GOFIAN AI
GOFIAN AI

AI for Heavy Industry

This initiative, led by Philippe Maréchal, aims to advance heavy industry by leveraging collective human and AI intelligence to drive sustainable impact.

Sign up — free
Use cases

For every industrial role.

Prompts tailored for field teams and their decision-makers. Click to explore a category.

How GOFIAN AI structures your use of AI.

  • Automation matrix
  • Human ai collab
  • Prompt structure
Prompt preview

One of our industrial prompts.

Sign up for free to copy this prompt and access the full library.

Predictive maintenance

FMEA on a recurring defect

Find root causes + a prioritised action plan.

Quand l'utiliser

When the same defect repeats across similar equipment.

Comment l'utiliser

Describe the defect, context, known variables. Ask the AI to structure a classic FMEA (mode / effect / cause / severity / occurrence / detection) then an action plan.

Le prompt

Inscrivez-vous pour le copier en un clic.

S'inscrire pour copier
You are an FMEA engineer. Analyse this defect: [DESCRIBE].

Context: [CONTEXT].
Known variables: [VARIABLES].

Provide:
1) Possible failure modes (≥ 3)
2) Potential causes per mode
3) Severity (1-10), occurrence (1-10), detection (1-10), RPN
4) Prioritised action plan with owner + suggested deadline

Format: structured table.
Bientôt ouvrable dans :ChatGPTClaudeGeminiCopilot

Ce que vous obtiendrez

A complete FMEA table + 3-5 corrective actions prioritised by RPN, ready to assign at a meeting.

Astuce de Philippe

Optional tip — removable from the Dashboard.

Sign up — free
Philippe Maréchal inspecting a limestone sample at a quarry

Limestone quarry — visual check before XRF analysis

Field-tested

Heavy industry isn't a slide deck.

Every prompt in the GOFIAN AI library is tested against real-world situations — quarries, production lines, control rooms, quality plans. That's what separates a prompt that works from a prompt that just sounds good. GOFIAN AI is led by Philippe Maréchal: 20 years in heavy industry, MIT training, and the conviction that AI is only useful to an engineer if it speaks the field's language.

  • Systematic field validation: quarry, line, workshop
  • Prompts framed by industrial use case, not by technology
  • Continuous watch on models (ChatGPT, Claude, Gemini)
The origin

The founder.

Philippe Maréchal, founder of TCMI

Philippe Maréchal

Founder · TCMI

A trained engineer, Philippe sharpened his expertise in heavy-industry plants before specialising at MIT on applying AI to real industrial problems. Today he works alongside engineering teams — design, production, maintenance, supply chain, quality — to turn generative models into everyday tools. GOFIAN AI is his library of prompts proven on the floor.

  • MIT · Applied AI
  • Heavy industry
  • TCMI · Consulting
LinkedIn
Philippe Maréchal presenting the lime production process to a training group

Training session — from limestone to quicklime: process unpacked

Training & support

Beyond prompts: hands-on guidance.

TCMI partners with industrial teams to roll out AI tools effectively. On-site workshops, training sessions, one-on-one coaching: the library is the starting point, not the destination. Goal — moving from "I've heard about ChatGPT" to "I've automated 30% of my technical-spec writing in three weeks".

  • On-site workshops (½ day to 3 days)
  • One-on-one coaching for technical leads
  • Co-writing prompts adapted to your process
Get in touch with Philippe