AI does the work your software can't.

Reading a purchase order whose format changes every time. Answering an operator from your procedures. Matching an invoice to a delivery slip. This is the last step of our method, the one where your people stop reading, re-keying and searching. We build it on what you've already written down and connected, with clear rules from day one.

  • 15 years in manufacturing and supply chain systems
  • Based in Quebec, service in French
  • Delivered Law 25 compliant
  • Eligible for Quebec grants

YOUR SITUATION

Does this sound like you?

  • Your people re-key what comes in by email. Supplier confirmations, purchase orders, invoices, in French or English, each in its own format. No conventional software can read them, so someone does it by hand.

  • The same questions keep coming up on the floor. The answers are in your procedures, but nobody looks there. They call Jean.

  • Your systems are in place, and there's still a lot of manual work. The ERP is configured, data flows, and hours still go into sorting, reading and compiling.

  • Your employees already use AI, with no framework. On personal accounts, with data leaving the company. The appetite is there. The rules and the right tools aren't yet.

  • Vendors promise miracles. An impressive demo, a high price, and no way for you to judge whether it's useful for you.

THE COST

What it costs

  • Hours spent reading. Open a document, pull out three numbers, type them somewhere else. Times every order, every invoice, every week.

  • Written know-how nobody uses. You invested in documenting, and the information sits in a binder while questions keep interrupting your best people.

  • AI plugged into nothing. An AI tool sitting on undocumented know-how answers confidently, and often wrongly. The AI project turns into a documentation project in disguise, longer and more expensive than planned.

  • Data that is no longer yours. Quotes, prices, drawings and customer information handed to consumer tools, while Law 25 obligations already apply.

  • Falling behind, too. Doing nothing while others get equipped has a price. The goal is to use AI in the right places.

WHAT WE DO

Three ways to put AI to work

Automatic reading of your documents

Purchase orders, supplier confirmations, invoices, in French or English: AI reads them, checks the data and posts it to your ERP. Your people handle only the exceptions.

You get: documents processed in seconds, and hours won back, measured before and after.

An assistant that answers from your documents

Procedures, work instructions, troubleshooting history: employees ask in plain words, in French or English, and get the answer from your own documents, with the source.

You get: fewer interruptions for your key people, and new hires up to speed in weeks rather than months.

Automations that handle requests

Customer emails asking about an order, internal requests, reports compiled by hand: AI sorts, summarizes, replies or prepares the work, end to end where it can.

You get: repetitive tasks that run on their own, with a person still in charge of the unusual cases.

THE FRAMEWORK, INCLUDED

AI is only useful if it's safe

Every project comes with what you need to use it without risk.

  • Use cases chosen by return. We start from your bottlenecks, not from the trendy tool, and size the expected gains before we begin.

  • Clear rules. Which tools are approved, which data never leaves, which uses are forbidden. A short policy your employees can follow, and approved tools that replace personal accounts.

  • Law 25 compliance. Every solution we deliver is compliant from day one, with the documentation you need in an audit.

  • Training for your teams, by role. Management, supervisors, administration, production: what the tool does, what it doesn't, and how to recognize an answer worth distrusting.

  • An independent read on the offers you receive. We look at what your vendors are proposing and tell you straight what holds up. We sell no licences.

HOW WE SOLVE PROBLEMS

Understand, improve, equip, augment.

We start from the problem and pick the simplest fix that will last. This page covers the last of the four steps.

  1. 1

    Understand

    Know what AI would have to read in your company, and how it's already being used. An assistant only knows what you give it.

    Knowledge Continuity
  2. 2

    Improve

    Write the procedures down, clarify the process, set the rules. Automating a fuzzy process only makes it go wrong faster.

    Operations Efficiency
  3. 3

    Equip

    Connect the systems AI will feed. An AI that reads an invoice needs somewhere to put the result.

    Systems and Software
  4. 4You are here

    Augment

    Once know-how is written down and systems are connected, AI takes on what no conventional software can: reading, sorting, answering. It's the step that changes daily work the most, and the one that depends most on the other three.

Automating a bad process only speeds up the mess. That's why we rarely start with technology, and never with AI.

WHERE TO START

Thirty minutes to find out whether this applies to you.

Two ways to start, both free: talk it through with us, or size it up yourself first.

The discovery call

Thirty minutes. You tell us where your people spend their time reading, re-keying or searching. We tell you whether AI is the right answer, or whether there's a step to take first.

The free self-assessment

Ten questions to place your plant on know-how, workflows and AI. Fifteen minutes, without talking to us.