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"The work done with Quartier AI has transformed our operations. We now track our projects in real-time through an operational dashboard, and all important information is centralized and accessible. This improves administrative monitoring and daily decision-making. And we are only at the beginning of what's possible."

Érik Kingsbury
President and CEO

Step 01
Define the Strategy
Understand your operational reality and build your AI roadmap.We assess your technological maturity, map your key processes, and identify high-potential use cases. You'll leave with a sequenced 3-to-12-month roadmap, an ROI calculation for each initiative, and a clear vision of what will be deployed, in what order, and for what outcome.
Step 02
Develop the Proof of Concept
Build a first functional version, based on your real processes. We design a prototype that leverages your real data and processes. This proof of concept allows you to see AI and technology working within your processes, identify necessary adjustments, and validate the approach before large-scale deployment.
Step 03
Validate the Proof of Value
Compare prototype results with your real operational data.We measure the impact of the proof of concept using the data you shared with us upfront: volume of repetitive tasks, time spent by your teams, associated costs. The before-and-after comparison is quantified (hours saved, errors avoided, productivity gained). You get tangible proof of ROI before investing a dollar in technology.
Step 04
Deploy AI and Automation
Integrate the solution into your operations, at your own pace.Deployment begins once the proof of value is confirmed. We integrate the solution with your existing systems, train your teams, and operationalize AI within your processes in a matter of weeks. The goal is to accelerate adoption so that the benefits measured during the pilot phase quickly materialize across your organization. Your teams remain in control; AI executes.
Discover how our clients transformed their operational challenges into competitive advantages.
How La Boîte à Grains saves +40 hours per month

How NAPA Auto Parts saves +60 hours per month

How HOM mini chalets standardized its operations in 8 weeks.

Companies that define an AI strategy upstream achieve their return on investment 3 times faster.
days
The time it took NAPA Auto Parts to deploy an administrative agent. From identifying the need to system integration.
Hours
The monthly hours La Boîte à Grains saves on a single process since deploying AI.
Field data

Kingsbury Electric
Erik Kingsbury
Customer Testimonials
