Scale your team With Gen AI
We don’t sell technology.
We redesign your operating system.
Why 95% of AI projects fail
It’s not a technology problem. It’s an integration problem.
AI stays within IT departments
AI is treated as an IT project
Business teams wait for IT to deliver a solution. We integrate AI directly into operations, with the people who actually do the work.
The wrong people in the loop
AI is driven far from the field
Decisions are made by people who don’t do the work. We involve business experts from day one, department by department.
Chronic underinvestment
AI moves at the pace of committees
Approval cycles take months. Ours deployement take weeks. We speed up decision-making to unlock execution.
Every role will be impacted differently.
So will our support.
Our approach
REPLACED → AI Agents
Some repetitive tasks no longer require human intervention. We build AI agents that execute them autonomously, 24/7, without errors.
SHIFTED → Process Redesign
Some workflows must be completely redesigned to integrate AI in the right place. We map, optimize, and rebuild.
AUGMENTED → Training
Your teams stay in control, with tools that multiply their efficiency. We train them to use AI in their daily work.
We understand your organization train your teams on the right tools and automate low-value tasks.
From global vision to local execution, from frontline processes to leadership: we capture ROI wherever it exists.
The perfect quick win: one business process fully automated in one month, without fully mobilizing your teams.
10x ROI
Pragmatic AI
ROI comes from automating hundreds of simple tasks.
Top 1%
Our mission
We support the next generation of AI professionals
Start transforming my organization
An initial conversation to understand your challenges, identify quick wins, and build your AI roadmap.
AI Training
We augment your teams with AI
Your teams use ChatGPT like an enhanced search engine. Your teams use ChatGPT like an enhanced search engine. No useless theory. Concrete use cases, directly applicable to their roles.
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Operational prompt engineering
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Custom business use cases
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Measurable adoption from day one
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On-site or remote sessions
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Optimized for operational managers’ goals
7,000+ people trained over the past 12 months
Process Optimization
We redesign your processes for AI
We map your current processes, identify bottlenecks, and integrate AI where it creates the most value. With change management included to make it last.
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Process mapping and diagnostics
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Tool selection and integration
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Change management
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On-the-ground team support
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Optimized for department leadership goals
300+ processes transformed over the past 12 months
AI Agents & Automation
We automate your tasks using AI agents
Your teams use ChatGPT like an enhanced search engine. Your teams use ChatGPT like an enhanced search engine. No useless theory. Concrete use cases, directly applicable to their roles.
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Custom AI agents
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End-to-end automation
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Integration with your existing tools
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Maintenance and evolution included
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Optimized for fast integration with IT teams
50,000+ tasks executed over the past 12 months
Answers to your questions
The computing power
is already here
Six misconceptions that prevent companies from succeeding with AI.
AI is an IT topic, right?
This is the most common mistake. Generative AI is a business revolution, not a technical project. If you leave it to IT, it will stay on the sidelines. Transformations that succeed are led by operational teams, with support from IT.
We already have ChatGPT — is that a good start?
It’s a start, not a strategy. A subscription without method, training, or support is disguised underinvestment. Your teams use the tool at 10% of its potential and conclude that “AI isn’t that useful.”
We prefer to take the time to carefully choose our use cases.
While you’re spending time prioritizing, you could already be deploying. AI has become so fast to implement that the cost of hesitation now outweighs the cost of experimentation. It’s better to test five use cases in three months than to choose one in six.
We handed the project over to our data / innovation team.
Wrong reflex. AI should be led by the people who do the work, not by those who analyze the data. Business experts know the pain points, the exceptions, and the real needs. Without them in the loop, you build solutions disconnected from reality.
We’re waiting to have the right tools before getting started.
The tools aren’t missing — they’re already here. What’s missing is the method to integrate them. Searching for the perfect tool is often an excuse not to start. The companies that move forward use what exists and adjust along the way.
We want to move slowly and limit risks.
Risk aversion has become the main risk. While you move cautiously, your competitors are deploying. The real danger isn’t failing at an AI project — it’s not having launched a single one in 12 months.
Start transforming my organization
An initial conversation to understand your challenges, identify quick wins, and build your AI roadmap.
