Analysis, method, field notes.
What we learn putting AI into operating companies and public organizations. No hype, just what happened.
Avenor Innovations joins Anthropic’s Claude Partner Network
More than 40,000 firms have applied to join Anthropic’s partner network. After reviewing our projects in production, Anthropic said yes to Avenor Innovations.
Avenor Innovations becomes an OpenAI Select Partner
After reviewing our expertise and production deployments, OpenAI named Avenor Innovations a Select Partner.
ChatGPT, Copilot or Claude: which one for your business
We partner with all three. Here is how we help clients choose: by where their work actually happens, not by this month’s leaderboard.
Connecting AI to your email, your ERP and your documents
An assistant that doesn’t know your business stays an intern. How to give it the memory of your clients, parts and prices, without opening a security hole.
ERP data: the cleanup to do before an AI project in a plant
A planning AI is only as good as the records it reads. Why the quality of your ERP data decides the project, and how to fix it without stopping the plant.
Predictive models for small businesses: what your data can forecast
Your orders, work orders and invoices already know things about the future. Five useful forecasts for a small business, and what you need before building a model.
STIQ covers 3D Coupe’s move into AI
Québec’s industrial subcontracting network runs an article on our client: a technology roadmap, a material-selection assistant and automated quote estimating.
From 58 to 15 minutes: what quoting a CNC part taught us
A cutting quote was sitting in a PDF that only the programmer could read. How we got it out, and what the numbers really say.
8 million airfare prices: what really sets the price of a ticket
A project for Pulse Incubateur HES, prediction models built in Python and a conclusion that contradicts a common belief about layovers.
Law 25 and AI: what a Québec SME should check before plugging in a tool
A practical guide, not legal advice: the Law 25 obligations that affect an AI project most, and how to build them in from the start.
Funding for an AI project in Québec: what exists in October 2026
ESSOR, federal programs, productivity grants: an overview of what can pay for part of your project, and the traps to avoid.
What an AI project costs in an SME, and what makes the bill vary
No magic price grid. The six things that determine the cost of an AI project, and how we assess whether it’s worth it.
Automating Outlook email with AI: what really gets in the way
AI reads your email very well. It’s when it has to prepare a real reply, ready to send, that things get complicated.
Why starting small with AI works better
The instinct with AI is to go big. That is usually where things stall.
Compliance is not decided by the technology, it is decided by the tool category
Same model, same vendor, same environment. You configure an agent instead of opening the chat, and you have just changed regulatory regimes.
The AI diagnostic: what to look for first
A good diagnostic is not hunting for the perfect technology. It maps where the time goes.
Automating documentation in healthcare: what we learned
Privacy law, sensitive data, human review. Field notes from a demanding environment.
5 signs your company is ready for AI automation
The answer has nothing to do with your sector and everything to do with what happens in your operations.
Automation, generative AI, AI agent: what actually separates them
Three terms used everywhere, often loosely. Here is how we tell them apart.
The real test of a successful AI project, and why most miss it
It feels like it saves time. The key words are feels like.