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514-589-4563
4388, rue Saint-Denis, Suite 300,
Montréal, QC, H2J 2L1

    AI without a strategy is like GPS without a destination.

    Everyone is using artificial intelligence. Few are getting real business value out of it. The questions keep stacking up: How should the organization be transformed? In which departments should AI be activated? Is our data ready? Without a clear strategy for AI, you’re not going to get very far. Our role is to take a necessary step back and realign AI with your business objectives. 

    Trusted by leading brands

    Only 29% of CDOs have clear measures to demonstrate the business value of data.

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    An AI strategy never starts with a tool.

    It starts with a business priority.

    AI vision and framework

    Clarify the role of artificial intelligence: optimization, automation, personalization, or transformation. We help you define your AI vision by starting with your business objectives and aligning it with your marketing priorities and organizational constraints.

    1

    Data audit

    Verify whether your data are ready for AI. We evaluate the maturity of data, the tools, and your internal skills. We identify the gaps that need filling to build a solid foundation and secure future AI projects.

    2

    AI use cases and road map

    Define AI use cases based on their business impact, feasibility, and operational value. We guide you through key decisions and build an actionable road map connecting data, teams, tools, and processes.

    3

    We master the tools that matter

    Why us?

    Our strength lies at the intersection of strategic consulting, marketing data, and operationalization. We really understand all the possibilities: generative AI, AI agents, marketing automation, personalization, analytic or predictive models. But above all, we focus on transforming AI into a lever for business. Not just another project.

    Our clients’ results say it all.

    85%
    accuracy in detecting churn
    Reduce customer churn through predictive modeling and AI
    Artificial Intelligence +13

    In a high-growth context where retention is key to profitability, we helped WeCook turn its data into a competitive advantage.

    By building a unified data warehouse and developing an AI-powered churn prediction model, we enabled the team to identify at-risk customers and act proactively, with insights directly usable by marketing teams.

    Results: 85% accuracy in detecting at-risk customers, a full implementation completed in just one month despite complex data sources, and a stronger ability to generate advanced insights to optimize marketing operations.

    Proof that a strong data foundation, combined with AI, can turn complex data into actionable business decisions.

    10x
    more audience segments
    Internalizing media to reduce
    Business Strategy +11

    Ubisoft aimed to take full control of its media investments and build an in house capability aligned with its operational and business objectives.

    We supported their teams end to end, from defining a clear roadmap to selecting and implementing the right technologies across their media, data and analytics ecosystem. Every step was designed to reduce dependencies, streamline operations and increase speed of execution.

    By restructuring data, refining audience segmentation and deploying the right tools, Ubisoft significantly improved its ability to plan, activate and optimize campaigns internally.

    Result Ubisoft increased its audience segments tenfold, achieved a 127% return on investment within the first year and completed the full implementation in under six months. Proof that internalizing media can quickly drive both efficiency and measurable business impact.

    + 40%
    revenue per thousand impressions
    Using data to drive better media performance
    Data Collection and Engineering +9

    As Nespresso aimed to maximize the value of its audiences, the challenge was to move from generic targeting to behavior based segmentation.

    We implemented and activated a data management platform by leveraging CRM data to build advanced segments using clustering models. By identifying the most valuable customer profiles, we deployed highly precise audiences across channels.

    This approach turned data into a direct performance driver.

    Result revenue per thousand impressions increased by 40%, data matching processes improved significantly and over $75,000 in media efficiency gains were generated within three months. Proof that advanced data usage can quickly drive measurable performance gains.

    Finding answers is in our DNA.

    What is an artificial intelligence strategy?

    It’s the way in which AI serves the interest of business objectives: well-defined use cases, structured data, and controlled adoption to generate actual, measurable value that lasts.

    How do I know if my company is ready for AI?

    By evaluating the essential foundations needed: the quality and availability of data, the clarity of business objectives, technological maturity, and the capacity of teams to adopt new tools.

    Do you have to develop AI agents or can you integrate existing solutions?

    This depends on your business objectives, the available data, and the level of differentiation you need. An effective AI strategy compares these options based on their real impact, their complexity, and their capacity to evolve over time.

    What AI use cases should be prioritized first?

    Those that quickly improve decision making and operational efficiency: repetitive task automation, analysis and exploitation of data, personalization, and budget optimization.

    Why do AI projects without strategies fail?

    Because there is a lack of overall vision and alignment with business objectives. A well-formulated AI strategy defines what direction to take and how to get there by structuring data quality, priorities, and key decisions.

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    You know where you want to go.
    We know how to get you there.


    Tell us what you need and we’ll help you find the best solution.
    Contact us or 514-589-4563

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