes anywhere. A calculation carries a person's responsiva, and we design the workflow to keep it that way.
One to two months on-site, where we train every engineer and drafter hands-on using the firm's own projects, followed by three months of remote one-on-one reinforcement your team books as questions come up. The on-site length depends on the size of the firm and how many disciplines — civil, structural, MEP, industrial — are involved.
The core training is on-site — desk by desk, on live projects — because that is what makes it stick and lets us see how your firm actually delivers. The three months of reinforcement afterward are remote: your people schedule one-on-one sessions whenever a new project or question arises.
Confidentiality is the default, not an add-on. We set up private, secure ways of working so drawings, site data and tender strategy are never fed into public tools, in line with Mexico's data-protection law (LFPDPPP). Where a project demands it, we can design a private or on-premise setup so nothing leaves your control.
Yes. The founder works in both, and training is delivered in whichever language your team is most comfortable with — including mixed teams. This suits firms in Mexico City working with international clients, foreign consultants and English-language codes and standards.
Every engagement is quoted to fit, because the right scope depends on the size of the firm, the disciplines involved and your security requirements. It works for boutique offices and larger firms alike; what matters is training the whole team, not a single power user.
Tell us about your firm and the projects you deliver. We'll reply within one business day, in English or Spanish, and propose a scope quoted to fit.