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About

Where operations, automation and artificial intelligence meet.

A pragmatic, process-driven approach, centred on operational impact rather than technology hype.

The company

Avenor Innovations

The Avenor Innovations mark
Flip side

We don't sell AI. We remove work that should never have been done by hand.

Based

Québec City region

Serves

Companies and public organizations, from manufacturing to the health network

Mandates

Built to measure. No product catalogue.

Compliance

Designed in from the start, not added at the end of a project.

Raphaël Dionne, Avenor Innovations
The Avenor Innovations mark
Flip side

If a tool needs three days of training, it's the wrong tool.

Raphaël Dionne. Hover the photo.
Bio & Introduction

I work with manufacturing SMBs, B2B distributors and public organizations. I take the file end to end: understanding the need, building the plan, developing the solution, integrating it into operations and following it once it is running.

I learned AI on real mandates, on factory floors, in distribution and inside public organizations. The same finding comes back every time: what blocks a project is almost never the technology. It is poorly defined processes, scattered data and teams nobody brought along.

My path starts with a bachelor's degree in administration, entrepreneurship profile, from UQAR's Lévis campus. The technical side was added alongside it at the University of Helsinki: Python programming and machine learning algorithms. I completed the last stage of my degree at HEG Geneva, in Switzerland, in a concentration combining AI, machine learning and the management of corporate innovation projects.

The technical training tells you what is feasible. Knowing what is worth doing is learned on mandates.

Capabilities

What we can be called on for

Diagnostic and process
  • Process mapping
  • Operations analysis
  • Prioritization by impact
  • Lean for SMBs
Applied AI and automation
  • AI agents
  • Multi-agent chains
  • Document processing
  • No-code and low-code automation (Make, Zapier, Notion, Sheets)
  • Copilot and Microsoft AI
Development and data
  • Python
  • Machine learning
  • Predictive modelling
  • Web and application development
Compliance and governance
  • Law 25
  • Health and public sectors
  • Human review on sensitive decisions
Contact

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