Who this is for.
Technology businesses, manufacturers and professional teams working across technical documents and more than one language.
Evaluate the documents in the languages you use.
An AI assistant can appear useful on one English example and fail on a French question, a technical abbreviation or an older revision. Build the evaluation around the source languages and terminology the team actually uses.
Three project ideas to discuss.
French and English document search.
Prepare approved questions and expected answers in each source language. Record terminology errors and cases where the system should return no answer.
Technical support knowledge.
Test a small set of equipment or software questions against approved support material, with source citations and a human escalation path.
Model feasibility comparison.
Compare candidate local and cloud configurations on the same authorised samples. Document quality, hardware needs, dependencies and processing locations.
These are illustrative starting scopes. They are not client case studies or promised outcomes.
The decision to make before production.
Name the person who approves terminology and final answers. Language coverage and any translation work are defined in the scope; a translated page does not establish a model’s performance.
Bring this to the first conversation.
Bring a small authorised sample, its language mix and the task you want to test. Confirm confidentiality and data transfer arrangements before sending business documents.
Download the project brief checklist ↗
Work with an Alberta-based team remotely.
Andrés Garcia Quirarte is based in Sherwood Park, Alberta. We arrange phone or video discussions around your team’s Eastern time schedule. We confirm scope, reviewers, file transfer, price and timing before paid work. This page describes service for Montréal businesses; our physical base is in Alberta.
Why these project ideas fit the market.
Montréal’s business ecosystem includes AI, aerospace, technology and digital creation. The examples above are our suggested starting points for buyers in those sectors, rather than findings about every local business.
Market context: Montréal International sector overview ↗. These organisations are reference sources, not represented partners.
Related services.
- Local AI deployment: Test whether local language models fit your documents, hardware and day-to-day work.
- AI agent development: Build and test scoped AI agents, tool connections and workflows with visible human review.
- Applied AI pilots in Canada: Explore a business AI idea through a small pilot with clear inputs, comparisons and review.