Artificial intelligence and data —
From strategy to implementation
Artificial intelligence and data only create value when they are aligned with concrete business challenges and integrated into the operational reality of teams.
We support organizations at every stage of their data and artificial intelligence journey, from identifying the right use cases to delivering useful, adopted, and measurable solutions.
What does it involve?
Our expertise in “Data and Artificial Intelligence” aims to help organizations structure, prioritize, and implement their artificial intelligence initiatives.
It is designed for companies that want to move beyond experimentation and transform their data into sustainable drivers of performance, decision-making, and operational efficiency.
Our approach considers that an AI solution starts as a project but lives as a product, requiring a clear vision, continuous evolution, and constant attention to the value generated.
Unlike a traditional technology project, an artificial intelligence solution requires an evolutionary approach, where performance, adoption, and value must be monitored and adjusted over time.
What the solution enables you to achieve?
Depending on your level of maturity, we help you to:
- Identify the best use cases for artificial intelligence in your organization.
- Align AI initiatives with your business priorities.
- Develop a clear vision and roadmap.
- Reduce risk before investing.
- Design and deliver concrete, usable, and scalable solutions.
Each intervention is designed to quickly confirm value before moving forward. This approach also helps to secure strategic decisions and validate investments before committing to more significant efforts.
An offer tailored to your maturity level
01 —
Artificial Intelligence Acceleration Workshop
02 —
Roadmap for artificial intelligence
03 —
Artificial intelligence solution framing
04 —
Launch and implementation of the solution
Artificial intelligence and data use case
Nexus co-développe l’application BTX : Un outil d’évaluation de santé globale par intelligence artificielle
Au Canada, 33 % des congés de maladie sont dus à des maux de dos, et les pertes de productivité qui y sont associées engendrent des coûts qui s’élèvent à près de 37,6 milliards de dollars. […]
View the use case
FREQUENT ASKED QUESTIONS
FAQ
How does an artificial intelligence project differ from a traditional technology project?
Unlike a traditional IT project, an artificial intelligence solution does not end with delivery. Data evolves, uses change, and the model’s performance must be monitored and adjusted over time. That is why we approach AI as a living product, requiring continuous improvement and appropriate governance.
Do you need perfect data to start an artificial intelligence project?
No. Most organizations start with incomplete, imperfect data that is spread across multiple systems. The goal is not perfection, but rather to determine whether the available data is sufficient to create value, and then to gradually improve its quality as the project progresses.
How do you secure decisions before investing further?
Our approach is designed to confirm value quickly. Each step (workshop, roadmap, scoping, launch) acts as a decision point, allowing assumptions, results, and return on investment to be validated before committing to more significant efforts.
What is the difference between a pilot project (POC) and your approach?
Pilot projects often aim to demonstrate technical feasibility. Our approach, however, focuses on delivering a useful and usable first version that is designed from the outset to evolve. We avoid POCs that remain on the shelf by emphasizing adoption and real business value.
How long does it take to see concrete results?
It depends on the use case and the maturity of the organization, but our goal is always to deliver value as early as possible. In many cases, an initial gain can be identified during the workshop or confirmed during the launch and minimum viable product.
What happens after the solution goes live?
Production launch is not an end, but a step. After deployment, we support teams with a guided production launch phase (hypercare), followed by monitoring to ensure the stability, performance, and evolution of the solution over time.
Do you use a specific methodology for artificial intelligence projects?
Yes. We use an agile approach inspired by SCRUM, adapted to the realities of artificial intelligence. This method promotes short cycles, frequent demonstrations, and the ability to adapt quickly to learnings generated by data and models.
Do all organizations need artificial intelligence solutions?
No. Artificial intelligence is not an end in itself. It is relevant when it addresses a real business problem, with clear and measurable objectives. This is precisely what we validate in the early stages of our support.
SOLUTIONS DESIGNED TO BE LOVED.
Why choose Nexus Innovations?
Because we approach artificial intelligence as a business lever, not just a technology. Our pragmatic approach allows us to integrate solutions into your existing ecosystem, ensure their adoption, and evolve them over time to generate concrete, measurable, and sustainable value for your organization.
HUMAN FIRST APPROACH
Addressing technological challenges from three perspectives.
