Measuring the return on investment of an artificial intelligence project often seems complex. Many Quebec companies are investing in AI... but struggle to demonstrate concrete gains. Projects take a long time, results are slow to come in, and enthusiasm eventually runs out of steam.However, it is possible to find out quickly, in just a few days, whether an AI use case can really generate a ROI for your organization.
At Globalia, we've developed a simple, pragmatic method that's perfectly suited to local businesses, an AI analysis that measures your ROI in less than 10 days.
In Quebec, the majority of AI projects never deliver the expected results.
Not because the technology isn't good, but because projects lack structure, don't start with clear objectives, don't define a baseline to measure before/after, and stretch on for months before even proving value.
We see companies testing conversational agents, trying out automation or AI tools... but without a clear framework. The result? A lot of noise, little ROI.
These are not technological failures. They're failures of method.
It has often been said that AI requires months of analysis, development and integration before demonstrating its value. This paradigm belongs to the past.
Today, successful companies are those that measure ROI in days, not quarters, from a targeted prototype built on a clear use case and validated by real data. Gone are the days of "black box" AI projects, too long, too expensive and too theoretical.
The truth is that rapid proof of value has become a strategic imperative :
to reduce risk before committing further ;
to demonstrate tangible gains to internal teams;
to unlock funding or management buy-in more quickly;
to avoid devoting resources to initiatives that will never scale up.
Quebec organizations don't have the luxury of "testing for testing's sake". They need to know quickly whether an AI initiative really creates value, and if so, how much, where, and how fast.
That's exactly the philosophy behind our method: prove quickly, on the ground, where AI generates ROI... before even thinking about full deployment.
At the heart of our approach is a short, pragmatic and measurable sprint that leads companies to a working prototype... and a credibly estimated ROI.
Here's how the method is structured.
It all starts with clarity.
We identify :
This is where we establish the measurable starting point for before-and-after comparisons.
Without a measurable starting point, no ROI is possible.
Together with your teams, we explore the areas where AI can :
We look at your critical processes such as customer service, finance, HR, IT, production, sales, etc. It's a guided, rapid and highly structured exploration.
Not all AI ideas are created equal.
We position them in our matrix according to :
This helps rule out bad ideas... and brings out the right AI use cases.
An idea may be brilliant, but impossible to execute right now. Or very feasible, but with little value.
So we prioritize according to:
This is where we identify the use case to be prototyped in the AI sprint.
At the end of the sprint, you'll have :
It's a strategic document... but understandable. No unnecessary jargon. Just concrete.
Measuring ROI is based on simple indicators, adapted to local realities.
The main ones are:
Quebec companies don't need theoretical models. They need concrete gains.
Let's take a typical scenario in a service company.
An employee spends 4 hours a day :
AI analysis → prototype: → partial automation that reduces the task to 45 minutes.
Measured gain
3h15 saved per day
≈ 16 h per week
≈ 64 h per month
At $40/hr → $2,560/month saved.
ROI: ~4 weeks.
Management understands immediately. And teams naturally adopt-it's simple, useful and fast.
Once implemented, we track gains on an ongoing basis:
The complete loop:
A simple, yet extraordinarily effective approach.
AI is not a technological gamble, it's a lever for operational efficiency. In less than two weeks, a Quebec company can :
It's a realistic, pragmatic approach, perfectly adapted to Quebec companies.
Globalia's AI Discovery Session enables you to identify your best opportunities, estimate your ROI and start an AI Sprint that delivers measurable results, quickly and without unnecessary complexity.
Yes. With the right method (baseline + prototype + metrics), it's not only possible, it's essential.
Around $5,000, depending on the context. This is deliberately affordable to test before investing more.
It's your reference point, current time, costs, errors, volume, etc. Without a baseline, there's no ROI. Without a baseline, no ROI is reliable.
Repetitive, heavy, frequent tasks: request processing, data entry, forms, customer service, HR, IT.
Very few, an operational manager and one or two key people.
From 5 to 40 hours saved per month per employee, depending on the case.
You receive a prototype, the estimated ROI and an executive AI roadmap.
With an AI Discovery Session, the easiest, quickest and most effective way to get started.