We train your teams, integrate the right tools, then stay close until AI becomes part of the routine. Not a YouTube tutorial, hands-on support built on your real files.
We have helped more than 1,500 public servants save up to half a day of work each week with artificial intelligence.
We teach your teams when to use AI, how to use it securely, and how to save time on administrative tasks. In that order.
The foundation, for everyone. Understanding what these tools do well, what they do poorly, and how to use them without putting your data at risk.
The heart of our training: every exercise starts from a real municipal task, with your own templates and constraints, not generic examples.
Once teams are comfortable, we shift into high gear: agents that run recurring tasks, connected to your existing tools.
The rest is making sure it sticks, and that your data stays with you, in Canada. Here are the five phases we follow with every municipality, from the first meeting to measured impact.
We meet your teams before talking about tools. We map the high-potential tasks, define the scope of your data and co-build your internal AI usage policy. Nothing generic.
Instructor-led workshops where every participant works on their real files: resolutions, meeting minutes, communications. Security and Law 25 are built into every exercise, not relegated to an appendix.
It is in the following weeks that old habits creep back. We stay present: follow-ups, Q&A sessions, targeted coaching, until AI truly becomes part of the daily routine.
We measure real usage and the hours saved, pinpoint the friction points and adjust course with your managers. Numbers, not impressions.
You leave with a council-ready impact report, a quarterly review and new automations as your teams grow in maturity. The support does not stop at training.
Munia is hosted with OVH in Beauharnois, on a network powered by hydroelectricity. Your data never leaves Canada and is never used to train third-party models.
Law 25 compliance by default: encryption at rest and in transit, access logging, an internal usage policy and cybersecurity awareness, included in every engagement.
MIT measures up to +37% productivity on tasks covered by AI. Our clients recover up to half a day of work each week, per person, without hiring.
The goal isn't to memorize ChatGPT. It's for your managers to know how to ask themselves three questions in front of any task, then choose the right tool.
A well-written instruction in a generative AI tool. The fastest solution, and often enough on its own.
An assistant configured once for a recurring task: it knows your templates, your tone, your rules.
The task runs without human intervention, connected to your existing tools. You trigger it, it executes.
When the need outgrows the generic tool, we move to an application built for the context, like Munia.
Tell us about your reality in 20 minutes. We'll propose a training and integration journey tailored to you, with no commitment.