Adviso - Objectives - Your AI Integrations Adviso - Objectives - Your AI Integrations

AI that generates

AI is a priority, but too many projects remain experimental, in silos, or disconnected from your business issues. We help you transform AI into real-world results. 

Trusted by leading brands

Do you use AI to create value or just for experimentation?
Are your data truly ready to support artificial intelligence projects?
Do you know which AI use cases will have the most impact on your results?
Does your marketing team know how to integrate AI into its decisions?
Do you have an AI strategy, or just isolated initiatives?
Do your AI projects generate actual impact on your growth or profitability?

Only 12% of companies are generating both revenue growth and cost savings from AI.

PwC

How we assist the AI transformation.

AI only creates value when it’s aligned with clear business objectives, supplied with reliable data, and integrated into the organization’s strategic decisions. 

Strategic framework

We identify the business objectives that AI can actually improve: growth, profitability, efficiency, or customer experience. 

1

Data and maturity diagnostic

We evaluate your organization’s true capacity to deploy AI by analyzing the quality, accessibility, and governance of data. 

2

Identification of priority use cases

We prioritize AI use cases based on their potential impact, feasibility, and contribution to business results. 

3

Model design and integration

We design AI solutions adapted to the needs of the organization and integrate them into existing processes. 

4

Activation and learning

We deploy the prioritized initiatives and measure their real impact on results. 

5

Standardization

We put in place tools, dashboards, and processes to integrate AI into business decisions for the long term. 

6

Or head straight to our artificial intelligence services.

Sound good? Talk to our consultants. 

Our business consultants have acquired over 20 years of experience and have assisted some of the largest organizations in Quebec with data structuring and the strategic integration of artificial intelligence. Our consultants can also step in as a fractional CMO to support your AI initiatives. 

Speak with Our Consultants

We master the tools that matter

Why us?

At adviso, artificial intelligence isn’t just another tech trend. It’s a strategic lever in the service of business results.

AI isn’t confined to the IT department. We combine it with strategy, data architecture, marketing technologies, and activation. This lets us deploy advanced AI solutions (CI360, MMM, AI agents) aligned with your objectives and integrated into your marketing teams.
 

Our clients’ results say it all.

1080x1080_Rando_Turnover-SS24-1
+ 549%
ROAS
Optimizing paid search with AI

In a complex market where every dollar counts, we helped Sail fundamentally rethink its media performance.

By combining artificial intelligence, first-party data, and offline signals, we optimized every lever to maximize the real impact of its investments.

The result: 549% ROAS, $16M in online revenue, and an increase in average order value, proof that a well-structured approach can transform marketing performance into concrete business results.

SAIL | Optimizing paid search with AI
WeCook-barquettes-1 (2)
85%
accuracy in detecting churn
Reduce customer churn through predictive modeling and AI

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.

WeCook meals | Reduce customer churn through predictive modeling and AI
Ubisoft
10x
more audience segments
Internalizing media to reduce costs

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.

Ubisoft | Internalizing media to reduce costs
busbud
+ 850%
ROAS
Automating SEM to scale global growth

Facing the challenge of managing hundreds of thousands of routes across multiple countries and languages, Busbud could no longer rely on manual SEM campaign management.

We built a fully automated architecture using scripts and APIs to generate, manage and optimize campaigns at scale. This allowed real time adjustments based on performance while reducing human error.

By combining automation and data analysis, we turned an operational challenge into a growth engine.

Result a return on ad spend of 850%, a 20% click through rate in North America and a tenfold increase in sales. Proof that automation can unlock performance that would be impossible to achieve manually.

Busbud | Automating SEM to scale global growth
Nautilus Plus
- 82%
cost per in store visit
Connecting digital efforts to in store visits to drive acquisition

In a context where final conversion happens in store, Nautilus Plus needed to better measure and optimize the real impact of its digital investments.

We deployed an omnichannel strategy combining online and offline data to better understand user journeys and identify the most effective levers. By optimizing campaigns based on key moments and behaviors, we increased qualified in store visits while reducing costs.

This approach turned digital into a true driver of offline acquisition.

Result cost per in store visit decreased by 82%, in store prospects increased by 9% and annual memberships grew by 13%. Proof that a well measured strategy can effectively connect digital efforts to real business outcomes.

Nautilus Plus | Connecting digital efforts to in store visits to drive acquisition
nespresso
+ 40%
revenue per thousand impressions
Using data to drive better media performance

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.

Nespresso | Using data to drive better media performance

Finding answers is in our DNA.

How do you integrate artificial intelligence into a business?

By first identifying the use cases that truly contribute to business objectives. AI integration is then accomplished through structured data, the prioritization of initiatives with high impact, and their integration into existing processes. 

What are the best use cases for AI in marketing?

Those that improve profitability and decision making such as customer churn prediction, marketing investment optimization, customer experience (CX) personalization, advanced performance analysis, and demand forecasting. 

Why do AI projects fail so often?

Generally for three reasons: (1) insufficient or badly structured data, (2) a lack of alignment with business objectives, and (3) an absence of governance and prioritization. 

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

When it owns reliable data and has clear business objectives and teams capable of exploiting the insights that are generated. An evaluation of your maturity lets you identify the stages you need to go through before launching AI projects. 

How do you prioritize artificial intelligence projects within a business?

Based on three criteria: (1) their potential impact on business results, (2) the quality and availability of the data needed, and (3) their ease of integration into existing processes. Focus your efforts on three to five AI use cases with high impact. 

Find and leverage what really matters.

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